The company is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems. We are seeking a talented Site Reliability Engineer (SRE) to join our technical squad and own the ultimate production readiness, resilience, and operational health of our cutting-edge AI solutions.
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What You’ll Do
- Implement load testing, fault-injection techniques, and self-healing automation to ensure web/mobile backends and AI microservices easily sustain banking-scale traffic.
- Build Python-driven, CI/CD-integrated regression test suites that validate application logic, data pipelines, and Infrastructure as Code (IaC) states.
- Define and track critical Service Level Indicators (SLIs) and Objectives (SLOs). Set up real-time telemetry, dashboards, and proactive alerting to catch performance degradation before users do.
- Integrate specialized AI evaluation harnesses (e.g., DeepEval, Ragas) into deployment pipelines to benchmark model accuracy, hallucinations, and retrieval performance (RAG).
- Automate security scans and privacy checks to satisfy strict banking data residency standards, while monitoring compute efficiency to eliminate redundant cloud spend.
Requirements
- High proficiency in Python (mandatory) and Bash scripting, alongside automation test frameworks like PyTest, Selenium, or Robot Framework.
- Strong hands-on experience with Azure or AWS, focusing on cloud networking, auto-scaling topologies, containerized environments, and serverless reliability.
- Modern Tooling Command:
- CI/CD & IaC: GitHub Actions, Azure DevOps, and Terraform (reading/validating state).
- Performance & Load: K6 or JMeter.
- Observability: Azure Monitor, AWS CloudWatch, Grafana, or Prometheus.
- Solid grasp of prompt engineering, RAG architectures, and model evaluation metrics (ROUGE/BLEU scores, LLM benchmarks, LangSmith/Ragas).
- Experience operating in financial services, banking, or highly regulated enterprise environments where zero downtime and data privacy are non-negotiable.
It would also be great if you have:
- Experience managing production Kubernetes clusters (AKS/EKS), service meshes, and container security scanners.
- Familiarity with UAE Central Bank regulatory guidelines, NESA security compliance, and data residency mandates.
- Formal industry credentials such as AWS Certified SysOps Administrator, Microsoft Certified: Azure Administrator Associate, Certified Kubernetes Administrator (CKA), or SRE certifications.
Benefits
- Competitive salary
- Comprehensive personal health insurance
- Visa Sponsorship for the successful individual
- Professional development and certification support
- Subscription reimbursement relating to your role
- Opportunity to work on cutting-edge AI projects
- Monthly Employee Incentive program
- Career advancement opportunities in a rapidly growing AI company
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving the company's success in delivering transformative AI solutions to our clients.
