Python Developer Jobs in Saudi

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Role</h3> <p style="margin:0 0 12px; ************;">Jobgether is seeking a Software Engineer, Data Infrastructure &amp; Acquisition to join a partner company. This full-time position is based in Saudi Arabia and focuses on building and scaling systems for large-scale dataset acquisition, crucial for next-generation machine learning models. The role operates in a fully distributed environment, collaborating with engineers, researchers, and product leaders to design robust ingestion pipelines for massive, high-quality audio and text datasets. This work directly influences how data is collected, processed, and transformed into training assets for AI innovation.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Context and Impact</h3> <p style="margin:0 0 12px; ************;">This position is situated at the intersection of software engineering, data infrastructure, and applied AI. The engineer will contribute to enhancing the cost-effectiveness, scalability, and efficiency of data systems, while also helping to define the roadmap for dataset development. The environment is fast-paced, highly collaborative, and technically focused, offering significant ownership and autonomy. This is an opportunity to shape foundational infrastructure utilized by millions of users globally.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Build, maintain, and scale large-scale data ingestion and acquisition systems supporting AI model training and product development.</li> <li style="margin:0 0 6px;">Design and extend cloud-based infrastructure, optimizing data pipelines for efficient processing of high-volume datasets across distributed systems.</li> <li style="margin:0 0 6px;">Collaborate with AI scientists and engineering teams to improve data quality, reduce costs, and increase throughput for training workflows.</li> <li style="margin:0 0 6px;">Identify and integrate new external data sources, including audio and web-based datasets, into production pipelines.</li> <li style="margin:0 0 6px;">Contribute to defining dataset strategy and architectural decisions for long-term scalability and reliability of infrastructure systems.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Qualifications and Experience</h3> <p style="margin:0 0 12px; ************;">The ideal candidate possesses strong software engineering experience, with a focus on distributed systems, data infrastructure, or backend engineering in production environments. Proficiency in Python and Linux-based development workflows is essential, along with familiarity with cloud platforms like GCP and infrastructure-as-code tools such as Terraform. Experience with Docker, large-scale data pipelines, or web crawling systems is highly valued. Candidates should be comfortable working in fast-paced, ambiguous environments and managing multiple priorities. Strong communication and cross-functional collaboration skills are required. A background in Computer Science or a related technical field is expected, demonstrating a proven ability to build reliable and scalable systems.</p> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">5+ years of software engineering experience.</li> <li style="margin:0 0 6px;">Strong proficiency in Python and Linux environments (bash scripting).</li> <li style="margin:0 0 6px;">Experience with GCP and Infrastructure-as-Code (Terraform preferred).</li> <li style="margin:0 0 6px;">Hands-on experience with Docker and cloud-native development.</li> <li style="margin:0 0 6px;">Exposure to large-scale data pipelines or web crawling systems (preferred).</li> <li style="margin:0 0 6px;">Strong problem-solving and system design skills.</li> <li style="margin:0 0 6px;">Excellent communication and cross-functional collaboration abilities.</li> <li style="margin:0 0 6px;">Degree in Computer Science or related technical field (BS/MS/PhD).</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Environment and Collaboration</h3> <p style="margin:0 0 12px; ************;">This role operates within a fully distributed environment. The engineer will work closely with AI scientists and engineering teams, requiring strong communication and collaboration skills to ensure effective teamwork and project success. The work is deeply technical and fast-moving, emphasizing strong ownership and autonomy.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>As a Threat Detection Engineer at COGNNA, you’ll design high-impact detection strategies, build powerful automation, and elevate SOC operations to a world-class standard.<br> You’ll also mentor rising cyber talent and collaborate with teams across threat intel, incident response, and platform engineering.<br> 🔐 Advanced Threat Detection Engineering Build high-fidelity correlation rules and behavioral detections within the COGNNA security platforms.<br> Translate adversary TTPs (MITRE ATT&amp;CK), threat intel, and vulnerability data into actionable logic.<br> Identify detection gaps and introduce new data sources to cover evolving threat landscapes.<br> Automate detection testing and maintain detection quality over time.<br> ⚙️ Platform Engineering &amp; Optimization Lead architecture and optimization of XDR, SIEM, and SOC tech stacks for scale and resilience.<br> Streamline log ingestion pipelines — from parsing to normalization and enrichment.<br> Build scripts and automations (Python, PowerShell) to enhance SOC efficiency.<br> Integrate tools across the SOC stack to enable seamless workflows and response.<br> 🕵️‍♂️ Threat Hunting &amp; Incident Response Collaborate with intel and IR teams to enrich detection use cases and support threat hunts.<br> Provide Tier-3+ support for incident investigations and post-mortem analysis.<br> 👥 Mentorship &amp; SOC Maturity Improve SOC playbooks, SOPs, and detection engineering workflows.<br> Stay updated on global and regional threats — and evolve detection accordingly.<br> Ensure compliance alignment (e.<br>g., NCA ECC, SAMA CSF).<br> 🚀 Impact that Matters – Build products that shape the future of cybersecurity and protect organizations globally.<br> 🏢 On-Site Collaboration – Be at the heart of innovation in our Riyadh office, working side by side with passionate experts.<br> 💡 Continuous Growth – Access to certifications, trainings, and opportunities to sharpen your expertise.<br> 📈 Ownership Mindset – Benefit from our ESOP program and grow with COGNNA’s success.<br> 🤝 Culture of Trust – We empower talent, encourage ownership, and celebrate real outcomes.<br> 🎓 Education Bachelor’s in Computer Science, Cybersecurity, or related field.<br> 💼 Experience Hands-on expertise in developing and maintaining complex detection use cases.<br> Strong understanding of attacker behavior, IR fundamentals, and digital forensics.<br> 🔧 Technical Skills (You’re a Power User!<br>) SIEM: Expert in SIEM queries (SPL, KQL, Lucene), rule tuning, UEBA, and scaling.<br> EDR: Deep knowledge of EDR tools and endpoint detection tactics.<br> Network Security: Pro at packet analysis (Wireshark), IDS/IPS, and NetFlow.<br> Scripting: Advanced skills in Python and/or PowerShell for automation and integration.<br> OS Internals: Mastery of Windows/Linux/macOS logging, artifacts, and forensic value.<br> Threat Intelligence: Skilled in turning threat intel into real-time detection logic.<br> Cloud Security: Strong command of monitoring IaaS/PaaS/SaaS environments.<br> 🏅 Certifications (Highly Preferred) 🎓 SANS GIAC (GDAT, GMON, GCIA, GCTI, GCIH) 🐉 Offsec (OSDA) 🏫 INE (eCTHP, eCIR) 🧩 (ISC)² CISSP, CSSLP 🤝 Soft Skills Exceptional analytical thinking and creative problem-solving.<br> Excellent communication (English &amp; Arabic), including technical reporting.<br> Strong mentorship abilities and a collaborative spirit.<br> Self-motivated, focused, and passionate about cyber defense.<br> Capable of juggling priorities under high-pressure situations.<br></span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Role</h3> <p style="margin:0 0 12px; ************;">This position is listed on behalf of a partner company. The role is for a highly technical and research-driven Security Researcher specializing in Bot Detection Adversarial Research, based in Saudi Arabia. This position focuses on analyzing, simulating, and countering advanced bot detection and anti-automation systems at scale. The role involves reverse engineering protection mechanisms and developing solutions to ensure reliable access to public web data, combining protocol expertise, offensive security thinking, and systems-level engineering for large-scale data collection infrastructure.</p> <p style="margin:0 0 12px; ************;">The researcher will contribute to building and optimizing HTTP clients, exploring emerging anti-bot technologies, and identifying patterns impacting collection performance. The role offers significant autonomy to shape research direction and technical approaches within a fast-evolving security environment, appealing to individuals who thrive on complex adversarial challenges and web security research.