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GCP SRE

Open 29d
This position is no longer accepting applications(closed Aug 17, 2026).

Summary

Designs and maintains scalable, secure cloud infrastructure on GCP using Kubernetes, Jenkins, and SRE practices, with a focus on automation, monitoring, and reliability.

Role Overview

We are seeking a highly skilled DevOps / SRE Engineer to design, implement, and maintain scalable, secure, and reliable infrastructure. The ideal candidate should have strong expertise in GCP Cloud, Kubernetes, Jenkins pipelines, Git, Jboss/Wildfly and Linux, with a solid understanding of automation, monitoring, and CI/CD practices.

Key Responsibilities

  • Design, implement, and manage cloud infrastructure on Google Cloud Platform (GCP).
  • Build and maintain CI/CD pipelines using Jenkins and other automation tools.
  • Deploy, manage, and scale applications using Kubernetes (GKE preferred).
  • Manage source code and workflows using Git-based repositories (GitHub/GitLab/Bitbucket).
  • Ensure system reliability, performance, and scalability using SRE principles.
  • Automate provisioning and configuration using Infrastructure as Code (IaC) tools.
  • Monitor system health, logs, and metrics using tools like Prometheus, Grafana, Stackdriver (Cloud Monitoring).
  • Troubleshoot production issues and provide root cause analysis.
  • Maintain and optimize Linux-based systems and environments.
  • Work closely with development teams to improve deployment frequency and system stability.
  • Implement security best practices across infrastructure and pipelines.

Core Technical Skills

Cloud & Infrastructure

  • Strong hands-on experience with Google Cloud Platform (GCP):
  • Compute Engine, GKE, Cloud Storage, IAM, VPC
  • Experience with Infrastructure as Code tools like:
  • Terraform / Deployment Manager

Containerization & Orchestration

  • Deep expertise in:
  • Docker
  • Kubernetes (K8s) – deployment, scaling, networking, troubleshooting

CI/CD & Automation

  • Strong experience with:
  • Jenkins (Pipeline as Code)
  • CI/CD pipeline design and optimization
  • Familiarity with tools like:
  • ArgoCD / Spinnaker (nice to have)

Version Control

  • Proficiency in:
  • Git (branching, merging strategies, pull requests)

Operating Systems

  • Strong knowledge of:
  • Linux (Ubuntu, RHEL, CentOS) system administration
  • Shell scripting (Bash, Python preferred)

Monitoring & Logging

  • Experience with:
  • Prometheus, Grafana
  • Google Cloud Monitoring / Logging
  • ELK stack (Elasticsearch, Logstash, Kibana)

SRE Practices

  • Implement SLIs, SLOs, SLAs
  • Incident management and postmortem analysis
  • Reliability, observability, and performance tuning
  • Error budgeting and capacity planning

Nice-to-Have Skills

  • Experience with microservices architecture
  • Knowledge of service mesh (Istio, Linkerd)
  • Exposure to security tools (Vault, IAM roles, secrets management)
  • Experience with scripting/programming languages like:
  • Python / Go

Soft Skills

  • Strong problem-solving and analytical mindset
  • Excellent collaboration and communication skills
  • Ability to work in an agile environment
  • Ownership and accountability for production systems

Education

  • Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)

Certifications (Optional but Preferred)

  • Google Cloud Professional DevOps Engineer
  • Google Associate Cloud Engineer
  • Certified Kubernetes Administrator (CKA)

Key Deliverables

  • Highly available, scalable infrastructure
  • Efficient CI/CD pipelines with minimal downtime
  • Reliable monitoring & incident response systems
  • Continuous improvement of system performance and deployment processes

See also

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