- Large-Scale Distributed Systems: Robust experience supporting highly distributed, high-availability systems spanning multi-datacenter architectures, Kubernetes/Pods, load balancers, databases, middleware, messaging platforms and batch processing, with the ability to isolate and troubleshoot failures across interconnected components.

- End-to-End Production Reliability &
- Troubleshooting: Extensive hands-on experience supporting business-critical applications across application, infrastructure, middleware, databases, messaging platforms, APIs and batch workloads, including health/performance monitoring, alert triage, incident management and end-to-end troubleshooting across complex production environments.

- Incident, Problem &

- Reliability Management: Proven experience handling critical production incidents and TechLines, performing deep-dive RCA, identifying systemic and recurring failures, and implementing permanent corrective actions to improve availability, MTTD and MTTR while reducing operational toil.

- Deployment &

- Release Engineering: Extensive hands-on experience executing production deployments through CI/CD pipelines, preferably GitHub Actions, using Blue-Green and Canary deployment strategies, including deployment validation, failure troubleshooting, rollback/recovery, and minimizing service disruption.

- Change &

- Resilience Management: Hands-on experience planning and executing critical production changes, including Disaster Recovery (DR), security patching, certificate renewals, password/credential rotations, application/infrastructure failovers and resiliency exercises, including pre/post-change validation and recovery.

- Linux &

- Cloud Operations:



Strong hands-on expertise in Linux server administration, infrastructure troubleshooting, and cloud/platform operations.

Experience with Pivotal Cloud Foundry (PCF) and Google Cloud Platform (GCP) is preferred.

- SRE Practices: Strong understanding and practical application of SLIs, SLOs, SLAs, Error Budgets, Burn Rate Alerts and SRE KPIs, with a strong focus on service availability, reliability and operational efficiency.

- Observability &

- APM: Extensive hands-on experience building and operating end-to-end observability across MELT (Metrics, Events, Logs and Traces) using APM, monitoring, logging and distributed tracing tools, including dashboards, alerting, performance analysis and proactive issue detection.

- AI-Assisted Operations &

- AIOps: Experience leveraging AI/Generative AI for operational monitoring, troubleshooting, log analysis, incident investigation and automation. Hands-on AIOps experience involving event correlation, alert noise reduction, anomaly detection, predictive analytics and intelligent incident management is preferred.

- High-Volume Transaction Systems: Experience supporting high-throughput, high-availability transaction processing platforms, preferably business-critical financial, payment, authentication/login or similar systems, with a strong focus on performance, resilience and availability.

- Operational Readiness &

- Production Ownership: Strong production ownership mindset with experience in health checks, release readiness, deployment validation, capacity planning, DR preparedness and operational reviews, with the ability to drive issues through diagnosis, recovery and permanent resolution.

📌 Site Reliability Engineer/ Production support (Hyderabad)
🏢 Ifinsol Global
📍 Hyderabad