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Conduct advanced research on anti-bot systems, web protection technologies, and mechanisms that block large-scale data collection.</li> <li style="margin:0 0 6px;">Design, build, and improve HTTP client infrastructure for reliable and efficient web data acquisition at scale.</li> <li style="margin:0 0 6px;">Reverse engineer adversarial systems, including fingerprinting techniques and bot mitigation strategies, to identify weaknesses and bypass mechanisms.</li> <li style="margin:0 0 6px;">Monitor emerging web standards, protocols, and security technologies impacting data collection capabilities.</li> <li style="margin:0 0 6px;">Develop and refine methods for simulating real-world adversaries against anti-bot systems to evaluate system resilience.</li> <li style="margin:0 0 6px;">Contribute to the evolution of large-scale data collection platforms through research-driven engineering improvements.</li> <li style="margin:0 0 6px;">Collaborate with engineering and research teams to translate findings into production-ready solutions.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Qualifications and Requirements</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">A minimum of 5 years of experience in R&amp;D, security research, software engineering, or testing roles within complex technical environments.</li> <li style="margin:0 0 6px;">A strong understanding of HTTP and TLS protocols and their practical application and manipulation in real-world systems.</li> <li style="margin:0 0 6px;">Demonstrated experience in at least two of the following areas: programming in JavaScript, TypeScript, Python, or C++; penetration testing or offensive security (*, OSCP, OSEP); web or mobile security research; reverse engineering (including JS deobfuscation or binary analysis); malware analysis; or anti-bot/WAF/DDoS system development.</li> <li style="margin:0 0 6px;">Hands-on experience with reverse engineering techniques and adversarial system analysis.</li> <li style="margin:0 0 6px;">Familiarity with anti-bot technologies, web security tools, or large-scale protection systems is considered a strong advantage.</li> <li style="margin:0 0 6px;">A strong analytical mindset with the proven ability to dissect complex systems and identify vulnerabilities.</li> <li style="margin:0 0 6px;">Fluent English communication skills, both written and verbal.</li> <li style="margin:0 0 6px;">Experience working in web security or anti-bot-focused environments is highly desirable.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Skills</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;"><strong>Programming Languages:</strong> JavaScript, TypeScript, Python, C++</li> <li style="margin:0 0 6px;"><strong>Security Expertise:</strong> Penetration Testing, Offensive Security, Web Security Research, Mobile Security Research, Reverse Engineering, JS Deobfuscation, Binary Analysis, Malware Analysis, Anti-bot System Development, WAF Development, DDoS System Development</li> <li style="margin:0 0 6px;"><strong>Protocols:</strong> HTTP, TLS</li> <li style="margin:0 0 6px;"><strong>General Skills:</strong> Analytical Mindset, Communication</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Environment and Application</h3> <p style="margin:0 0 12px; ************;">This is a full-time, remote position. The role is based in Saudi Arabia. Applications are managed by Jobgether's AI-powered matching process. Shortlisted candidates are shared directly with the hiring company for final decisions, interviews, and assessments.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>Design, construct, and maintain highly scalable and robust ETL/ELT data pipelines from the ground up.</p></li><li><p>Extract and harmonize complex data structures from Microsoft Dynamics and SQL Server into a centralized, analytics-ready single source of truth.</p></li><li><p>Implement rigorous data quality checks, cleansing processes, and automated alerting to ensure AI models are fed with trusted, validated, and high-quality data.</p></li><li><p>Work side-by-side with AI Product Managers, ML Engineers, and Business Analysts to transform raw data into actionable fuel for predictive models such as dynamic pricing engines and AI solutions.</p></li><li><p>Champion data governance, ensuring all data infrastructure complies with privacy regulations and security best practices.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Advanced proficiency in SQL and Python data manipulation and pipeline development.</li><li>Deep expertise in the Microsoft data ecosystem, specifically Azure Synapse Analytics, Azure Data Factory (ADF), and SQL Server.</li><li>Strong expertise in building and orchestrating data pipelines using tools like Apache Airflow, dbt, or similar technologies.</li><li>Experience with big data processing frameworks such as Apache Spark and Kafka.</li><li>Problem-solving mindset with a relentless focus on performance optimization and system reliability (Uptime &amp; Low Latency).</li><li>Previous experience working with retail, e-commerce, or supply chain data.</li><li>Previous experience extracting and transforming data from Microsoft Dynamics using Azure Synapse Link or custom API connectors.</li><li>Familiarity with Machine Learning lifecycles and MLOps tools.</li><li>Knowledge of regional data privacy frameworks (e.g., PDPL).</li><li>Must be open to relocation to Jeddah, Saudi Arabia.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>We are looking for an experienced Odoo Developer to design, customize, and implement Odoo ERP modules tailored to our business operational needs. In this role, you will be responsible for developing seamless system integrations, maintaining database structures, and optimizing software performance to support efficient enterprise workflows.</p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><b>Technical Skills:</b></p><ul><li>Proficiency in Python and solid understanding of Object-Oriented Programming (OOP).</li><li>Hands-on experience with the Odoo framework (models, views, security rules, workflows, and ORM).</li><li>Strong command of PostgreSQL and complex SQL queries.</li><li>Practical knowledge of JavaScript, XML, HTML5, and CSS3.</li><li>Proven experience with API development (XML-RPC, JSON-RPC, REST APIs).</li><li>Familiarity with Git and version control workflows.</li></ul><p><b>Soft Skills:</b></p><ul><li>Strong problem-solving and analytical skills.</li><li>Ability to translate business requirements into functional technical solutions.</li><li>Excellent cross-departmental communication and teamwork skills.</li></ul><p><br></p></div>

Company Description jxtechstudio is a technology-focused studio dedicated to building modern, reliable software solutions. The team works on web and backend systems, emphasizing clean architecture, performance, and maintainability. As a remote-first organization, jxtechstudio values flexible collaboration and clear communication. The studio offers an environment where emerging talent can learn from practical projects and contribute to real-world applications. Interns are encouraged to explore new tools and technologies while developing professional engineering skills.<br>Role Description This remote Software Engineer Internship role involves working with the engineering team to design, develop, and test software features and services. Interns will assist in implementing backend functionality, writing clean and efficient code, and debugging issues across the stack. Day-to-day tasks may include collaborating on technical specifications, reviewing code, writing unit tests, and documenting implemented solutions. Interns will also participate in standups or check-ins, learn best practices in software engineering, and contribute to improving existing systems and workflows. This is an internship position intended to provide hands-on experience and mentorship in a professional engineering environment.<br>Qualifications<br> Strong foundation in Computer Science concepts such as data structures, algorithms, and basic software design. Skills in Software Development and Programming, with experience in at least one modern programming language (e.g., Java, Python, Java Script, C#, or similar). Understanding of Back-End Web Development principles, including APIs, databases, and server-side frameworks. Knowledge of Object-Oriented Programming (OOP) and ability to apply OOP principles in practical coding tasks. Currently pursuing or recently completed a degree or coursework in Computer Science, Software Engineering, or a related field. Ability to work independently in a remote setting, communicate clearly, and collaborate with a distributed team. Familiarity with version control systems (e.g., Git) and basic software testing practices is beneficial. Interest in learning new technologies, attention to detail, and a commitment to writing maintainable, well-documented code.

