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devops engineer – quant trading Jobs in Abu Dhabi

devops engineer – quant trading

devsecops engineer

full stack engineer

devops engineer

Sky News Arabia

<div>Job Description 
As a DevOps Engineer, you will join a digital development team that uses cutting-edge cloud and containerization technologies to support mission-critical digital products across Sky News Arabia and other IMI brands. We look to hire and develop the very best engineering talent and will ensure you receive the training and technical exposure needed to succeed and grow within Sky News Arabia.
Key Responsibilities<ul><li> 
Manage cloud-based hosting infrastructure and associated services.</li><li>
Build and maintain cloud-native development and deployment infrastructure.</li><li>
Support engineering teams with platform operations, reliability, and deployment workflows.</li><li>
Automate and improve development, deployment, and release processes.</li><li>
Ensure systems are safe, secure, and compliant with cybersecurity standards.</li><li>
Design, deploy, and manage containerized applications using AWS ECS.</li><li>
Operate scalable, highly available container-based production environments.</li><li>
Partner with engineering teams to optimize cloud-native architectures.</li><li>
Drive improvements in observability, monitoring, and incident response.</li><li>
Serve as release engineer for deployments across digital platforms.</li><li>
Provide technical incident support as part of a 24/7 on-call rota.</li></ul>
KEY SKILLS, EXPERIENCE AND EDUCATION<ul><li> 
Bachelor's degree in Computer Engineering, Computer Science, Information Systems, or related field.</li><li>
Minimum 2+ years of relevant DevOps or cloud engineering experience.</li><li>
Solid experience with AWS cloud environments.</li><li>
Strong experience with CI/CD automation.</li><li>
Strong hands-on experience with monitoring and observability tools Zabbix, Grafana, Prometheus, or ELK.</li><li>
Extensive knowledge of Agile-based software development life cycles.</li><li>
Use Python and shell scripting to automate cloud infrastructure and deployment workflows.</li><li>
Strong Linux systems and services administration experience.</li><li>
Strong experience operating containerized workloads using AWS ECS.</li><li>
Experience with Docker containerization.</li><li>
Experience with PostgreSQL/MySQL or other relational databases.</li><li>
Strong experience using Git-based source control workflows (GitHub/GitLab).</li><li>
Familiarity with microservices architecture and cloud deployment patterns.</li><li>
Proficient in CI/CD tools such as Jenkins, Ansible, Terraform, and CloudFormation.</li><li>
Experience with performance testing and tuning of distributed systems.</li><li>
Working knowledge of Kubernetes (K8s) is a strong advantage.</li><li>
Experience with NGINX administration and optimization.</li><li>
CDN configuration and implementation experience.</li><li>
Understanding of VOD and streaming protocols (HLS / RTMP / DASH / RTP).</li></ul></div>

DevOps Engineer

Durlston Partners

<div></div><div><div><div><div>DevOps
</div><div>$250,000 (tax-free)
</div><div>Abu Dhabi</div><div>
</div></div></div><div><div><div><ul><li>Position: DevOps Engineer</li>
<li>Location: Abu Dhabi, UAE &ndash; full relocation assistance provided</li>
<li>Industry: Leading Crypto Trading Firm</li>
<li>Compensation: Up to $250,000 (tax-free)</li>
</ul>
Durlston Partners is working with a top-tier Quant Trading firm seeking a DevOps Engineer to help design, automate, and scale their trading infrastructure. You&rsquo;ll play a key role in ensuring system reliability, performance, and scalability in a fast-moving, mission-critical environment.

Key Responsibilities:
<ul>
<li>Build and maintain high-performance, scalable infrastructure for trading systems</li>
<li>Automate deployments, monitoring, and operational workflows</li>
<li>Improve reliability, observability, and performance across distributed systems</li>
</ul>
Ideal Experience:
<ul>
<li>4+ years as a DevOps Engineer, SRE, or Systems Engineer</li>
<li>Strong Python experience</li>
<li>Strong Linux and AWS background</li>
<li>Hands-on experience with Kubernetes, Terraform, Grafana, or similar tools</li>
<li>Familiarity with distributed systems, low-latency environments, or trading infrastructure</li>
</ul>
How to:
Please<ul><li> to the advert to register your interest. Alternatively, please feel free to reach out to me for a confidential discussion: david@durlstonpartners.com</li></ul></div></div></div></div>

DevOps Engineer – Quant Trading

Charterhouse Middle East

<div>
 
 
 Competitive Salary, Plus Family Benefits
 
 
 
 
 
 
 Charterhouse is working with a Family Office based in Abu Dhabi that is seeking to hire a Security Engineer to join their Product Support &amp; Design Division. This is a unique opportunity to work in a forward-thinking, innovation-led environment and play a critical role in securing cutting-edge digital platforms.
 
