About the Role

We’re looking for a talented Site Reliability Engineer (SRE) to keep our systems running smoothly, reliably, and at scale. Through smart automation, deep observability, and a calm head in a crisis, you’ll help us balance speed, compliance, and stability, working alongside DevOps, Cloud, Quality Engineering, and Product teams to drive continuous improvements in performance, security, and resilience.

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

Skills

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.