DEVOPS TECHNICAL LEAD - Azure DevOps

Site Reliability Engineer (SRE)

About The Role

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What You Will Be Doing

• Define and implement SLIs / SLOs and error budgets for business-critical digital banking
• services.
• Build actionable observability (metrics, logs, traces, dashboards, and alerts) using Dynatrace,
• Prometheus, Grafana, and ELK, while reducing alert fatigue.
• Leverage AI-driven insights and anomaly detection (Dynatrace Davis AI or equivalent AIOps
• platform) to proactively predict and resolve reliability issues before impact.
• Lead incident management ? from on-call triage and root-cause analysis to blameless
• postmortems with actionable follow-ups.
• Improve deployment safety with robust rollout / rollback strategies, canary and blue-green
• deployments, and production readiness reviews.
• Support and optimize microservices-based architectures, ensuring service reliability,
• scalability, and inter-service resilience.
• Conduct capacity planning, performance tuning, and resilience testing, optimizing for both
• reliability and cost efficiency.
• Automate operational toil ? from runbooks and remediation scripts to proactive health checks
• and self-healing workflows.
• Collaborate with DevOps to embed reliability gates and validations into CI / CD pipelines
• (GitHub Actions, Jenkins, GitLab CI / CD or Azure DevOps).
• Own and evolve the observability and AIOps stack, driving intelligent automation and predictive
• alerting capabilities.
• Maintain high-quality documentation, playbooks, and operational standards across
• environments.
• Ensure operational compliance and security alignment with internal controls and regulatory
• standards.
• Analyze system performance, availability, and cost data to continually optimize operations.
• Provide reliability support and escalation guidance for critical production systems during major
• incidents.

Experience And Qualifications

• 5+ years of experience in SRE or DevOps roles, building and managing large-scale,
• high-availability systems across banking, fintech, e-commerce, or other data-intensive digital
• ecosystems.
• Bachelor?s degree in Computer Science or equivalent technical experience.
• Strong experience with Linux environments and performance troubleshooting.
• Proven expertise in Terraform and Infrastructure as Code (IaC) methodologies.
• Proficiency with Kubernetes and container orchestration in microservices environments.
• Hands-on experience with AWS (preferred); exposure to Azure or GCP is an advantage.
• Deep knowledge of Dynatrace (AIOps, Davis AI), Prometheus, Grafana, and the ELK stack.
• Experience implementing AI / ML-driven reliability or automation solutions (AIOps, anomaly
• detection, predictive alerting).
• Practical understanding of CI / CD pipelines (GitHub Actions, Jenkins, GitLab CI / CD or Azure
• DevOps).
• Experience with Kafka, RabbitMQ, Redis, Aurora, and RDS databases.
• Strong scripting or programming skills in Python, Bash, or Go.

The Ideal Candidate

• Organized, structured, and meticulous in approach.
• Experienced in cross-functional collaboration and working with distributed teams.
• Strong analytical mindset with excellent troubleshooting skills for complex production systems.
• Calm and composed communicator under pressure, capable of leading during high-impact
• incidents.
• Proactive problem-solver who anticipates issues and drives preventive improvements.
• Passionate about AI-driven automation, observability, and reliability engineering.
• Continuously learning, keeping up-to-date with cloud-native, microservices, and SRE best
• practices.
• A collaborative and adaptable team player who thrives in a fast-paced, regulated environment
• and is passionate about building reliable, scalable systems that empower digital banking innovation.