Site Reliability Engineer
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About the Role
π€ **Site Reliability Engineer (SRE) β AI Platforms** **π Abu Dhabi** **β³ 6-month initial contract - with extensions** **Help Build AI Platforms That Never Sleep** We're partnering with one of the UAE's leading financial institutions to hire **2 Site Reliability Engineers (SREs)** to support the delivery of a next-generation **Agentic AI platform** powering the future of digital banking. This is far more than a traditional SRE role. You'll sit at the intersection of
Key Skills for This Role
Full Job Posting
Site Reliability Engineer (SRE) β AI Platforms
π Abu Dhabi
β³ 6-month initial contract - with extensions
Help Build Ai Platforms That Never Sleep
We're partnering with one of the UAE's leading financial institutions to hire
2 Site Reliability Engineers (Sres)
to support the delivery of a next-generation
Agentic AI platform
powering the future of digital banking.
This is far more than a traditional SRE role.
You'll sit at the intersection of
Site Reliability Engineering, Test Automation, Cloud Infrastructure and AI Quality Assurance
, ensuring enterprise AI services are resilient, secure, scalable and production-ready.
You'll build the automated frameworks that validate AI outputs while maintaining the reliability and performance of cloud-native applications running across Azure and AWS.
As a
Site Reliability Engineer
, you'll take ownership of
Production Readiness
across enterprise AI applications and cloud infrastructure.
You'll develop automated testing frameworks, define reliability standards, implement observability, and ensure AI-powered services consistently meet the performance, security and compliance standards expected within a highly regulated banking environment.
Working alongside AI Engineers, DevOps Engineers, Software Developers and Cloud Architects, you'll play a critical role in ensuring the platform performs reliably at scale.
Site Reliability Engineering
- Design and implement resilient, highly available cloud platforms.
- Build automated recovery and self-healing capabilities.
- Conduct chaos engineering exercises to validate system resilience.
- Perform load and stress testing to ensure applications can support banking-scale workloads.
Automated Testing & Quality Engineering
- Develop automated regression testing frameworks using Python.
- Integrate automated testing into CI/CD pipelines.
- Validate both application functionality and infrastructure deployments.
- Ensure every release meets enterprise quality standards before production.
Ai Quality & Validation
- Build automated frameworks to evaluate AI model responses.
- Validate prompt behaviour and AI-generated outputs.
- Measure AI performance using established evaluation techniques and custom benchmarks.
- Help improve the reliability and consistency of enterprise AI services.
Observability & Monitoring
- Define Service Level Indicators (SLIs) and Service Level Objectives (SLOs).
- Develop dashboards and proactive monitoring solutions.
- Configure intelligent alerting to identify issues before they impact customers.
- Analyse platform health, reliability and performance trends.
Security & Compliance
- Automate security testing and compliance validation.
- Ensure AI services comply with banking security, privacy and data residency requirements.
- Support continuous platform governance and operational excellence.
Cloud Optimisation
- Identify inefficient infrastructure and unnecessary cloud spend.
- Improve platform performance while optimising operational costs.
- Support FinOps initiatives across AI workloads.
Essential Skills & Experience
- Strong commercial experience in Site Reliability Engineering, Platform Engineering or Test Automation
- Expert Python development skills
- Experience with automation frameworks including
PyTest, Selenium or Robot Framework
- Hands-on experience with Azure and/or AWS cloud platforms
- Experience building automated CI/CD testing pipelines
- Strong understanding of cloud networking, scalability and reliability
- Experience with infrastructure validation and Infrastructure-as-Code concepts
- Knowledge of monitoring and observability tools including:
- Azure Monitor
- AWS CloudWatch
- Grafana
- Prometheus
- Experience with performance testing tools such as
- K6 or JMeter
Ai Experience
- We're looking for engineers who have worked on
- AI, Generative AI, Conversational AI or Agentic AI
- projects and understand how to evaluate AI system performance.
- Experience with any of the following would be highly beneficial:
- Prompt Engineering
- LLM evaluation
β’ Retrieval-Augmented Generation (RAG)
- AI benchmarking
- ROUGE/BLEU scoring
- AI quality evaluation frameworks such as
DeepEval, Ragas or LangSmith
- Nice to Have
- Bash scripting
- GitHub Actions
- Terraform (validation and governance)
- Serverless cloud architectures
- FinOps or cloud cost optimisation
- Experience working within highly regulated industries such as banking or financial services
- Why Join?
- This is a chance to work on one of the most ambitious enterprise AI programmes in the Middle East.
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