DevOps SRE Engineer - Observability & Automation

Job Title

Urgent requirement for Dev Ops SRE Engineer - Observability & Automation required for our banking clients in Abu Dhabi, UAE.

• 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 the ELK stack, 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 reliability and cost efficiency.
• Automate operational toil—runbooks, remediation scripts, proactive health checks, and self‑healing workflows.
• Collaborate with Dev Ops to embed reliability gates and validations into CI/CD pipelines (Git Hub Actions, Jenkins, Git Lab CI/CD, Azure Dev Ops).
• 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.

• 5+ years of experience in SRE or Dev Ops 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 (Git Hub Actions, Jenkins, Git Lab CI/CD, Azure Dev Ops).
• Experience with Kafka, Rabbit
  
  MQ, Redis, Aurora, and RDS databases.
• Strong scripting or programming skills in Python, Bash, or Go.

• Kafka, Rabbit
  
  MQ, Redis, RDS/Aurora
• Observability (metrics, logs, traces, dashboards, alerts)
• Kubernetes, Docker, container orchestration, microservices support
• Terraform, IaC
• Linux environments, performance troubleshooting
• Banking domain experience

Automation, reliability, Dev Ops.