Cloud Reliability Engineer

About the Company

Role - Cloud Reliability Engineer

Location - PAN India

About the Role

Job Requirements

Responsibilities

• Define and maintain service SLIs, SLOs, error budgets, reliability dashboards, and operational scorecards.
• Design, build, and operate secure, highly available, scalable, and cost-conscious cloud platforms and services.
• Implement observability covering metrics, logs, traces, synthetic checks, business signals, alerting, and diagnostic context.
• Improve alert quality, reduce noise, and establish actionable escalation and incident-response processes.
• Lead or support incident response, root-cause analysis, corrective actions, and blameless postmortems.
• Automate provisioning, deployment, configuration, diagnostics, remediation, maintenance, and recovery activities.
• Implement self-healing, automated rollback, progressive delivery, canary, blue-green, and safe deployment practices.
• Operate and optimize Kubernetes workloads, autoscaling, workload placement, resource limits, health checks, and availability controls.
• Perform load, stress, soak, failover, chaos, and disaster-recovery testing to identify weaknesses before production impact.
• Partner with development teams to embed reliability, observability, security, and operability into the software lifecycle.
• Support cloud migration readiness, dependency assessment, baseline measurement, and post-migration reliability validation.
• Conduct capacity planning, performance tuning, resource optimization, and FinOps-aligned cost improvement.
• Maintain runbooks, architecture and support documentation, audit evidence, operational standards, and knowledge assets.
• Mentor engineers and promote SRE, automation, continuous learning, and shared operational ownership.

Qualifications

• 6-12 years of experience in Cloud Engineering, Site Reliability Engineering, DevOps, Platform Engineering, or Production Engineering.
• Hands-on experience operating production workloads on AWS, Azure, and/or GCP.
• Strong knowledge of SLIs, SLOs, error budgets, availability, latency, throughput, saturation, and reliability risk.
• Experience with Prometheus, Grafana, Dynatrace, CloudWatch, Azure Monitor, Google Cloud Monitoring, OpenTelemetry, ELK, Datadog, or comparable tools.
• Hands-on experience with Docker, Kubernetes, and managed services such as EKS, AKS, or GKE.
• Experience with Terraform or CloudFormation and reproducible environment provisioning.
• Strong CI/CD experience using Jenkins, GitHub Actions, GitLab CI, Azure DevOps, or equivalent tools.
• Proficiency in Python, Bash, Shell, PowerShell, or Go for automation, diagnostics, and operational tooling.
• Knowledge of incident response, root-cause analysis, blameless postmortems, problem management, and on-call practices.
• Experience with resilience patterns such as timeouts, retries, circuit breakers, bulkheads, graceful degradation, and automated rollback.
• Knowledge of high availability, disaster recovery, capacity planning, performance testing, chaos engineering, and failover validation.
• Understanding of IAM, least privilege, secrets, encryption, vulnerability remediation, auditability, and DevSecOps controls.

Required Skills

• Cloud migration and modernization reliability validation.
• Distributed microservices, API platforms, messaging, or high-volume transactional systems.

Preferred Skills

• Cloud migration and modernization reliability validation.
• Distributed microservices, API platforms, messaging, or high-volume transactional systems.