Live opening · Posted 1 day ago

DevOps Engineer - GCP

CareValidate · Work From Home
Instahyre 4-8 yrs
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyCareValidate
LocationWork From Home
Experience4-8 yrs
SourceInstahyre
Listed1 day ago

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About the role

Description supplied by the original job listing.

We are looking for a DevOps Engineer with strong GCP expertise to build, automate, and scale cloud infrastructure and deployment pipelines. The ideal candidate should have hands-on experience in Kubernetes (GKE), Infrastructure as Code, CI/CD pipelines, and cloud security practices, with a strong focus on reliability, automation, and system scalability.
Responsibilities:
Design, implement, and manage cloud infrastructure on GCP (GKE, Cloud Run, IAM, Cloud Logging).
Build and maintain scalable Kubernetes-based deployments.
Develop and manage Infrastructure as Code (IaC) using Terraform.
Create and optimize CI/CD pipelines using tools like Jenkins / Azure DevOps.
Automate operational workflows using Python / Shell scripting.
Implement monitoring, logging, and alerting systems (Grafana, Cloud Logging).
Ensure high availability, performance, and system reliability.
Manage application lifecycle (deployments, patching, upgrades).
Collaborate with engineering teams to enable faster and secure releases.
Implement DevSecOps practices including IAM, secrets management, and security scanning.
Requirements:
Strong problem-solving mindset with an automation-first approach.
Experience managing production-grade distributed systems.
Ability to work in a remote, fast-paced environment.
Ownership mindset with a focus on system reliability and scalability.
Must Have Skills (Strict Requirements):
Strong hands-on experience with GCP (MANDATORY), especially GKE (Google Kubernetes Engine), IAM and Service Accounts, Cloud Run / Cloud Logging
Experience with Kubernetes and Docker (containerization + orchestration).
Expertise in Terraform (Infrastructure as Code).
Solid experience in CI/CD pipelines (Jenkins / Azure DevOps / Git-based workflows).
Solid scripting experience in Python / Shell.
Understanding of monitoring and observability tools (Grafana, logging systems).
Good to Have:
Exposure to multi-cloud environments (AWS / OCI).
Experience in microservices architecture and backend systems.
Familiarity with Java / Spring Boot-based applications.
Knowledge of security best practices (IAM, secrets management, policy-as-code).
Experience with serverless or migration projects (monolith to microservices).
Preferred Qualifications:
GCP Certifications (e. g., Professional Cloud DevOps Engineer / Associate Cloud Engineer).
Experience handling large-scale Kubernetes workloads (50+ services is a plus).

Experience
4-8 yrs

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