Role & responsibilities :

- Strong 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
- End-to-End Production Reliability & Troubleshooting: Extensive hands-on experience supporting business-critical applications across application
- 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.
- Work Model: Must be willing to work in a 247 rotational shift workplace and work from office 5 days a week.
- Comfortable working in rotational shifts:
- 6:30 AM to 3:30 PM
- 2:00 PM to 11:00 PM
- 10:00 PM to 6:00 AM

Preferred candidate profile :Immediate to 30 days notice period.

- Updated Resume
- Current CTC
- Expected CTC
- Notice Period / Last Working Day
- Current Location
- Contact Number

📌 Production support (Hyderabad)
🏢 Data Wave Technologies India
📍 Hyderabad