Site Reliability Engineer (SRE)
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Key skills for this role
Key Skills for This 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 observability across metrics, logs, traces, dashboards, and alerts using Dynatrace, Prometheus, Grafana, and ELK.
- Use Dynatrace Davis AI or an equivalent AIOps platform for anomaly detection, predictive alerting, and proactive remediation.
- Lead on-call triage, root-cause analysis, blameless postmortems, and actionable incident follow-ups.
- Improve deployment safety with canary and blue-green deployments, rollout and rollback strategies, and readiness reviews.
- Optimize microservices reliability, scalability, resilience, capacity, performance, and operational cost.
- Automate runbooks, remediation scripts, proactive health checks, and self-healing workflows.
- Embed reliability gates in CI/CD pipelines and maintain operational documentation, compliance, and security alignment.
Experience and Qualifications
- 5+ years of SRE or DevOps experience with large-scale, high-availability systems.
- Experience across banking, fintech, e-commerce, or other data-intensive digital ecosystems.
- Bachelor’s degree in Computer Science or equivalent technical experience.
- Strong Linux and performance troubleshooting experience.
- Proven Terraform and Infrastructure as Code expertise.
- Proficiency with Kubernetes and container orchestration in microservices environments.
- AWS experience is preferred; Azure or GCP exposure is advantageous.
- Experience with AIOps, anomaly detection, predictive alerting, and AI/ML-driven reliability automation.
- Practical CI/CD experience with 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.
Ideal Candidate
- Organized, structured, and meticulous in approach.
- Experienced in cross-functional collaboration with distributed teams.
- Analytical and skilled at troubleshooting complex production systems.
- Calm and composed under pressure and capable of leading high-impact incidents.
- Proactive in identifying issues and driving preventive improvements.
- Passionate about AI-driven automation, observability, reliability engineering, cloud-native systems, and microservices.
- Collaborative, adaptable, and comfortable working in a fast-paced, regulated environment.
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