 
 
 
 
 The Security Engineer will be responsible for securing cloud environments (AWS preferred) and containerized workloads, embedding security into Git-based CI/CD pipelines, and hardening Linux systems. The role includes designing and operating layered cloud security, implementing secure patterns for orchestration, and governing software supply chain integrity through artifact and package controls.
 
 
 
 
 
 This role will also integrate automated vulnerability checks across the SDLC, manage incident response including root-cause analysis and forensics, and build telemetry pipelines feeding SIEM for actionable detection and alerting.
 
 
 
 
 
 Additional responsibilities involve defining secure-by-default architectures, enforcing policy guardrails, conducting security trainings, and enabling developer teams with practical secure coding guidance. The Security Engineer will configure and optimize WAF/CDN protections, enforce software supply chain integrity through artifact governance and SBOMs, and develop DevSecOps automation to embed security checks and guardrails into pipelines.
 
 
 
 
 
 The ideal Security Engineer will have a Bachelor&rsquo;s degree in Computer Science, Information Security, or equivalent experience, and at least three years of experience in security engineering, application security, or DevSecOps delivering engineered controls at scale.
 
 
 
 
 
 Candidates must demonstrate proficiency in at least one modern scripting or programming language for automation and integrations, experience operating CI/CD and infrastructure as code with security controls baked into pipelines, and hands-on practice with SIEM, detection engineering, vulnerability assessment, and incident response.
 
 
 
 
 
 Familiarity with industry security frameworks and benchmarks, as well as an understanding of LLM security basics, is essential. Relevant certifications such as AWS Certified Security Specialty, OSCP or OSWE, CKS, and GIAC GCSA, GCIA or GCIH certifications are strongly preferred.
 
</div>

DevSecOps Engineer

Acenet consulting

<div><div>Experience: 10 to 15 years
 
Location: Abu Dhabi
 
Job code: 101384
 
Posted on: Dec 08, 2025 
</div> 
About Us: 
AceNet Consulting is a fast-growing global business and technology consulting firm leveraging a consultative approach, deep domain expertise and strong technology capabilities across business transformation, IT strategy &amp; architecture, digital transformation, data engineering &amp; analytics, AI/ML, cloud &amp; infrastructure, enterprise applications and emerging technologies to deliver value to our global clients. AceNet&rsquo;s marquee clients include Tier-1 and Tier-2 banking &amp; financial services, asset &amp; wealth management, healthcare, consumer retail, eCommerce &amp; logistics, engineering, government &amp; public sectors, consulting and technology firms. With presence across Abu Dhabi UAE, Texas USA and India (Bangalore, Gurgaon &amp; Pune), AceNet brings strong consulting and delivery capabilities across project staffing, managed services, outsourcing and offshoring. 
 
Job Summary: 
We are looking for an AI Solutions Lead to support our ongoing critical project activities. The ideal candidate is responsible for lead the architecture, design, and end-to-end delivery of complex AI/ML solutions and translate business requirements into scalable and secure AI system architectures.
<div>Key Responsibilities: 
<ul><li>Lead the architecture, design, and end-to-end delivery of complex AI/ML solutions.</li><li>Define and implement AI strategy in alignment with enterprise goals and digital transformation initiatives.</li><li>Translate business requirements into scalable and secure AI system architectures.</li><li>Oversee the development and deployment of AI/ML models in production environments.</li><li>Guide data scientists, engineers, and developers in adopting AI best practices and technologies.</li><li>Drive MLOps and AI lifecycle automation including model training, versioning, testing, deployment, and monitoring.</li><li>Design AI solutions integrated with enterprise platforms (Microsoft, Salesforce, ERP, CRM, data lakes, APIs).</li><li>Ensure responsible AI practices, including ethical considerations, bias mitigation, and regulatory compliance.</li><li>Collaborate with C-level stakeholders and business units to assess use cases, prioritize projects, and define success metrics.</li><li>Mentor and lead technical teams; influence architectural decisions across business units.</li></ul></div>
<div>Role Requirements and Qualifications: 
1.AI/ML Expertise: 
<ul><li>Strong knowledge of machine learning, deep learning, NLP, computer vision, and generative AI.</li><li>Hands-on experience with frameworks like TensorFlow, PyTorch, Scikit-learn, Hugging Face, OpenAI APIs.</li></ul>
2.Architecture &amp; System Design: 
<ul><li>Proven experience in designing scalable and secure cloud-native AI solutions.</li><li>Deep understanding of microservices, APIs, event-driven architectures, and real-time inference systems.</li></ul>
3.MLOps &amp; DevOps: 
<ul><li>Experience with tools like MLflow, Kubeflow, Airflow, SageMaker Pipelines, Vertex AI Pipelines.</li><li>Knowledge of CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes).</li></ul>
4.Data &amp; Integration: 
<ul><li>Familiarity with data engineering tools (Spark, Kafka), data lakehouses (Delta Lake, Snowflake), and ETL pipelines.</li><li>Ability to integrate AI with enterprise platforms and legacy systems via RESTful APIs or middleware.</li><li>Strong leadership experience managing multidisciplinary AI/ML teams.</li><li>Ability to drive architecture governance, code quality, and technical standards.</li><li>Excellent communication and presentation skills to influence technical and non-technical stakeholders.</li><li>Strategic thinker with a passion for AI innovation and enterprise transformation.</li></ul>
 
