Fire Fighting EngineerJobs
15933 Jobs Found
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<p><span><strong>About us</strong> </span></p><br><p><span>Worley is a global company of energy, chemicals and resources experts headquartered in Australia. We partner with our customers to deliver projects and create value across the life of their assets. We specialize in consulting, engineering, procurement and construction across the project lifecycle, with services extending through to operations and decommissioning. Leveraging extensive experience and AI-enabled delivery, we support customers in navigating complexity as they meet today's needs and transition to more sustainable solutions. </span></p><br><span>Key Responsibilities</span><ul><li><span>Assist in reviewing engineering deliverables for compliance with company and client quality standards.</span></li><li><span>Support implementation and monitoring of the Quality Management System (QMS).</span></li><li><span>Participate in internal audits, inspections, and non-conformance investigations.</span></li><li><span>Help prepare Quality Plans, Inspection & Test Plans (ITPs), and quality reports.</span></li><li><span>Track quality metrics, corrective actions, and document control activities.</span></li><li><span>Support root cause analysis and continuous improvement initiatives.</span></li><li><span>Coordinate with engineering and project teams to maintain quality records and documentation.</span></li><li><span>Assist in ensuring compliance with ISO 9001, API standards, and project specifications.</span></li><li><span>Perform data analysis and reporting using Excel and other quality tools.</span></li><li><span>Support quality assurance activities during engineering, procurement, and construction phases.</span></li></ul> <span>Qualifications</span><ul><li><span>Currently pursuing a Bachelor’s degree in:</span><ul><li><span>Mechanical Engineering</span></li><li><span>Industrial Engineering</span></li><li><span>Civil Engineering</span></li><li><span>Electrical Engineering</span></li><li><span>Or a related engineering discipline</span></li></ul></li><li><span>Strong academic performance and willingness to learn.</span></li><li><span>Internship or project experience in quality, manufacturing, or engineering is a plus.</span></li></ul><p><strong>Moving forward together</strong></p><br><p>We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. We're building a diverse, inclusive and respectful workplace. Creating a space where everyone feels they belong, can be themselves, and are heard.</p><br><p>And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there's a path for you here.</p><br><p>And there's no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change.</p><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5">
Preferred candidate </h2>
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<b>Years of experience</b>
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No experience required </div>
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<b>Degree</b>
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Bachelor's degree / higher diploma </div>
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<ul><li>Fluent in BIM Management of all trades.</li><li>Maintain the current combined/federated Navisworks model incorporating all discipline NWC files (Landscape LSC, Civil CV, MEP MCH/ELEC/PH, Structural STR, Architecture ARC, Theming), updated weekly and shared on clients ACC platform.</li><li>Create and maintain BEP</li><li>Manage and update MIDP</li><li>Manage model file structure in accordance with BEP;.</li><li>Coordinate with all sub-contractor BIM Leads to collect, review, and integrate discipline model updates on a weekly basis.</li><li>Ensure all models are geolocated, linked to the master survey model; validate coordinate system alignment at every update cycle.</li><li>Manage Revit worksets, linked files, and starting view/splash screens for all SATCO-authored models per EIR §5.7.2.</li><li>Run weekly clash detection using Autodesk Navisworks Manage across all discipline combinations</li><li>Classify clashes.</li><li>Assign clash ownership to responsible discipline sub-contractor BIM Leads; track resolution status and close-out in the clash issue log.</li><li>Produce weekly Clash Coordination Reports.</li><li>Ensure zero tolerance for unresolved hard clashes at construction stage.</li><li>Conduct and minute weekly BIM Coordination Meetings and Cross-Discipline Clash Review meetings; distribute Aconex meeting minutes within 48 hours per Spec 01 31 00 §12.4.</li><li>Extract all project drawings (design, shop, fabrication, and as-built) directly from BIM models</li><li>Coordinate with discipline engineers</li><li>Assist the Engineering Manager in coordinating shop drawing submittal packages.</li><li>Support the preparation of BIM-based Quantity Take-Off</li><li>Maintain the Model Register.</li><li>Coordinate progressive COBie data population with sub-contractor BIM Leads throughout construction.</li></ul><p><br></p> </div><h2 class="h5">Skills</h2>
