Description

Job Description

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

Key Skills

Education

Any Graduate