Preferred Experience: 
<ul><li>10+ years of experience in software or data architecture roles, with 4&ndash;5 years focused on AI/ML.</li><li>Track record of delivering AI projects at scale in one or more of the following domains: financial services, healthcare, government, telecom, or retail.</li><li>Familiarity with regulatory frameworks for data and AI (e.g., GDPR, HIPAA, ISO 42001).</li><li>Preferred Certifications:</li><li>AWS Certified Machine Learning &ndash; Specialty</li><li>Microsoft Azure AI Engineer Associate</li><li>Google Professional Machine Learning Engineer</li><li>TOGAF or other architecture frameworks (optional but valuable)</li><li>Responsible AI or ethical AI certifications (optional)</li></ul></div>
<div>Why Join Us: 
<ul><li>Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.</li><li>Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.</li><li>Competitive compensation &amp; benefits, ESOPs and international assignments.</li><li>Supportive environment with healthy work-life balance and a focus on employee well-being.</li><li>Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.</li></ul></div>
How to Apply: 
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.</div>

AI Solutions Lead

Alpheya

<div>About Alpheya
We are a B2B WealthTech startup based in Abu Dhabi and backed by BNY Mellon (America&rsquo;s oldest bank and first company to list on NYSE) and Lunate (a new $50B AUM alternative asset management firm based in Abu Dhabi, UAE). The company has raised $300M to build a state of the art wealth technology platform.
Our mission is to power and grow our clients&rsquo; Wealth franchises through differentiated experiences, financial solutions, and insights. Our digital wealth management platform- will enable banks and other financial institutions in the Middle East to grow and further penetrate affluent, HNW and UHNW investor segments.
While still leveraging the capabilities and knowledge of large organizations, our fintech is a startup with truly cross-functional and agile teams.
For more information, please visit www.alpheya.com
Role description and responsibilities
We're looking for a skilled Lead Data Engineer to contribute to the Python services that power our data platform. You'll help build and maintain high-throughput ETL pipelines that ingest real-time market data and expose it through secure CRUD APIs. Working alongside other backend and data engineers, you'll make sure data flows smoothly from external sources into our internal data platform.<ul>
<li>
Leadership: Lead a team of 2-3 Data Engineers to deliver production ready ETL pipelines and APIs exposing RAG and Agents capabilities.</li>
<li>Market-Data ETL Pipelines: Implement, test, and improve scalable ETL workflows that handle large volumes of data.</li>
<li>Async Orchestration &amp; Scheduling: Develop and maintain task queues with Async tools, helping the team meet SLAs and surface operational metrics.</li>
<li>API Implementation: Build REST endpoints with FastAPI Framework, providing clean CRUD access to market data and configuration entities.</li>
<li>Observability &amp; Reliability: Add structured logs, traces, and metrics; contribute alerts and dashboards (Prometheus/Grafana, OpenTelemetry) that keep services at 99.9 % + availability.</li>
<li>Code Quality &amp; Best Practices: Write type-safe, well-tested code, participate in code reviews, and help maintain CI/CD workflows.</li>
<li>Cross-Functional Collaboration: Work closely with data scientists, and product managers to translate data requirements into robust backend capabilities.</li>
</ul>
Requirements<ul>
<li>
Education - Master's degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).</li>
<li>Experience - 5+ years building production Python backends for data-intensive applications.</li>
<li>Python Mastery - Modern Python (3.10 +) with asyncio, typing, dependency injection, and packaging best practices.</li>
<li>ETL Skills - Experience designing batch or streaming pipelines; comfort with Kafka, RabbitMQ, or similar tools.</li>
<li>Database Skills - Strong Postgres knowledge: migrations (Alembic, Django ORM), query tuning, partitioning, backup/restore.</li>
<li>Async Orchestration - Hands-on with async tools like Airflow, Dagster, or Celery for scheduling and monitoring jobs.</li>
<li>API Engineering - Proven ability to implement secure, versioned REST/GraphQL APIs with auth, rate-limiting, and RBAC.</li>
<li>Testing &amp; DevOps - Familiarity with Pytest, Docker, Kubernetes, Terraform, and GitHub Actions (or similar).</li>
<li>Soft Skills - Clear written and verbal communication; collaborative mindset.</li>
</ul>
Nice-to-Haves<ul>
<li>
Time-series or columnar DBs (TimescaleDB, ClickHouse, InfluxDB).</li>
<li>Knowledge of financial market-data protocols (FIX, FAST) or regulatory feeds.</li></ul></div>

Lead Data Engineer

Birbal AI

A technology company in Abu Dhabi is seeking a Senior SQL Database Administrator to manage and maintain various databases. The role requires expertise in SQL Server, Oracle, MySQL, and PostgreSQL. Responsibilities include optimizing database performance, implementing security measures, and ensuring data integrity. Candidates should have experience with backup and recovery procedures and be capable of collaborating with development and DevOps teams. This is a full-time, on-site position.