<div data-jb-field="skills"><ul><li>Manage SATCO's Autodesk Construction Cloud (ACC) project environment:</li><li>Prepare and submit all formal BIM milestone packages through Aconex</li><li>Cross-verify each formal Aconex submission against the MIDP Maintain the CDE workflow: WIP → Shared → Published → Archived; track document status codes and notify discipline leads of reviewer comments.</li><li>Onboard sub-contractor teams to ACC; manage their access permissions and ensure all Tier 4 BIM Leads share WIP models weekly.</li><li>Perform internal BIM QA/QC checks on all models before any formal submission,</li><li>Verify LOIN compliance: DC Shared Parameters (DC_A through DC_I, App01.5.2) loaded and populated for all model elements at the applicable LOD stage.</li><li>Verify COBie data completeness:</li><li>Raise and track BIM Non-Conformance Reports (NCRs) against sub-contractors.</li></ul><p><br></p></div>
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<p>Eaton is a power management company where we provide energy-efficient solutions that help our customers effectively manage electrical, hydraulic and mechanical power more efficiently, safely and sustainably. Eaton is dedicated to improving the quality of life and the environment through the use of power management technology and services. Eaton has approximately 96,000 employees and sells products to customers in more than 175 countries.</p><br><br>What you’ll do:
<br><p>• Tendering & Bill of material activities for cable channel, cable containment, cable ladders</p><br><br><p>• Deliver with accuracy of the proposed techno-commercial solutions and engineering drawings/Submittals.<br>• Handling the purchase orders technical tasks from drawings preparations till converting it to bill of materials and release it for production.<br>• Preparation of projects final documentation as per customers’ order documentation list requirements.<br>• Coordinate with local assembly team to iron out all technical clarification and ensure a smooth execution of the orders.<br>• Working with manufacturing, operations and quality departments for better products offering, ideal designs, enhanced quality, and process improvement.<br>• Prioritize the activities of a multi-functional tasks in the areas of specification review, product selection, cost/price development and proposal generation.<br>• To be part of cost out projects and materials localizations.</p><br><br>Qualifications:
<br><p>• Bachelor’s degree in Mechanical/Electrical Engineering or Equivalent.<br>• A minimum of 4+ years</p><br><br>Skills:
<br><p>• Proficient in interpreting electrical layouts, single-line diagrams, and cable routing plans<br>• Strong understanding of cable tray types (ladder, perforated, wire mesh) and materials (GI, SS, Aluminum, FRP).<br>• Knowledge of industry standards (e.g., NEC, IEC, NEMA, BS) related to cable management systems.<br>• Ability to prepare detailed Bill of Materials (BOM) and cost estimation for cable tray systems.<br>• Experience in designing cable tray layouts considering load capacity, spacing, and support systems.<br>• Experience in preparing technical submittals and responding to client/consultant comments.<br>• Handling of incoming inquires by self-maintaining close communication with Sales team to ensure the best offering to meet the customer requirement.<br>• Read/evaluate customer RFQs, drawings and specifications to determine work scope of supply.<br>• Implement proper product positioning, optimized costing in line with customer requirements, end user specification and international standards.<br>• Liaison with factories for inquiries with special requirements / local assembly items and select special adaptations of products to meet customer needs.</p><br><br><p>• Experience in international companies across EMEA (end users standard & specs such as ARAMCO, ADNOC, ONGC...)<br>• Product knwoledge related to Data centers, Oil & Gas industry onshore/offshore applications<br>• Strong analytical and problem-solving skills.<br>• Effective communication and teamwork abilities.<br>• Attention to detail and commitment to quality.<br>• Software MS-Office, SAP, AUTOCAD, E3D, Solid works. </p><br><br><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5">
Preferred candidate </h2>
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<b>Years of experience</b>
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No experience required </div>
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<b>Degree</b>
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Bachelor's degree / higher diploma </div>
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<span>Our Generative AI products are only as good as the data behind them.<br> This role owns that data layer from end to end: the pipelines that bring data in, the transformations that shape it, and the way it reaches retrieval systems, agents, and analytics.<br> The work runs on AWS, and the aim is a single governed source that every consumer can rely on.<br> We want someone who has already built data pipelines for AI systems, not only for reporting.<br> Preparing data for an LLM or an agent brings its own work around chunking, embeddings, indexing, and keeping content current, and you have done it before.<br> The team is small and spans several languages, so you will own your pipelines and help set the standards the rest of us follow.<br> WHAT YOU WILL DO Build and run the batch and streaming pipelines that move data from source systems into the lake and through to the warehouse, owning the layers in between from raw to curated, along with their schema, quality, and lineage.<br> Build the data layer behind retrieval: source connectors, document parsing, chunking, embedding generation, and vector indexing, including re-embedding when content changes.<br> Model curated, query-ready datasets and metrics so AI and analytics consumers work from one definition instead of each rebuilding the logic.