Gravity Engineering Services

3 weeks ago

Bhubaneshwar, India Gravity Engineering Services Pvt. Ltd Full time

Job Overview :

We are hiring a seasoned Site Reliability Engineer with strong experience in building and operating scalable systems on Google Cloud Platform (GCP). You will be responsible for ensuring system availability, performance, and security in a complex microservices ecosystem, while collaborating cross-functionally to improve infrastructure reliability and developer Responsibilities :

- Design and maintain highly available, fault-tolerant systems on GCP using SRE best practices.

- Implement SLIs/SLOs, monitor error budgets, and lead post-incident reviews with RCA documentation.

- Automate infrastructure provisioning (Terraform/Deployment Manager) and CI/CD workflows.

- Operate and optimize Kubernetes (GKE) clusters including autoscaling, resource tuning, and HPA policies.

- Integrate observability across microservices using Prometheus, Grafana, Stackdriver, and OpenTelemetry.

- Manage and fine-tune databases (MySQL/Postgres/BigQuery/Firestore) for performance and cost.

- Improve API reliability and performance through Apigee (proxy tuning, quota/policy handling, caching).

- Drive container best practices including image optimization, vulnerability scanning, and registry hygiene.

- Participate in on-call rotations, capacity planning, and infrastructure cost Skills :

- Minimum 8 years of total experience, with at least 3 years in SRE, DevOps, or Platform Engineering roles.

- Strong expertise in GCP services (GKE, IAM, Cloud Run, Cloud Functions, Pub/Sub, VPC, Monitoring).

- Advanced Kubernetes knowledge: pod orchestration, secrets management, liveness/readiness probes.

- Experience in writing automation tools/scripts in Python, Bash, or Go.

- Solid understanding of incident response frameworks and runbook development.

- CI/CD expertise with GitHub Actions, Cloud Build, or similar to Have :

- Apigee hands-on experience: API proxy lifecycle, policies, debugging, and analytics.

- Database optimization: index tuning, slow query analysis, horizontal/vertical sharding.

- Distributed monitoring and tracing: familiarity with Jaeger, Zipkin, or GCP Trace.

- Service Mesh (Istio/Linkerd) and secure workload identity configurations.

- Exposure to BCP/DR planning, infrastructure threat modeling, and compliance & Certification Requirements :

- B.Tech / M.Tech / MCA in Computer Science or equivalent.

- GCP Professional Cloud DevOps Engineer / Kubernetes Administrator certification (preferred).

(ref:hirist.tech)

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