Key Responsibilities - Lead and perform end-to-end Digital Forensics and Incident Response (DFIR) engagements independently, including incident triage, containment, eradication, recovery, and post-incident reporting.- Conduct host, memory, network, cloud, and log-based forensic investigations to determine attack scope, root cause, attacker activities, and business impact.- Perform advanced threat hunting across enterprise environments using SIEM, EDR, forensic artifacts, and threat intelligence to proactively identify malicious activity.- Develop, maintain, and automate DFIR workflows, forensic tooling, and investigation pipelines using Python, Power Shell, Bash, and other scripting languages.- Build and maintain internal DFIR tools, forensic parsers, automation frameworks, and investigation infrastructure.- Collaborate with SOC, Detection Engineering, Threat Intelligence, Red Team, and IT teams to improve incident response capabilities and security posture.- Conduct incident response readiness and maturity assessments, identifying gaps in people, processes, and technology, and provide actionable recommendations.- Produce high-quality technical and executive reports, clearly communicating investigation findings, attack timelines, root cause analysis, and remediation recommendations in both English and Arabic.- Mentor and train team members on digital forensics, incident response methodologies, malware analysis, forensic artifacts, and investigation best practices. Required Skills - Extensive hands-on experience conducting Digital Forensics and Incident Response investigations across Windows, Linux, cloud, and enterprise environments.- Strong experience with endpoint, memory, network, and log analysis using industry-standard forensic and DFIR tools.- Proficiency in Windows and Linux operating system internals, file systems, registry analysis, event logs, persistence mechanisms, authentication, and process analysis.- Experience with EDR platforms, SIEM technologies, and threat hunting methodologies.- Strong scripting and automation skills using Python, Power Shell, and Bash.- Experience developing custom forensic tools, parsers, or automation to improve investigation efficiency.- Strong understanding of malware behavior, attacker techniques, and post-exploitation activities.- Experience with Git for version control, collaboration, and maintaining DFIR tools, scripts, and documentation.- Ability to perform comprehensive incident investigations, root cause analysis, and security maturity assessments.- Excellent analytical, problem-solving, and investigative skills.- Excellent bilingual communication and writing skills in English and Arabic. Required Qualifications - Minimum of 6–8 years of hands-on experience in Digital Forensics and Incident Response.- Demonstrated experience leading complex incident response engagements from initial detection through remediation and lessons learned.- Strong experience with enterprise forensic and DFIR tools (e.g., Velociraptor, KAPE, Plaso, Hayabusa, Volatility, Timesketch, FTK, EnCase, X-Ways, Magnet AXIOM, Autopsy, or similar).- Experience with EDR platforms such as Microsoft Defender for Endpoint, Crowd Strike Falcon, Sentinel One, Cortex XDR, or similar.- Strong understanding of Windows, Linux, Active Directory, networking, cloud security, and enterprise attack techniques.- Strong understanding of MITRE ATT&CK, Cyber Kill Chain, and modern attacker tradecraft.- Strong programming experience in at least one language.- Experience with Power Shell and Bash scripting for automation and forensic collection.- Comfortable using Git for version control, collaboration, and maintaining DFIR tools, scripts, and documentation.- Strong communication skills and the ability to work collaboratively in a consulting environment.- Excellent English written and verbal communication skills.- Excellent Arabic written and verbal communication skills. Preferred Qualifications - Experience performing cloud incident response across AWS, Azure, or Google Cloud Platform.- Experience with enterprise log analysis platforms such as Elasticsearch, Splunk, Microsoft Sentinel, or QRadar.- Experience with threat hunting and threat intelligence integration into DFIR investigations.- Experience performing malware analysis, reverse engineering, or memory forensics.- Experience building DFIR automation pipelines and forensic orchestration platforms.- Prior cybersecurity consulting background.- Prior offensive security, penetration testing, or purple team experience.- Active Git Hub account demonstrating DFIR tools, automation projects, or forensic research.- Demonstrated home lab or enterprise DFIR lab experience for testing investigations, malware, and attack simulations.- Relevant certifications such as GCFA, GCFE, GREM, GCIH, GNFA, GCFR, or equivalent industry-recognized DFIR certifications.

<p>Discover the Opportunity We're looking for a Staff AI Software Engineer who is equally passionate about building software and elevating engineering standards. This is a 50% hands-on coding and 50% technical leadership role, where you'll work closely with the engineering team to define best practices, improve development workflows, and help shape sprint planning and technical execution.</p><p>Discover the Responsibilities</p><ul><li>Hands on: Design, build, and scale modern full-stack applications with a focus on performance, scalability, and reliability.</li><li>Provide technical leadership by mentoring engineers, conducting code reviews, and championing engineering best practices.</li><li>Define coding standards, software architecture, and development processes that improve quality and consistency across the engineering team.</li><li>Partner with Product Managers and Engineering Leadership to shape sprint planning, break down technical initiatives, estimate work, and improve delivery.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>8+ years of experience in software engineering, with experience operating at Staff, Principal, or Technical Lead level.</li><li>Strong commercial experience with Java and the Spring ecosystem (Spring Boot, Spring Cloud, Spring MVC).</li><li>Strong full-stack development experience using React, Next.js, TypeScript, and modern frontend technologies.</li><li>Experience designing and building distributed, microservices-based architectures.</li><li>Experience building and consuming REST APIs and event-driven systems.</li><li>Experience working with PostgreSQL and/or MongoDB.</li><li>Experience with Docker, containerisation, Git, CI/CD pipelines, and cloud-native development.</li><li>Strong understanding of software architecture, design patterns, scalability, and system performance.</li><li>Experience mentoring engineers and influencing technical direction across multiple teams.</li><li>Excellent communication and stakeholder management skills.</li><li>Experience building AI-native products or integrating LLMs into production systems.</li><li>Hands on experience with RAG, AI agents, vector databases, LangChain, LangGraph, MCP, or similar AI frameworks.</li><li>Experience with Python and FastAPI for AI services.</li><li>Experience working in high-growth startups or scaling technology businesses.</li><li>Exposure to cloud platforms such as AWS, Azure, or Google Cloud.</li><li>Experience working with AI coding assistants such as Claude, Codex, Cursor, or GitHub Copilot.</li><li>Comfortable working in a fast paced startup environment with a high degree of ownership.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job description <p><br><b>Discover the Opportunity</b></p><br><p>We're looking for a Staff AI Software Engineer who is equally passionate about building software and elevating engineering standards. This is a 50% hands-on coding and 50% technical leadership role, where you'll work closely with the engineering team to define best practices, improve development workflows, and help shape sprint planning and technical execution.</p><br><p>​</p><br><p><b>Discover the Responsibilities</b></p><br><ul><li><p>Hands on: Design, build, and scale modern full-stack applications with a focus on performance, scalability, and reliability.</p><br></li><li><p>Provide technical leadership by mentoring engineers, conducting code reviews, and championing engineering best practices.</p><br></li><li><p>Define coding standards, software architecture, and development processes that improve quality and consistency across the engineering team.</p><br></li><li><p>Partner with Product Managers and Engineering Leadership to shape sprint planning, break down technical initiatives, estimate work, and improve delivery.