<br> Add quality checks, validation, and monitoring so problems surface before they reach a model or a user.<br> Apply access control where it belongs: row and column level rules, PII handling, and entitlement-aware datasets, enforced as close to query time as the stack allows.<br> Work with the platform and DevOps engineers to expose data and retrieval as documented, dependable services.<br> Keep storage, compute, and query costs in check, with particular attention to the cost of embedding and vector workloads Review code, write the documentation, and help shape how the team builds its data layer.<br> Eight or more years in data engineering overall.<br> That includes hands-on work building data for AI or ML systems such as retrieval, embeddings, or feature data, which can be a more recent part of your background.<br> Strong SQL and strong Python, including PySpark or similar distributed processing.<br> Production experience across the AWS data stack: S3 for the lake, Glue for ETL and the Data Catalog, Athena for serverless query, and Redshift as the warehouse.<br> Hands-on experience with a layered data architecture, whether you call it medallion (bronze, silver, gold), a data lake feeding a warehouse, or a lakehouse, including building the transformation stages that move data from raw to curated.<br> Experience with an ELT or integration tool such as Airbyte, Fivetran, or Meltano, including building or maintaining connectors.<br> Experience with event-driven pipelines using SQS and SNS, and with at least one streaming or change-data-capture technology such as Kinesis, Amazon MSK, or Debezium.<br> Hands-on experience with a semantic or metrics layer over the warehouse, such as Cube or the dbt Semantic Layer.<br> Hands-on experience with at least one vector store and embedding workflow: pgvector, Amazon OpenSearch, Pinecone, Weaviate, or Milvus.<br> Comfort with columnar and open table formats: Parquet together with Apache Iceberg, Delta Lake, or Hudi.<br> Working knowledge of an orchestrator such as Amazon MWAA, Step Functions, Dagster, or Prefect, and enough infrastructure as code to work closely with DevOps.<br></span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5">
Preferred candidate </h2>
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<b>Years of experience</b>
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No experience required </div>
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<b>Degree</b>
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Bachelor's degree / higher diploma </div>
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Since 2004, 2P has been a leader in Saudi Arabia’s ICT landscape, delivering integrated technology solutions that help organizations accelerate digital transformation and improve operational efficiency. With a strong foundation in innovation and service excellence, 2P continues to provide end-to-end solutions through its specialized business units and trusted market expertise. We are always looking to connect with talented professionals who are passionate about making an impact and growing within a dynamic, forward-looking environment.<br>Key Responsibilities Cluster Administration & Operations Design, deploy, and administer multi-node Apache Kafka clusters across Development, UAT, and Production environments. Manage Kafka ecosystem components including Brokers, Zoo Keeper/KRaft, Schema Registry, Kafka Connect, and ksql DB. Perform cluster sizing, capacity planning, partition rebalancing, and topic lifecycle management. Execute rolling upgrades, patching activities, and version migrations with minimal or zero downtime. Configure replication, ISR, retention, compaction, and quota policies in line with business SLAs.<br>Performance & Reliability Monitor cluster performance, throughput, consumer lag, latency, and broker health using monitoring platforms. Optimize JVM, operating system, storage, and network configurations for maximum performance. Conduct load testing, bottleneck analysis, and capacity forecasting. Implement and maintain disaster recovery and geo-replication solutions using multi-Region architectures, Mirror Maker2, or Cluster Linking.<br>Security & Governance Configure and maintain authentication, authorization, and encryption mechanisms. Integrate Kafka with enterprise identity and access management solutions. Enforce governance standards, audit logging, and compliance requirements.<br>Integrations & Development Support Build and maintain Kafka Connect integrations with enterprise platforms and data sources. Administer Schema Registry and enforce schema governance standards. Support development teams with onboarding, troubleshooting, and Kafka best practices. Automate platform provisioning and operational tasks using Infrastructure as Code and CI/CD tools.<br>Incident & Release Management Lead incident response, root cause analysis, and resolution of critical production issues. Develop and maintain operational runbooks, SOPs, and disaster recovery documentation. Conduct periodic disaster recovery testing and validation exercises. Mentor and support junior engineers and administrators.