DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems. Based in the UAE, we partner with organizations across diverse sectors—with a deep-rooted expertise in Financial Services and Banking—to bridge the gap between complex data and actionable business strategy. 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.
🏢 About DeepLight AI
DeepLight AI is an AI and data consultancy based in the UAE, specializing in transforming corporate landscapes through bespoke, high-impact intelligent systems. We partner with organizations across diverse sectors, with a focus on Financial Services and Banking, to bridge the gap between complex data and actionable business strategy. Our mission is to deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring innovation is both scalable and secure.
🎯 The Role
As our Site Reliability Engineer, you will bridge application quality, MLOps, and cloud resilience. You will build the automated test suites that validate complex LLM and RAG model outputs, engineer chaos-resilient cloud environments, and establish bulletproof observability frameworks—ensuring our applications deliver lightning-fast, banking-grade performance under heavy enterprise traffic.
✅ Key Responsibilities
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.
📌 Required Qualifications
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.
⭐ Desirable Experience
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
🛂 Visa & Eligibility
Visa sponsorship is available for the successful candidate.
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