Hands-on Platform Engineer responsible for production coding, debugging, Kubernetes and cloud platform migrations, CI/CD, security, performance engineering, observability, and incident response. The role partners with product engineering teams, drives self-service deployments, manages patching cycles, establishes monitoring and failover strategies, conducts performance testing, leads root-cause analysis, and enables developers through workshops and pair programming.
WE ARE HIRING | Platform Engineer
Experience: 6–8 Years
Location: Bangalore
Work Mode: On-Site
CTC: ₹13–14 LPA
Role Overview:
Looking for a hands-on Platform/DevOps/SRE Engineer with strong production coding, debugging, Kubernetes, cloud-native, CI/CD, security and performance engineering experience.
Key Responsibilities:
• Embed with Product Engineering teams and participate in design, sprint and release activities.
• Troubleshoot production issues end-to-end across application and infrastructure.
• Review code/architecture and patch applications for security, upgrades and performance.
• Drive Kubernetes/platform migrations and self-service deployments.
• Establish monitoring, alerting, runbooks and failover strategies with SRE.
• Own OS, runtime, container and dependency patching cycles.
• Conduct load, performance and soak testing and implement remediation.
• Lead RCA during major incidents and improve platform architecture.
• Support developer enablement through workshops and pair programming.
Must-Have Skills:
• 5–8 years in Software Engineering, DevOps, SRE or Platform Engineering.
• Strong production coding/debugging in Go and Python.
• Ability to debug/patch Node.js/TypeScript, Java, .NET, C++, C and Dart/Flutter.
• Strong SQL: T-SQL, PL/pgSQL.
• Amazon EKS, Kubernetes, Cilium, Helm; working knowledge of GCP/GKE.
• Kong, Envoy, Istio and API Gateway/Service Mesh.
• Terraform, Terragrunt and Infrastructure-as-Code.
• GitHub Actions, Harness and CI/CD.
• Playwright, Cypress, PyTest, Testcontainers.
• K6, Locust, JMeter and performance testing.
• DynamoDB, PostgreSQL, MySQL, MongoDB, Cassandra, SQL Server.
• Kafka, Redis and distributed systems.
• OpenTelemetry, Prometheus, Grafana, logging and distributed tracing.
• Databricks, Databricks Apps and dashboards.
• SonarQube, Dependabot and JFrog.
• Experience with AI-assisted development tools such as Claude Code, GitHub Copilot and CodeRabbit.
Nice to Have:
• Mobile DevOps – Fastlane, Flutter/Dart, Swift, Kotlin.
• Backstage internal developer platform.
• Gofr / NodeFr / Zode.
• LLM integration and prompt engineering.
• AWS/GCP or Kubernetes certifications.
Education:
Education:
Bachelor’s Degree in Computer Science, Software Engineering or related field.
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