<br>Requirements Bachelor’s degree in computer science, Engineering, or a related field. Minimum 5 years of hands-on experience administering Apache Kafka or Confluent Platform in production environments. Strong knowledge of Kafka architecture, including brokers, partitions, replication, consumer groups, offsets, and ISR. Experience with Zoo Keeper and/or KRaft deployments. Proficiency in Kafka Connect, Schema Registry, Mirror Maker2, and ksql DB. Strong Linux administration skills. Proficiency in scripting using Bash, Python, or Go. Solid understanding of JVM tuning, networking concepts, and storage systems. Experience with monitoring and observability tools such as Prometheus, Grafana, ELK, Datadog, or Confluent Control Center. Hands-on experience implementing Kafka security using SASL, SSL/TLS, Kerberos, ACLs, and RBAC. Familiarity with CI/CD pipelines, Infrastructure as Code tools (Terraform, Ansible), and container platforms such as Docker, Kubernetes, and Open Shift.<br>Preferred Qualifications Confluent Certified Administrator (CCAAK) or Confluent Certified Developer (CCDAK) certification. Experience running Kafka on Kubernetes using platforms such as Strimzi or Confluent for Kubernetes. Experience with cloud-managed Kafka services including Confluent Cloud, AWS MSK, Azure Event Hubs for Kafka, or Google Cloud. Exposure to streaming and data integration technologies such as Flink, Spark Streaming, NiFi, and Debezium. Experience within banking, fintech, telecommunications, or large-scale e-commerce environments. Familiarity with ITIL processes and service management practices.<br>Skills & Competencies Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Strong ownership and accountability mindset. Ability to work effectively in high-pressure production environments. Willingness to participate in on-call support rotations and after-hours incident management. Ability to mentor and guide junior team members.
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.
Please submit your CV in English and indicate your level of English proficiency.<br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<br><br>What This Opportunity Involves<br><br>We're building a dataset to evaluate AI coding agents — how well a model handles real-world developer tasks. You'll create challenging tasks and evaluation criteria within realistic simulated environments:<br><br>Build virtual companies following a high-level plan - codebase, infrastructure, and context (conversations, documentation, tickets) that form a realistic environment with development history Assemble and calibrate tasks from intermediate states of the virtual company: craft the prompt, define evaluation criteria, and ensure the task is solvable and the evaluation is fair Design tasks set in isolated environments - emulations of a developer's workstation: a Linux machine with development tools (terminal, CLI), MCP servers (repository, task tracker, messenger, documentation, etc.), and a real web application codebase Write tests that accept all correct solutions and reject incorrect ones - neither too strict (breaking on valid approaches) nor too lenient (passing bad ones) Iterate with an AI agent on tests - verifying they catch real problems, don't miss bad solutions, and don't break on good ones Review code written by agents, analyze why an agent failed or succeeded, and design edge cases and adversarial scenarios Iterate based on feedback from expert QA reviewers who score your work on quality criteria<br><br>What This Is NOT<br><br>Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate<br><br>A significant part of the work is done together with AI - it's very hard to create tasks that challenge frontier models without using frontier models.<br><br>What We Look For<br><br>This opportunity is a good fit for experienced developers, software engineers, and/or test automation specialists open to part-time, non-permanent projects. Ideally, contributors will have:<br><br>Degree in Computer Science, Software Engineering, or related fields5+ years in software development, primarily Python (Fast API, pytest, async/await, subprocess, file operations) Background in full-stack development, with experience building React-based interfaces (Java Script/Type Script) and robust back-end systems Experience writing tests (functional, integration — not just running them) Docker containers, and familiarity with infrastructure tools (Postgres, Kafka, Redis) CI/CD understanding (Git Hub Actions as a user: triggers, labels, reading results) English proficiency - B2<br><br>You don't need to be an expert in every item, but you should be comfortable reading and reasoning about code across the stack.<br><br>Why this is hard<br><br>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution Tasks have many valid solutions. Writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid<br><br>Effort estimate<br><br>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br><br>Compensation<br><br>On this project, contributors can earn up to $40 per hour equivalent, depending on their level and pace of contribution.<br><br>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