</p><br></li></ul><p>​</p><br><p><b>Discover the Requirements</b></p><br><ul><li><p>8+ years of experience in software engineering, with experience operating at Staff, Principal, or Technical Lead level.</p><br></li><li><p>Strong commercial experience with Java and the Spring ecosystem (Spring Boot, Spring Cloud, Spring MVC).</p><br></li><li><p>Strong full-stack development experience using React, Next.js, TypeScript, and modern frontend technologies.</p><br></li><li><p>Experience designing and building distributed, microservices-based architectures.</p><br></li><li><p>Experience building and consuming REST APIs and event-driven systems.</p><br></li><li><p>Experience working with PostgreSQL and/or MongoDB.</p><br></li><li><p>Experience with Docker, containerisation, Git, CI/CD pipelines, and cloud-native development.</p><br></li><li><p>Strong understanding of software architecture, design patterns, scalability, and system performance.</p><br></li><li><p>Experience mentoring engineers and influencing technical direction across multiple teams.</p><br></li><li><p>Excellent communication and stakeholder management skills.</p><br></li><li><p>Experience building AI-native products or integrating LLMs into production systems.</p><br></li><li><p>Hands on experience with RAG, AI agents, vector databases, LangChain, LangGraph, MCP, or similar AI frameworks.</p><br></li><li><p>Experience with Python and FastAPI for AI services.</p><br></li><li><p>Experience working in high-growth startups or scaling technology businesses.</p><br></li><li><p>Exposure to cloud platforms such as AWS, Azure, or Google Cloud.</p><br></li><li><p>Experience working with AI coding assistants such as Claude, Codex, Cursor, or GitHub Copilot.</p><br></li><li><p>Comfortable working in a fast paced startup environment with a high degree of ownership.​</p><br></li></ul><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Purpose: The Principle Lead Engineer provides visionary, and guidance on security telemetry collection strategy, data engineering, and MDR service evolution. Acting as a senior subject matter expert, the Advisor shapes client security architectures, and mentors team members and handle clients escalation. Supervise projects and ensure optimization is considered to provide efficient MDR service. Core Responsibilities: Strategic Thought Leadership Define the long term vision for log data acquisition, normalization, and analytics across all service lines. Publish whitepapers, best practice guides, and thought leadership content for internal and external audiences. Enterprise Architecture &amp; Governance Architect enterprise scale telemetry frameworks that span on premise, cloud, and OT environments. Advisory &amp; Client Engagement Serve as the senior technical advisor for strategic customers, presenting roadmap recommendations and risk assessments. Conduct executive level workshops and security posture reviews for tiering, identifying clients risks and delivering actionable recommendations. Evaluate and recommend emerging technologies (e.g., graph analytics, zero trust telemetry). Performance &amp; Quality Excellence Define KPIs for ingestion latency, data fidelity, and detection efficacy. Champion the implementation of automated quality gates and continuous improvement loops. Handle and train the team members for complex MDR integration tasks. Define operation standards, plans, guidelines and ensure team is in compliance with the defined procedure. Automate and optimize onboarding tasks</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Qualifications:</h2><ul><li>Bachelor s degree in Computer Science, Cybersecurity, Information Systems, or a related field</li><li>8+ years of experience with SIEM platforms, log engineering, and security operations.</li><li>Deep knowledge of SIEM architectures (e.g., Splunk, QRadar, Elastic, Azure Sentinel).</li><li>Mastery of log formats, protocols, and data models (CEF, JSON, Syslog, OpenTelemetry).</li><li>Advanced scripting/programming (Python, PowerShell, Bash, Go) and automation tools (Ansible, Terraform, Jenkins).</li><li>Experience with containerization (Docker/Kubernetes) and cloud platforms (AWS, Azure, GCP).</li><li>Strong analytical, troubleshooting, and communication skills</li><li>Ability to manage priorities and work cross-functionally in a fast-paced environment</li><li>CISSP, CISM, or equivalent.</li><li>Vendor-specific SIEM certifications (e.g., Splunk Certified Architect).</li><li>Cloud security certifications (CCSP, AWS Security Specialty)</li></ul><p></p></section>

Job Summary We are seeking an experienced PKI & Digital Signing Engineer to design, implement, administer, and support the organization's Public Key Infrastructure (PKI) and digital signing platforms. The successful candidate will be responsible for managing enterprise certificate services, digital signature solutions, and cryptographic infrastructure while ensuring security, compliance, and high availability across both Windows and Linux environments. This role requires hands-on expertise with Signing Hub, ADSS Server, and Entrust Certificate Authority, along with a strong understanding of enterprise PKI architecture, certificate lifecycle management, and secure authentication technologies. Key Responsibilities PKI Architecture & Administration Design, implement, and maintain enterprise Public Key Infrastructure (PKI) solutions. Administer Certificate Authority (CA) infrastructure and certificate lifecycle processes, including issuance, renewal, revocation, and auditing. Configure, maintain, and troubleshoot PKI services across Windows Server and Linux platforms. Ensure high availability, disaster recovery, and resilience of PKI environments. Manage OCSP responders, CRLs, certificate templates, and enrollment services. Digital Signing Platforms Deploy, configure, administer, and maintain Signing Hub. Implement and manage ADSS Server for digital signatures, timestamping, signature validation, and verification services. Administer and support Entrust Certificate Authority infrastructure and related PKI services. Integrate digital signing platforms with enterprise applications, identity management systems, and document management workflows. Support digital signature standards including PAdES, XAdES, CAdES, and e IDAS where applicable. Security & Compliance Monitor, secure, and harden PKI and digital signing infrastructure against vulnerabilities and cyber threats. Conduct security assessments, audits, and compliance reviews of certificate services. Maintain documentation for PKI architecture, operational procedures, and security controls. Ensure compliance with organizational security policies and regulatory requirements. System Administration Install, configure, patch, and maintain Windows Server and Linux systems supporting PKI and digital signing services. Implement monitoring, backup, disaster recovery, and capacity planning for PKI infrastructure. Automate operational and administrative tasks using Power Shell, Bash, or other scripting languages. Integration & Support Provide technical expertise to development, infrastructure, and security teams for PKI-related projects. Troubleshoot complex certificate, authentication, encryption, and digital signing issues. Support integrations involving TLS/SSL, APIs, identity platforms, and enterprise applications. Produce technical documentation, operational runbooks, and knowledge base articles. Required Qualifications Bachelor's degree in Computer Science, Cybersecurity, Information Technology, or a related field (or equivalent practical experience). Proven experience designing, implementing, and administering enterprise PKI environments. Strong administration experience with:Windows Server Linux Hands-on experience with:Signing Hub ADSS Server Entrust Certificate Authority Strong knowledge of:Public Key Infrastructure (PKI) Digital certificates and Certificate Authorities TLS/SSLOCSP and CRLsHardware Security Modules (HSMs) Cryptographic concepts and best practices Experience integrating PKI and digital signing solutions with enterprise applications and identity platforms. Experience with automation using Power Shell, Bash, or Python. Preferred Qualifications Experience with Microsoft Active Directory Certificate Services (AD CS). Knowledge of Microsoft Entra ID (Azure AD), Active Directory, LDAP, and SSO technologies. Experience with cloud-based PKI services (Azure, AWS, or OCI). Familiarity with REST APIs and enterprise application integration. Experience working in regulated industries such as finance, healthcare, or government. Relevant certifications such as:Entrust PKI Certifications Microsoft Certified: Windows Server Comp TIA Security+CISSPCertified Information Security Manager (CISM) Technical Skills Enterprise PKI Design & Administration Signing Hub Administration ADSS Server Administration Entrust Certificate Authority Certificate Lifecycle Management TLS/SSL, OCSP, CRLHardware Security Modules (HSM) Windows Server Administration Linux Administration Power Shell, Bash, Python Active Directory & LDAPDigital Signature Standards (PAdES, XAdES, CAdES, e IDAS) Security Hardening & Compliance Backup, Monitoring & Disaster Recovery Soft Skills Strong analytical and troubleshooting abilities. Excellent communication and documentation skills. Ability to work independently and collaboratively across technical teams. Strong attention to detail and commitment to security best practices. Effective time management and problem-solving skills.