Senior Site Reliability Engineer (AI Platforms) - Based in Abu Dhabi

🤖 Senior Site Reliability Engineer (AI Platforms) - Banking & Financial Services

📍 Abu Dhabi

💰 Competitive tax-free salary, relocation assistance, bonus & other benefits on offer

We are hiring an experienced Senior Site Reliability Engineer (SRE) to join a major financial services organisation in the UAE, supporting the reliability, scalability and operational performance of its next-generation AI platforms and applications.

This is an exciting opportunity to work within a highly technical AI engineering environment, ensuring mission-critical applications remain secure, resilient and production-ready across Microsoft Azure and AWS. We are looking for a hands-on engineer with strong expertise in cloud infrastructure, observability, incident management, automation and production reliability, ideally with exposure to AI/ML platforms and distributed systems.

Key Responsibilities

• Design, implement and maintain SLIs, SLOs, error budgets and service reliability standards across AI platforms and applications.
• Build and enhance end-to-end observability using metrics, logs, distributed tracing, dashboards and actionable alerts.
• Monitor and troubleshoot performance across AI applications, APIs, agents, models, retrieval systems and cloud infrastructure.
• Lead technical incident response, root cause analysis and post-incident reviews, implementing long-term corrective solutions.
• Engineer highly available, scalable and resilient production environments across Azure, AWS and Kubernetes.
• Conduct performance testing, load testing, capacity planning and latency optimisation.
• Validate disaster recovery, failover, backup and business continuity capabilities.
• Develop automation using Python, Bash or PowerShell to reduce manual operational tasks and accelerate recovery.
• Establish production-readiness standards, operational runbooks, monitoring strategies and support procedures.
• Collaborate closely with AI engineers, DevSecOps, platform engineering and cybersecurity teams to improve system reliability.

Key Requirements

• 8+ years of professional engineering experience, including at least 5 years in Site Reliability Engineering, Platform Engineering or DevOps supporting production environments.
• Strong hands-on experience with Microsoft Azure and/or AWS.
• Experience working with Kubernetes, cloud-native architectures and distributed systems.
• Strong knowledge of observability and monitoring tools, such as Dynatrace, Azure Monitor, Application Insights, Log Analytics or OpenSearch.
• Proven expertise in incident management, root cause analysis, performance optimisation and production troubleshooting.
• Solid understanding of SLIs, SLOs, error budgets, distributed tracing and centralised logging.
• Experience with infrastructure automation and scripting using Python, Bash or PowerShell.
• Knowledge of disaster recovery, resilience engineering, capacity planning and load testing.
• Experience working alongside infrastructure-as-code tooling such as Terraform.
• Strong communication skills and the ability to collaborate with cross-functional engineering teams.

Highly Desirable

• Experience supporting AI/ML applications, LLM platforms or AI agents in production.
• Previous experience within banking, financial services or another regulated industry.
• Azure, AWS, Kubernetes, SRE or cloud security certifications.
• Experience with FinOps, cloud cost optimisation and operational reporting.

Why Consider This Opportunity?

• Work on cutting-edge AI platforms and enterprise-scale cloud infrastructure.
• Join a major organisation investing heavily in AI and digital transformation.
• Take technical ownership of reliability, observability and production engineering.
• Collaborate with experienced AI, cloud, DevSecOps and cybersecurity professionals.
• Make a measurable impact on the resilience and performance of business-critical AI systems.

Interested?

If you're an experienced SRE / Platform Engineer / Reliability-focused DevOps Engineer with a passion for cloud engineering, automation and AI technologies, we'd love to hear from you.

Apply now or reach out directly for a confidential discussion.