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Company Description<br><p><strong>Work with Us. Change the World.</strong></p><br><p>At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations.</p><br><p>There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.</p><br><p>We're one global team driven by our common purpose to deliver a better world. Join us.</p><br><br>Job Description<br><p>**Job Responsibilities:**</p><br><ul><li>Manages one or more moderately complex projects, involving a combination of the following:</li><li>Clients with a regional geographic footprint; OR</li><li>Projects involving multiple services provided by regional IE offices; OR</li><li>Other complexities, such as projects that involve litigation, environmental protection, due diligence, etc.</li><li>Manages all phases of projects from inception through closeout, ensuring adherence to scope, schedule, and budget parameters.</li><li>Works mostly independently but receives basic instruction on specific assignments, objectives, complex features, and possible solutions.</li><li>Receives technical guidance on unusual or complex problems and supervisory approval on proposed project plans.</li><li>Supervises senior-level engineers across all applicable disciplines, as well as project administration, project controls, scheduling, cost control, estimating, and procurement representatives.</li><li>Provides mentoring and professional development guidance to junior and mid-level engineering staff to foster technical growth and career advancement.</li><li>Conducts quality assurance reviews and technical audits to ensure compliance with engineering standards, building codes, and regulatory requirements specific to the Kingdom of Saudi Arabia.</li><li>Manages client relationships and stakeholder communications, providing regular project updates, addressing concerns, and ensuring client satisfaction throughout project delivery.</li><li>Oversees budget allocation, resource planning, and cost control measures to optimize project profitability and operational efficiency.</li><li>Identifies, assesses, and implements risk mitigation strategies to minimize project delays, cost overruns, and technical challenges.</li><li>Ensures compliance with all applicable KSA regulations, environmental protection standards, and contractual obligations throughout project execution.</li><li>Prepares comprehensive project documentation, reports, and deliverables for internal and external stakeholders.</li><li>Drives continuous improvement initiatives and process optimization to enhance project delivery methodologies and team performance.</li></ul><br>Qualifications<br><p>**Required Qualifications:**</p><br><ul><li>Minimum 10 years of professional engineering experience, with at least 3 years in the Kingdom of Saudi Arabia (KSA)</li><li>Bachelor of Science (BSc) degree in Civil Engineering or related engineering discipline</li><li>Demonstrated project management experience with responsibility for moderately complex projects</li><li>Proven experience managing projects across multiple phases from inception to closeout</li><li>Experience supervising and leading engineering teams and project support staff</li><li>Strong knowledge of KSA building codes, regulations, and local engineering standards</li></ul><p>**Preferred Qualifications:**</p><br><ul><li>Master's degree in Civil Engineering, Project Management, or related field</li><li>Project Management Professional (PMP) or equivalent certification</li><li>Experience managing projects with regional geographic scope or multi-office coordination</li><li>Familiarity with litigation support, environmental protection, or due diligence projects</li><li>Proficiency in project management software and engineering design tools</li><li>Experience in cost control, scheduling, estimating, and procurement management</li><li>Demonstrated ability to work independently whilst managing complex technical challenges</li></ul><br>Additional Information<br><p><em>At AECOM, we are committed to maintaining a secure and trustworthy recruitment process and take any fraudulent hiring activity seriously. <strong>To support this commitment, all newly hired employees are required to attend an in-person Day 1 onboarding at an AECOM office location as a condition of employment.</strong></em></p><br><p><strong>About AECOM</strong> </p><br><p>AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options, well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan. </p><br><p>AECOM is the global infrastructure leader, committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities, we solve our clients’ complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public- and private-sector clients to create innovative, sustainable and resilient solutions throughout the project lifecycle – from advisory, planning, design and engineering to program and construction management. AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2025. Learn more at aecom.com. </p><br><p><strong>What makes AECOM a great place to work</strong> </p><br><p>You will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects - both in your local community and on a global scale - that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts, you’ll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career you’ve always envisioned. Here, you’ll find a welcoming workplace built on respect, collaboration and community - where you have the freedom to grow in a world of opportunity. </p><br><p>As an Equal Opportunity Employer, we believe in your potential and are here to help you achieve it. All your information will be kept confidential according to EEO guidelines. </p><br><br><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5">
Preferred candidate </h2>
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<b>Years of experience</b>
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No experience required </div>
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<div class="col is-3 p5" data-automation-id="label_Degree">
<b>Degree</b>
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<div class="col is-9 p5" data-automation-id="data_Degree">
Bachelor's degree / higher diploma </div>
