Cloud Native System Reliability Specialist

3 days ago

Hyderabad, Telangana, India beBeeReliability Full time ₹ 18,00,000 - ₹ 25,00,000
Reliability Engineer

We are seeking a skilled, results-driven Reliability Engineer to drive reliability, availability, and performance across our global digital product ecosystem. This role is central to ensuring a seamless and resilient experience for our users by combining deep technical expertise with operational excellence.

You will be part of a global team supporting 260+ modern cloud-native applications across consumer, commercial, supply chain, and enablement functions. Your mission: prevent incidents before they occur, ensure rapid recovery when they do, and build scalable systems that evolve with our growing business.

Key Responsibilities:

* Champion reliability and observability across mission-critical applications.
* Develop and maintain service-level indicators (SLIs), objectives (SLOs), and error budgets to measure system performance.
* Implement automated monitoring, alerting, and recovery mechanisms to reduce manual intervention and improve response times.
* Collaborate closely with engineering, platform, and operations teams to embed best practices across the development lifecycle.
* Lead and participate in incident response, root cause analysis, and postmortem reviews to drive long-term improvements.
* Continuously improve resiliency design, capacity planning, and release management in production systems.
* Influence engineering teams with best practices on cloud-native architecture and deployment strategies.

Requirements:

* 5+ years of experience in production engineering, DevOps, or SRE roles.
* Strong foundation in Linux systems, networking, and cloud platforms (Azure, AWS, or GCP).
* Hands-on experience with observability tools (e.g., AppDynamics, Prometheus, Grafana, ELK, FullStory).
* Proficiency in scripting or programming (e.g., Python, Bash, Go) and automation frameworks (e.g., Ansible, Terraform).
* Deep understanding of CI/CD pipelines, release strategies, and deployment automation.
* Experience in managing high-scale, distributed systems in cloud-native environments.
* Strong analytical skills and passion for continuous improvement.

Preferred Skills:

* Familiarity with microservices, Kubernetes, containers, and service mesh architecture.
* Exposure to incident and problem management frameworks (e.g., ITIL, RCA practices).
* Experience working in global teams supporting mission-critical applications.

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