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Overview We are seeking an experienced and dynamic Manager Transport Advisory and Planning to lead and deliver transport planning, mobility strategy, and advisory projects. The role involves managing multidisciplinary teams, overseeing transport modelling and analysis, and providing strategic insights to clients across public and private sectors. The ideal candidate will bring strong technical expertise, leadership skills, and consulting experience in transport planning.</p><p>Your role</p><ul><li>Lead transport advisory and planning projects from inception to delivery</li><li>Develop and review transport strategies, mobility plans, and policy frameworks</li><li>Oversee transport modelling activities, including network development, demand forecasting, and scenario analysis</li><li>Guide GIS-based spatial analysis and data-driven transport planning solutions</li><li>Manage data collection, validation, and analysis for traffic and mobility studies</li><li>Provide technical expertise in urban mobility, traffic engineering, and multi-modal transport systems</li><li>Prepare and review technical reports, proposals, and client presentations</li><li>Engage with clients, stakeholders, and government authorities to support project objectives</li><li>Mentor and manage junior staff, interns, and consultants</li><li>Support business development through proposal writing, bid management, and client acquisition</li><li>Ensure project delivery within timelines, budget, and quality standards</li></ul><p>Rewards &amp; benefits</p><p>Explore the rewards and benefits that help you thrive at every stage of your life and your career. This includes:</p><ul><li>Tax-free salary.</li><li>Life insurance coverage.</li><li>Medical insurance.</li><li>Annual leave balance.</li><li>Company gratuity scheme.</li><li>Discretionary bonus program.</li><li>Annual flight contribution.</li><li>Transportation &amp; housing allowances.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor s or Master s degree in Civil Engineering, Transport Planning, Urban Planning, or related field</li><li>5 8+ years of relevant experience in transport planning or consultancy</li><li>Strong expertise in transport planning principles, traffic engineering, and mobility systems</li><li>Experience in transport modelling tools (VISUM, Vissim, Aimsun, or equivalent)</li><li>Proficiency in GIS tools (ArcGIS/QGIS)</li><li>Strong analytical, problem-solving, and critical thinking skills</li><li>Preferred Experience in large-scale urban mobility or infrastructure projects</li><li>Knowledge of sustainable transport and smart city initiatives</li><li>Familiarity with programming languages (Python, R, Matlab) for data analysis</li><li>Experience working with public sector clients or international projects</li></ul><p></p></section>

Key Responsibilities - Lead and perform end-to-end Digital Forensics and Incident Response (DFIR) engagements independently, including incident triage, containment, eradication, recovery, and post-incident reporting.- Conduct host, memory, network, cloud, and log-based forensic investigations to determine attack scope, root cause, attacker activities, and business impact.- Perform advanced threat hunting across enterprise environments using SIEM, EDR, forensic artifacts, and threat intelligence to proactively identify malicious activity.- Develop, maintain, and automate DFIR workflows, forensic tooling, and investigation pipelines using Python, Power Shell, Bash, and other scripting languages.- Build and maintain internal DFIR tools, forensic parsers, automation frameworks, and investigation infrastructure.- Collaborate with SOC, Detection Engineering, Threat Intelligence, Red Team, and IT teams to improve incident response capabilities and security posture.- Conduct incident response readiness and maturity assessments, identifying gaps in people, processes, and technology, and provide actionable recommendations.- Produce high-quality technical and executive reports, clearly communicating investigation findings, attack timelines, root cause analysis, and remediation recommendations in both English and Arabic.- Mentor and train team members on digital forensics, incident response methodologies, malware analysis, forensic artifacts, and investigation best practices. Required Skills - Extensive hands-on experience conducting Digital Forensics and Incident Response investigations across Windows, Linux, cloud, and enterprise environments.- Strong experience with endpoint, memory, network, and log analysis using industry-standard forensic and DFIR tools.- Proficiency in Windows and Linux operating system internals, file systems, registry analysis, event logs, persistence mechanisms, authentication, and process analysis.- Experience with EDR platforms, SIEM technologies, and threat hunting methodologies.- Strong scripting and automation skills using Python, Power Shell, and Bash.- Experience developing custom forensic tools, parsers, or automation to improve investigation efficiency.- Strong understanding of malware behavior, attacker techniques, and post-exploitation activities.- Experience with Git for version control, collaboration, and maintaining DFIR tools, scripts, and documentation.- Ability to perform comprehensive incident investigations, root cause analysis, and security maturity assessments.- Excellent analytical, problem-solving, and investigative skills.- Excellent bilingual communication and writing skills in English and Arabic. Required Qualifications - Minimum of 6–8 years of hands-on experience in Digital Forensics and Incident Response.- Demonstrated experience leading complex incident response engagements from initial detection through remediation and lessons learned.- Strong experience with enterprise forensic and DFIR tools (e.g., Velociraptor, KAPE, Plaso, Hayabusa, Volatility, Timesketch, FTK, EnCase, X-Ways, Magnet AXIOM, Autopsy, or similar).- Experience with EDR platforms such as Microsoft Defender for Endpoint, Crowd Strike Falcon, Sentinel One, Cortex XDR, or similar.- Strong understanding of Windows, Linux, Active Directory, networking, cloud security, and enterprise attack techniques.- Strong understanding of MITRE ATT&CK, Cyber Kill Chain, and modern attacker tradecraft.- Strong programming experience in at least one language.- Experience with Power Shell and Bash scripting for automation and forensic collection.- Comfortable using Git for version control, collaboration, and maintaining DFIR tools, scripts, and documentation.- Strong communication skills and the ability to work collaboratively in a consulting environment.- Excellent English written and verbal communication skills.- Excellent Arabic written and verbal communication skills. Preferred Qualifications - Experience performing cloud incident response across AWS, Azure, or Google Cloud Platform.- Experience with enterprise log analysis platforms such as Elasticsearch, Splunk, Microsoft Sentinel, or QRadar.- Experience with threat hunting and threat intelligence integration into DFIR investigations.- Experience performing malware analysis, reverse engineering, or memory forensics.- Experience building DFIR automation pipelines and forensic orchestration platforms.- Prior cybersecurity consulting background.- Prior offensive security, penetration testing, or purple team experience.- Active Git Hub account demonstrating DFIR tools, automation projects, or forensic research.- Demonstrated home lab or enterprise DFIR lab experience for testing investigations, malware, and attack simulations.- Relevant certifications such as GCFA, GCFE, GREM, GCIH, GNFA, GCFR, or equivalent industry-recognized DFIR certifications.