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Please submit your CV in English and indicate your level of English proficiency.<br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves:<br><br>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br><br>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<br><br>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<br><br>What this is NOT:<br><br>Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate<br><br>What we look for:<br><br>8+ years in software development Core stack: Python (Fast API), Java Script/Type Script (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+<br><br>Why this is hard:<br><br>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate<br><br>Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br><br>Compensation:<br><br>Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $200/hr. Because payment is per task, a faster pace raises your effective hourly rate.
Please submit your CV in English and indicate your level of English proficiency.<br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves:<br><br>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br><br>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<br><br>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<br><br>What this is NOT:<br><br>Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate<br><br>What we look for:<br><br>8+ years in software development Core stack: Python (Fast API), Java Script/Type Script (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+<br><br>Why this is hard:<br><br>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate<br><br>Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br><br>Compensation:<br><br>Up to $200/hr equivalent, depending on level and pace. Tasks are estimated at :30 hours each; you set your own schedule.
Please submit your CV in English and indicate your level of English proficiency.<br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<br><br>What This Opportunity Involves<br><br>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br><br>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<br><br>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<br><br>What This Is NOT<br><br>Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate<br><br>What We Look For<br><br>5+ years in software development Core stack: Python (Fast API), Java Script/Type Script (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+<br><br>Why this is hard <br><br>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid<br><br>Effort estimate<br><br>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br><br>Compensation<br><br>Up to $50/hr equivalent, depending on level and pace. Tasks are estimated at :20 hours each; you set your own schedule.
Please submit your CV in English and indicate your level of English proficiency.<br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves:<br><br>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br><br>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<br><br>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<br><br>What this is NOT:<br><br>Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate<br><br>What we look for:<br><br>8+ years in software development Core stack: Python (Fast API), Java Script/Type Script (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+<br><br>Why this is hard:<br><br>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate<br><br>Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br><br>Compensation:<br><br>Up to $200/hr equivalent, depending on level and pace. Tasks are estimated at :30 hours each; you set your own schedule.
Please submit your CV in English and indicate your level of English proficiency.<br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<br><br>What This Opportunity Involves<br><br>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br><br>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<br><br>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<br><br>What This Is NOT<br><br>Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate<br><br>What We Look For<br><br>5+ years in software development Core stack: Python (Fast API), Java Script/Type Script (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+<br><br>Why this is hard <br><br>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid<br><br>Effort estimate<br><br>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br><br>Compensation<br><br>Up to $50/hr equivalent, depending on level and pace. Tasks are estimated at :20 hours each; you set your own schedule.
Please submit your CV in English and indicate your level of English proficiency.<br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<br><br>What This Opportunity Involves<br><br>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br><br>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<br><br>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<br><br>What This Is NOT<br><br>Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate<br><br>What We Look For<br><br>5+ years in software development Core stack: Python (Fast API), Java Script/Type Script (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+<br><br>Why this is hard <br><br>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid<br><br>Effort estimate<br><br>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br><br>Compensation<br><br>Up to $50/hr equivalent, depending on level and pace. Tasks are estimated at :20 hours each; you set your own schedule.
