Platform Engineer

Vrinda International

Bengaluru

On-site

INR 2,600,000 - 4,800,000

Full time

5 days ago
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Job summary

Vrinda International seeks a hands-on Platform/DevOps/SRE Engineer with strong production coding, debugging, Kubernetes, cloud-native, CI/CD, security and performance engineering experience to join on-site in Bengaluru.

You will embed with product engineering teams, troubleshoot production issues end-to-end, drive Kubernetes migrations and self-service deployments, establish monitoring and runbooks, and participate in incident RCA to improve platform resilience.

Qualifications

  • 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.
  • Amazon EKS, Kubernetes, Cilium, Helm; working knowledge of GCP/GKE.
  • Terraform, Terragrunt and Infrastructure‑as‑Code.
  • GITHub Actions, Harness and CI/CD.
  • K6, Locust, JMeter and performance testing.
  • 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.

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.

Skills

Go
Python
Node.js
TypeScript
Java
.NET
C++
C
Dart/Flutter
Kubernetes
EKS
GKE
CI/CD
Terraform
Helm
Istio
API Gateway
Prometheus
Grafana
OpenTelemetry
Kafka
Redis
Databricks
SRE
CI
Security

Education

Bachelor's Degree in Computer Science, Software Engineering or related field

Tools

GitHub Actions
Harness
K6
Locust
JMeter
JFrog

Job description

Job Description

Experience: 6–8 Years

Work Mode: On-Site

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.
  • 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.
  • K6, Locust, JMeter and performance testing.
  • 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:

  • LLM integration and prompt engineering.
  • AWS/GCP or Kubernetes certifications.

Education:

Bachelor’s Degree in Computer Science, Software Engineering or related field.

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