At Mirai, a Scopely Studio, we're passionate about creating engaging gaming experiences that delight millions of players worldwide. We're looking for an experienced QA Automation Lead to help elevate quality across our games and platforms by driving automation excellence, mentoring quality engineers, and implementing modern quality engineering practices.<br><br>About The Role<br><br>This is a hands-on leadership role for a highly technical quality professional. Working closely with the QA Manager, you will ensure the highest quality standards across multiple projects by building automation frameworks from the ground up, solving complex testing challenges, and empowering teams through coaching and mentorship.<br><br>What You Will Do<br><br>Architect & Build: Lead the design, development, and maintenance of scalable automation frameworks for web, mobile, and backend services supporting our gaming ecosystem End-to-End Testing: Develop automated tests for functional, integration, regression, API, and end-to-end testing while analysing results to identify root causes Pipeline Integration: Integrate automated testing into CI/CD pipelines to support continuous delivery practices Cross-Functional Collaboration: Collaborate with game teams and internal/external QA teams to ensure quality is embedded throughout the development lifecycle Mentorship & Training: Provide technical leadership to the Quality Engineering team, mentoring junior and senior engineers to grow their automation and programming expertise Code Excellence: Conduct code reviews and lead training sessions on quality engineering best practices to promote high standards for maintainability and scalability5+ years of experience in software quality assurance with a strong focus on automation Strong hands-on experience with Playwright, Selenium Web Driver, Appium, and Python/Java Strong experience in using version control tools like Git Hub Proven experience designing and building automation frameworks from scratch Experience testing mobile applications and web platforms, alongside strong software engineering fundamentals and API testing expertise Understanding of Agile development methodologies and excellent problem-solving, communication, and collaboration skills Knowledge of AI-assisted testing tools and how generative AI can improve test creation, maintenance, analysis, and productivity A strong passion for exploring emerging technologies that enhance software quality<br><br>Bonus Points (Nice to Have)<br><br>Experience testing mobile games, gaming platforms, or live-service products Familiarity with cloud testing platforms such as Browser Stack, Sauce Labs, Lambda Test, or AWS Farm Experience with performance, reliability, or scalability testing ISTQB Automation or relevant quality certifications<br><br>Requirements<br><br>Bachelor's Degree5+ years of experience in software quality assurance with a strong focus on automation Strong hands-on experience with Playwright, Selenium Web Driver, Appium, and Python/Java Strong experience in using version control tools like Git Hub Proven experience designing and building automation frameworks from scratch Experience testing mobile applications and web platforms, alongside strong software engineering fundamentals and API testing expertise Understanding of Agile development methodologies and excellent problem-solving, communication, and collaboration skills Knowledge of AI-assisted testing tools and how generative AI can improve test creation, maintenance, analysis, and productivity A strong passion for exploring emerging technologies that enhance software quality<br><br>Bonus Points (Nice to Have)<br><br>Experience testing mobile games, gaming platforms, or live-service products Familiarity with cloud testing platforms such as Browser Stack, Sauce Labs, Lambda Test, or AWS Farm Experience with performance, reliability, or scalability testing ISTQB Automation or relevant quality certifications<br><br>How You Will Measure Success<br><br>30 Days: Map out the existing technical architecture and build strong relationships with cross-functional game teams and external QA partners90 Days: Design or upgrade our core web automation framework and establish a structured code-review process for the QE team6 Months: Achieve a measurable reduction in manual regression cycle times and increase automated test coverage across critical paths<br><br>Ready to level up your career? Apply now and help us build the future of play!

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>We are looking for a Sales Engineer based in Riyadh who thrives in Pre-Sales and sales support, helping drive customer adoption and successfully close opportunities. </p><p><b>NOTE : Fluency in both Arabic and English is essential for this role.</b></p><p><br></p><p>Your Impact in Pre-Sales &amp; Sales Support </p><p>• Strategic Opportunity Qualification – Collaborate with account executives to assess prospects, understand business challenges, and identify high-potential opportunities for Client solutions. </p><p>• Engagement &amp; Relationship Building – Build trusted relationships with technical stakeholders and decision-makers to position Client as the preferred security provider.</p><p> • Value-Based Selling &amp; Competitive Positioning – Communicate the unique advantages of Client's offerings through compelling narratives that address customer pain points and demonstrate ROI. </p><p>• Product Demonstrations &amp; Proof-of-Concepts – Deliver tailored technical presentations, live demos, and hands-on proof-of-concept sessions to showcase solution fit. </p><p>• Technical Objection Handling – Address concerns proactively, validate technical feasibility, and offer alternative solutions that reinforce our value proposition. </p><p>• Proposal &amp; Solution Development – Work with internal teams to develop technical proposals, architecture recommendations, and security strategies aligned with customer needs. </p><p>• Pilot Programs &amp; Evaluation Support – Guide customers through trials and proof-of-concept initiatives to ensure they experience the full value of our technology. </p><p>• Sales Enablement &amp; Deal Acceleration – Provide pre-sales insights that drive urgency, reinforce technical fit, and accelerate deal closure. </p><p>• Thought Leadership &amp; Industry Engagement – Represent Client at conferences, webinars, and community forums, showcasing expertise in application security.&nbsp;&nbsp;</p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p>What You Bring to the Role </p><p>• Proven experience in Pre-Sales, Sales Engineering, or Technical Consulting </p><p>• Strong background in software development (e.g., C/C++, Java, Python, C#, JavaScript, etc.) </p><p>• Solid understanding of software security tools and methodologies (certifications like CEH, CISSP, or CSSLP are a plus) </p><p>• Excellent communication and presentation skills in English - Arabic would be plus </p><p>• Customer-focused, results-driven, and passionate about solving security challenges </p><p>• Willingness to travel occasionally within Saudi Arabia and the Middle East</p></div>