About Us.<br>MISAC, Midea Shaker Company is collaboration between Midea Residential Air Conditioners (Midea RAC) and Midea Building Technologies (Midea MBT) with Hussein & Al-Hassan G. Shaker Bros. for Modern Trading Co. LTD (HH-Shaker) aims to establish a joint venture encompassing local manufacturing and sales, dedicated to breaking into the HVAC engineering market.<br>As the political and economic hub of the Middle East, Saudi Arabia has witnessed rapid development in its infrastructure and engineering sectors under the Vision 2030. MISAC is actively responding to the initiatives of investing in Saudi and local manufacturing, as well as the sustainable development strategy. Leveraging advanced energy-saving technologies and intelligent products, MISAC provides efficient, low-carbon HVAC solutions for the local market, which are widely applied across various fields including residential, commercial, industrial, agricultural, and large-scale public facilities.<br>Job Responsibilities:<br>Establishment of Quality Management System: Maintain QMS documents including quality manual, procedure documents, work instructions, etc. Operation Monitoring of Quality Management System: Review and supervise the operation of the quality management system, and drive continuous system improvement. Quality Training Administration: Organize quality management training to improve employees’ quality awareness and professional skills. Customer Audit Coordination: Assist in responding to customer quality audits, prepare audit documents, and follow up corrective actions for non-conformities raised during audits. Product Certification Management: Take charge of SASO certification for company products, covering product testing, resolution of test failures, and liaison with certification bodies. Supply Chain Quality Management: Conduct compliance audits and on-site inspections for local suppliers. Finished Goods Quality Control: Maintain procedures and standards for finished product quality management, and track rectification of non-conforming finished products. Market Quality Improvement: Manage field quality issues, communicate with customers to handle customer complaints, and coordinate with internal production plants to implement improvement actions.<br>Job Requirements:<br>Bachelor’s degree or above, majoring in Quality Management, Industrial Engineering, Mechanical Manufacturing or related disciplines. Minimum 2 years of working experience in quality management system, with valid ISO9001 Internal Auditor Certificate. Proficient in ISO9001 quality management system standards and clauses. Hands-on experience in building and sustaining quality management systems. Skilled in quality management tools and methodologies. Strong analytical skills and cross-departmental coordination capabilities. Excellent written communication and training delivery skills. Meticulous, rigorous working attitude with strong sense of accountability.
Please submit your CV in English and indicate your level of English proficiency.<br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<br><br>What This Opportunity Involves<br><br>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br><br>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<br><br>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<br><br>What This Is NOT<br><br>Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate<br><br>What We Look For<br><br>5+ years in software development Core stack: Python (Fast API), Java Script/Type Script (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+<br><br>Why this is hard <br><br>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid<br><br>Effort estimate<br><br>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br><br>Compensation<br><br>Up to $50/hr equivalent, depending on level and pace. Tasks are estimated at :20 hours each; you set your own schedule.
Project Controls Lead | Data Centre Development30 - 40k SAR<br>Location: Riyadh or Dammam, Saudi Arabia, or Dubai, UAE<br>A leading international data centre developer is looking to appoint a Project Controls Lead to support the delivery of a rapidly expanding portfolio of mission-critical projects across the GCC. This is an excellent opportunity to join a business experiencing significant growth, working on large-scale hyperscale and critical infrastructure developments where you'll play a key role in ensuring projects are delivered on programme.<br>The Role Reporting to the VP of Project Development, you will establish and maintain project controls across multiple live developments, providing clear visibility of programme performance, project risks, milestones and reporting. You will work closely with Development, Design, Procurement, Commercial and Construction teams to ensure programmes remain realistic, achievable and aligned with project objectives.<br>Key responsibilities include:• Developing and maintaining integrated project programmes from design through to commissioning.• Reviewing contractor and consultant schedules, identifying critical path risks and opportunities.• Managing programme risks, issues, change control and mitigation plans.• Producing clear reporting for senior leadership and project stakeholders.• Supporting procurement planning, commercial reporting and project governance.• Helping develop project controls processes, templates and reporting standards across the organisation.<br>About You We're keen to speak with Project Controls professionals who have experience delivering large-scale infrastructure or mission-critical projects. You should have:• 5–8 years' experience in Project Controls, Planning or Project Management.• Experience on data centres, critical infrastructure, power, airports, hospitals, industrial or other major complex developments.• Strong understanding of planning, scheduling, risk management, critical path analysis and project reporting.• Experience using Primavera P6, MS Project and Excel (advanced P6 expertise is beneficial but not essential).• Excellent communication skills and the ability to challenge programmes constructively while working collaboratively with internal and external stakeholders. Middle East experience is advantageous but not essential.<br>What's on Offer• Opportunity to join one of the region's fastest-growing data centre developers.• Exposure to major mission-critical developments across the GCC.• Long-term career progression within a high-growth organisation.• Competitive salary and benefits package.• Flexible location across Riyadh, Dammam or Dubai.<br><br>If you're interested in discussing this opportunity confidentially, apply today or send me a direct message.