Senior DB Admin: HA, Security & Analytics (Abu Dhabi)

DICETEK LLC

<div>Key Responsibilities
Solution Architecture &amp; Design<ul><li>Lead the solution design and architecture blueprint for the CRMS Solution covering functional and technical domains (Credit Risk and Enterprise Risk where applicable).</li><li>Define end-to-end system architecture, including integration with Core Banking &amp; LOS, Data Warehouse / Data Lake, Model Execution Engine (PD-LGD-EAD models), Collateral, Limits, and Exposure Systems, Reporting &amp; Analytics layer and down-stream systems used for IFRS9 ECL , Capital computations, etc.</li><li>Develop the Solution Design Document (SDD) outlining logical, application, and data architecture for the CRMS implementation.</li></ul>
Functional Design Alignment<ul><li>Translate business requirements (BRD/FSD) into system functionalities and process flows ensuring all credit lifecycle components are captured Credit origination and assessment, Rating models and scorecards integration, Approval workflow and delegation of authority, Collateral, covenant, and limit monitoring, Exception management, SICR, and Unlikely-to-Pay triggers, and Portfolio risk consolidation and MIS dashboards.</li><li>Work with business and vendor teams to validate functional design, ensuring consistency between user stories, configuration, and technical feasibility.</li></ul>
Data Architecture &amp; Integration<ul><li>Define data model and mapping for credit exposure, counterparty, and risk parameters aligned with bank&rsquo;s data governance framework.</li><li>Specify data lineage, transformation logic, and quality validation rules for all inbound and outbound data flows.</li><li>Work with the Enterprise Data Management (EDM) and Data Governance teams to ensure data consistency across systems (CRMS, DWH, IFRS9, etc.).</li></ul>
Regulatory &amp; Risk Compliance<ul><li>Ensure design compliance with CBUAE Credit Risk Management Standards (CRMS), Basel III/IV and IFRS9 data and model reporting requirements, Internal Model Risk Management (MRM) frameworks, and Audit trail, control, and segregation-of-duty requirements</li><li>Support preparation of design documentation for regulatory review, internal audit, and external audit.</li></ul>
Technical Validation &amp; Vendor Coordination<ul><li>Review and validate vendor-proposed solution architecture.</li><li>Conduct design walkthroughs, integration testing strategy, and technical feasibility assessments.</li><li>Define non-functional requirements (NFRs) &mdash; including performance, scalability, security, and DR/HA architecture.</li><li>Coordinate with IT Security, Infrastructure, and DevOps for environment setup and cloud/on-prem design validation.</li></ul>
Design Governance &amp; Documentation<ul><li>Own and maintain the Solution Design Document (SDD), Interface Control Document (ICD), Data Flow Diagrams and Entity Relationship Diagrams (ERDs), Integration &amp; Environment Architecture, Traceability Matrix (linking requirements to design components).</li><li>Support design governance reviews and present architecture to internal Architecture Review Board (ARB) for approval.</li></ul>
Skills &amp; Experience Required
Technical &amp; Functional Expertise<ul><li>Deep understanding of Credit and Enterprise Risk Management processes, exposure management, and RWA/ECL calculation principles.</li><li>Proven experience designing or implementing credit risk systems (Moody&rsquo;s RiskFoundation (IFRS9), Moody&rsquo;s CreditLens, ETL, etc.).</li><li>Strong data architecture and ETL/integration design knowledge</li><li>Understanding of risk data aggregation and reporting (BCBS 239) principles.</li><li>Familiarity with DevOps CI/CD pipelines, data lineage tools, and microservices integration is an advantage.</li></ul>
Qualifications &amp; Soft Skills<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Information Systems, Computer Science, Finance with Banking Experience.</li><li>Minimum 8&ndash;12 years of experience in banking technology, risk system design, or enterprise architecture.</li><li>Experience in end-to-end design of credit risk or enterprise risk platforms.</li><li>Professional certifications preferred: TOGAF, AWS/Azure Architect, or PMP.</li><li>Strong analytical and problem-solving mindset.</li><li>Excellent communication and stakeholder management skills across business, IT, and vendor domains.</li></ul></div>

IT Solution Architect – CRMS (Credit Risk Management Standard )

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