Role – Senior Consultant Technology – React.js / Angular & . Net Location – Dammam, Saudi Arabia<br>Job Description Today, the corporate landscape is dynamic and the world ahead is full of possibilities! None of the amazing things we do at Infosys would be possible without an equally amazing culture, the environment where ideas can flourish and where you are empowered to move forward as far as your ideas will take you.<br>At Infosys, we assure that your career will never stand still, we will inspire you to build what’s next and we will navigate further together. Our journey of learnability, values and trusted relationships with our clients continue to be the cornerstones of our organization and these values are upheld only because of our people.<br>Key responsibilities Design and develop scalable full-stack web applications with a strong focus on modern frontend frameworks (React.js / Angular) and robust backend services. Build responsive, high-performance UI components using HTML5, CSS3, and advanced web development practices ensuring cross-device compatibility. Develop and integrate backend services and RESTful APIs using Python and microservices architecture. Integrate frontend applications with backend APIs, AI/Gen AI services, and vector databases hosted on Open Shift, cloud, or on-premise environments. Implement secure role-based access control (RBAC) and authorization aligned with enterprise standards. Collaborate closely with Data Scientists and Data Engineers to:Consume and operationalize Gen AI/ML outputs Build intuitive UI layers for insights, recommendations, and analytics Contribute to UI/UX design enhancements, ensuring seamless user journeys and usability improvements. Participate in application deployment, containerization, and hosting (Open Shift/Kubernetes), along with monitoring, performance tuning, and production support. Support UAT cycles, defect resolution, and continuous improvement of application features. Prepare and maintain technical documentation, including UI architecture, API contracts, deployment artifacts, and design specifications.<br>Required6+ years of experience as a Full Stack Developer in enterprise environments Strong hands-on expertise in:React.js and/or Angular frameworks. Net backend development HTML5, CSS3, Responsive Web Design Java Script / Type Script Web development fundamentals and UI engineering best practices Python-based backend development RESTful APIs, Microservices architecture Other preferred experience:Developing end-to-end full-stack solutions (frontend + backend integration) Deploying and hosting applications on Open Shift / Kubernetes / Cloud / On-Prem environments Experience integrating AI/Gen AI services (LLMs, inference APIs, chatbots) into enterprise applications Working knowledge of Dev Ops practices, CI/CD pipelines, and secure SDLC<br>Good to have Hands-on experience with SAP UI5 / Fiori development Exposure to enterprise integration patterns (SAP backend, APIs, middleware) Experience building AI-powered dashboards, chatbots, or decision-support systems Familiarity with containerization, orchestration, and cloud-native architectures Personal Besides the professional qualifications of the candidates, we place great importance in addition to various forms personality profile. These include:High analytical skills A high degree of initiative and flexibility High customer orientation High quality awareness Excellent verbal and written communication skills<br>About Infosys Infosys is a global leader in next-generation digital services and consulting. We enable clients in 56 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through the many next of their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise and ideas from our innovation ecosystem. Visit www.infosys.com to see how Infosys can help your enterprise navigate your next.<br>All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are seeking an Associate Data Scientist with 5+ years of experience in AI, Machine Learning, and cloud-based data science solutions to join Saudi Aramco in Dhahran .<br> The ideal candidate should have hands-on experience in developing and deploying AI/ML models, working with LLMs and Generative AI technologies, cloud platforms, containerization, and modern MLOps practices within enterprise environments Bachelor's degree in Computer Science or equivalent.<br> 5+ years of relevant experience.<br> Strong knowledge of Python and SQL.<br> Experience with Kubernetes, Docker, GCP or OpenShift.<br> Hands-on experience in Machine Learning, LLMs, Generative AI, and MLOps/LLMOps.<br> Experience with CI/CD tools (Git, Jenkins, ArgoCD).<br> Familiarity with Hugging Face, NVIDIA GPUs, NIMs, and distributed AI environments is highly preferred.<br> Excellent communication, collaboration, and project management skills.<br></span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

Job Overview We are seeking an experienced Network Consulting Engineer (NCE) specializing in VXLAN EVPN, AI Data Center Networking, and high-performance computing (HPC) environments. The successful candidate will be responsible for designing, implementing, and optimizing next-generation data center networks that support AI/ML workloads, GPU clusters, distributed computing, and hyperscale infrastructure. This role requires deep expertise in modern data center networking technologies, including VXLAN EVPN, BGP, RoCEv2, RDMA, Cisco Nexus, Arista EOS, and fabric-based architectures. The ideal candidate will have hands-on experience building highly available, low-latency networks optimized for AI training, inference, and large-scale compute environments. Key Responsibilities Design, deploy, and support VXLAN EVPN-based data center fabrics for AI, HPC, and cloud-scale environments. Architect and implement scalable spine-leaf network designs using platforms such as Cisco Nexus 9000, Cisco ACI, and Arista EOS. Configure and optimize Layer 2/Layer 3 segmentation, workload mobility, and network virtualization. Design and tune networks supporting GPU clusters, distributed AI training, and high-performance workloads. Optimize network performance for RoCEv2, RDMA, GPUDirect, and low-latency traffic flows. Implement and troubleshoot routing protocols including BGP, OSPF, IS-IS, and multicast. Deploy and manage data center fabric integrations with virtualization and container platforms including:VMware NSXKVMHyper-VKubernetes-based AI platforms Collaborate with compute, storage, cloud, and Dev Ops teams to ensure end-to-end infrastructure performance. Support network automation initiatives using Python, Ansible, Terraform, and Infrastructure-as-Code (IaC) methodologies. Perform network performance testing, benchmarking, capacity planning, and optimization for evolving AI workloads. Provide technical leadership, troubleshooting expertise, and consulting guidance to enterprise customers and internal teams. Required Skills & Experience Proven experience designing, deploying, and operating VXLAN EVPN-based data center networks. Strong hands-on experience with:Cisco Nexus 9000 platforms Cisco ACIArista EOSSpine-leaf architectures Advanced knowledge of data center routing and switching technologies:BGPOSPFIS-ISMulticast Network virtualization Deep understanding of AI and HPC networking requirements, including:RoCEv2RDMAData Center Bridging (DCB) Priority Flow Control (PFC) Congestion management and latency optimization Experience supporting GPU-accelerated infrastructure and distributed computing environments. Strong troubleshooting skills across network control plane, data plane, and performance issues. Experience with network automation and orchestration tools:Python Ansible Terraform Understanding of hybrid cloud and multi-cloud networking architectures. Preferred Qualifications & Certifications CCIE Data Center certification preferred. CCNP Data Center or equivalent advanced networking certification. Cisco certifications such as:Cisco Certified Specialist – Data Center Core Cisco Certified Specialist – Enterprise Core Experience with NVIDIA networking technologies, including:NVIDIA Spectrum switches NVIDIA Cumulus Linux Arista certifications such as Arista ACE are highly desirable. Experience designing and supporting AI infrastructure, hyperscale data centers, or HPC environments.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph">border:0px; font-style:normal; font-weight:400; font-stretch:inherit; font-size:12pt; line-height:inherit; font-family:Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size-adjust:inherit; margin:0px; padding:0px; vertical-align:baseline; color:black !important; letter-spacing:normal; orphans:2; text-indent:0px; text-transform:none; widows:2; word-spacing:0px; white-space:normal; background-color:rgb(255, 255, 255)"&gt;<b>Role Overview <br> <div> <br> <div>The DevOps &amp; Release Management Engineer is the gatekeeper of our production environment, responsible for architecting and executing the continuous integration and continuous deployment (CI/CD) strategy across our entire financial technology ecosystem. You will ensure seamless, zero-downtime releases for our core platforms (Fineract and ERPNext) alongside our proprietary custom stack (mobile applications, Java/Spring Boot middleware, credit decision engine, and BPM workflows). Operating entirely within Google Cloud Platform (GCP KSA), you will champion infrastructure-as-code (IaC), container orchestration, and strict release governance to meet the high-availability demands of the KSA financial sector.