Please submit your CV in English and indicate your level of English proficiency.<br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<br><br>What This Opportunity Involves<br><br>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br><br>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<br><br>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<br><br>What This Is NOT<br><br>Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate<br><br>What We Look For<br><br>5+ years in software development Core stack: Python (Fast API), Java Script/Type Script (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+<br><br>Why this is hard <br><br>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid<br><br>Effort estimate<br><br>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br><br>Compensation<br><br>Up to $50/hr equivalent, depending on level and pace. Tasks are estimated at :20 hours each; you set your own schedule.
Please submit your CV in English and indicate your level of English proficiency.<br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<br><br>What This Opportunity Involves<br><br>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br><br>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<br><br>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<br><br>What This Is NOT<br><br>Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate<br><br>What We Look For<br><br>5+ years in software development Core stack: Python (Fast API), Java Script/Type Script (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+<br><br>Why this is hard <br><br>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid<br><br>Effort estimate<br><br>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br><br>Compensation<br><br>Up to $50/hr equivalent, depending on level and pace. Tasks are estimated at :20 hours each; you set your own schedule.
Job Description:Design, implement, manage, and support enterprise network security solutions. Configure, monitor, and troubleshoot firewall solutions, preferably Fortinet technologies. Manage and maintain Web Application Firewalls (WAF) to protect web applications from cyber threats and attacks. Administer endpoint security solutions, including antivirus and endpoint detection and response (EDR) systems. Configure and support email security gateways such as Forti Mail. Implement and maintain Zero Trust Network Access (ZTNA) solutions. Deploy and manage Network Access Control (NAC) solutions across the organization. Monitor and administer centralized authentication systems, including TACACS+ and RADIUS. Monitor, analyze, and respond to security events using IDS/IPS technologies. Conduct vulnerability assessments, security audits, and risk analysis activities. Investigate and troubleshoot network and security incidents to ensure minimal downtime and risk exposure. Support cloud security operations, including VPN gateways, virtual network peering, and cloud firewall configurations. Prepare and maintain technical documentation, security procedures, and network architecture diagrams. Ensure compliance with cybersecurity policies, IT standards, and ISO 27001 requirements. Collaborate with infrastructure, cloud, and IT operations teams to improve the organization’s security posture. Provide technical guidance and support to internal teams when required. Stay updated with the latest cybersecurity threats, technologies, and industry best practices. <br>Job Specifications:Bachelor’s degree in Information Technology, Computer Engineering, Computer Information Systems, or a related field. Minimum of 7 years of experience in network security, cybersecurity, or technical support environments. Strong expertise in firewall administration and troubleshooting. Hands-on experience with Web Application Firewalls (WAF). Experience with antivirus, endpoint protection, and EDR solutions. Knowledge of email security gateways and secure email solutions. Experience implementing Zero Trust Network Access (ZTNA). Experience deploying and managing Network Access Control (NAC) solutions. Strong knowledge of TACACS+, RADIUS, IDS, and IPS technologies. Experience with vulnerability assessments, security audits, and compliance reporting. Good understanding of cloud security and cloud networking technologies. Ability to create and maintain technical documentation and network diagrams. CCIE Security certification is preferred. Fortinet NSE 5, NSE 6, NSE 7, or higher certifications are highly preferred. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Ability to work under pressure and manage multiple priorities. Strong attention to detail and commitment to security best practices.