<br> <div> <br> <div> <b>Key Responsibilities <br> <div>Release Planning &amp; Governance<br> <ul> <li> <div>Own the Release Management lifecycle: schedule, coordinate, and manage releases across development, QA, UAT, and production environments.<br> </div></li><li> <div>Define and enforce strict release gates, change management controls, and rollback procedures to ensure system stability and compliance with SAMA regulatory requirements.<br> </div></li><li> <div>Maintain comprehensive audit trails of all deployments and infrastructure changes for compliance and security reviews.<br> <div> <br> <div>CI/CD Pipeline Architecture<br> <ul> <li> <div>Design, build, and maintain robust automated CI/CD pipelines for a diverse tech stack, accommodating monolithic packaged applications (ERPNext) and modern microservices.<br> </div></li><li> <div>Automate testing integration, code quality checks, and security scanning within the deployment pipelines for custom-built middleware, mobile apps, and decision engines.<br> </div></li><li> <div>Manage environment consistency and configuration drift across all tiers.<br> <div> <br> <div>Cloud Infrastructure &amp; Container Orchestration<br> <ul> <li> <div>Manage and scale the underlying GCP infrastructure using Infrastructure-as-Code (e.g., Terraform).<br> </div></li><li> <div>Administer and optimize Kubernetes (K8s) clusters for the deployment of proprietary microservices, ensuring efficient resource utilization, auto-scaling, and high availability.<br> </div></li><li> <div>Manage service meshes, API gateways, and identity/access management configurations (e.g., Keycloak) critical to the middleware's security architecture.<br> <div> <br> <div>Monitoring &amp; Operations Support<br> <ul> <li> <div>Implement advanced telemetry, logging, and monitoring solutions across the GCP environment (e.g., Prometheus, Grafana, ELK stack) to proactively detect post-release anomalies.<br> </div></li><li> <div>Collaborate closely with the ITSM Lead and L3 Engineering to troubleshoot deployment failures, database migration issues (e.g., PostgreSQL), and complex network routing problems.<br> <div> <br> <br> <span> Requirements <div> <div>Qualifications &amp; Technical Requirements<br> <ul> <li> <div>Experience: 5+ years of experience in DevOps, Cloud Engineering, and Release Management, ideally within banking, fintech, or a highly regulated industry.<br> </div></li><li> <div>Cloud &amp; Infrastructure: Deep, hands-on expertise with Google Cloud Platform (GCP) and container orchestration using Docker and Kubernetes.<br> </div></li><li> <div>CI/CD &amp; Automation: Proficiency with enterprise CI/CD tools (e.g., GitLab CI, Jenkins, ArgoCD) and configuration management.<br> </div></li><li> <div>Technical Stack Knowledge:<br> <ul> <li> <div>Experience deploying and managing Java (Spring Boot) and Python applications.<br> </div></li><li> <div>Strong understanding of relational databases, specifically PostgreSQL, and handling automated database migrations during releases.<br> </div></li><li> <div>Familiarity with the deployment architectures of Fineract and/or ERPNext (Frappe framework) is highly advantageous.<br> </div></li><li> <div>Scripting: Strong scripting skills (Bash, Python) for automating routine operational tasks.<br> </div></li><li> <div>Process Acumen: Deep understanding of Agile methodologies, ITIL release management frameworks, and blue/green or canary deployment strategies.<br> <div> <br> <div> <br> <br>","Work_Experience":null,"</div></div></div></li></ul></div></li></ul></div></div></span></div></div></li></ul></div></div></div></li></ul></div></div></div></li></ul></div></div></div></li></ul></div></b></div></div></div></div></b></div></section>

<p><br></p><p>You will work closely with clients across the Saudi market to translate business strategies into robust data engineering solutions, while contributing to client engagements, proposals, and wider practice growth in the region.</p><p><strong>Key Responsibilities</strong></p><ul><li>Lead the design and delivery of end-to-end data engineering solutions across multiple client engagements.</li><li>Architect, build, and optimize scalable data platforms and data pipelines for analytics, BI, and AI use cases.</li><li>Design and implement modern data architectures, including medallion and lakehouse patterns, across cloud and on-premise environments.</li><li>Develop robust data models and pipelines ensuring performance, reliability, security, and governance.</li><li>Collaborate with business stakeholders, data scientists, and analytics teams to enable AI-driven solutions.</li><li>Support data modernization and migration initiatives, including legacy-to-cloud transitions.</li><li>Prepare and deliver high-quality client materials including presentations, solution designs, and executive-level narratives.</li><li>Contribute to proposal development, solution shaping, estimations, and commercial discussions.</li><li>Coach and mentor junior team members and contribute to EY knowledge assets.</li></ul><p><strong>Skills and Attributes for Success</strong></p><ul><li>Strong hands-on experience in SQL and Python for data engineering use cases.</li><li>Proven expertise in data modeling, ETL/ELT development, and pipeline orchestration.</li><li>Solid understanding of data platforms and modern engineering technologies.</li><li>Deep knowledge of data architectures, including batch and streaming pipelines.</li><li>Experience across cloud platforms (Azure, AWS, and/or GCP) and on-premise technologies.</li><li>Strong understanding of data governance, quality, and security principles.</li><li>Excellent storytelling skills, with the ability to translate technical concepts into business value.</li><li>Strong experience preparing client presentations, business cases, and Data &amp; AI proposals.</li><li>Good business and commercial acumen with consulting delivery experience.</li><li>Experience with Dataiku and related data science platforms for developing, orchestrating, and operationalizing analytics and AI solutions.</li></ul><p><strong>Experience and Qualifications</strong></p><ul><li>3-7+ years of experience in data engineering and/or Data &amp; AI consulting.</li><li>Prior experience in a consulting or professional services environment is strongly preferred.</li><li>Bachelor s or Master s degree in Computer Science, Engineering, Data Science, or a related field.</li><li>Experience delivering projects within large, complex organizations is an advantage.</li></ul><p><strong>Language Requirements</strong></p><ul><li>Arabic language skills are strongly preferred.</li><li>Professional proficiency in English is required.</li></ul><p><br></p><p><strong>Desired Candidate Profile</strong></p><ul><li>Strong hands-on experience in SQL and Python for data engineering use cases.</li><li>Proven expertise in data modeling, ETL/ELT development, and pipeline orchestration.</li><li>Solid understanding of data platforms and modern engineering technologies.</li><li>Deep knowledge of data architectures, including batch and streaming pipelines.</li><li>Experience across cloud platforms (Azure, AWS, and/or GCP) and on-premise technologies.</li><li>Strong understanding of data governance, quality, and security principles.</li><li>Excellent storytelling skills, with the ability to translate technical concepts into business value.</li><li>Strong experience preparing client presentations, business cases, and Data &amp; AI proposals.</li><li>Good business and commercial acumen with consulting delivery experience.</li><li>Experience with Dataiku and related data science platforms for developing, orchestrating, and operationalizing analytics and AI solutions.</li><li>3-7+ years of experience in data engineering and/or Data &amp; AI consulting.</li><li>Prior experience in a consulting or professional services environment is strongly preferred.</li><li>Bachelor s or Master s degree in Computer Science, Engineering, Data Science, or a related field.</li><li>Experience delivering projects within large, complex organizations is an advantage.</li><li>Arabic language skills are strongly preferred.</li><li>Professional proficiency in English is required.</li></ul>