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Salary
≈ $18k – $37k per year (Estimated)
Location
In office (Mumbai)
Seniority
Senior · 6+ years exp

First seen by Alion on Sep 14, 2026.

Overview
Company
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FuGenTex Solutions is a technology services company that hires cloud engineers with deep Google Cloud Platform experience. Its DevOps work covers infrastructure, automation, continuous integration and delivery, and containerised environments. The company is based in Mumbai, India.

Job summary :

We are looking for an experienced GCP DevOps Engineer with 6+ years of hands-on experience in DevOps, cloud infrastructure, automation, CI/CD, and containerized environments.

The ideal candidate should have strong expertise in Google Cloud Platform, which will account for approximately 90% of the role, with around 10% exposure to AWS.

The candidate will be responsible for designing, implementing, automating, monitoring, and maintaining highly available and scalable cloud infrastructure and deployment pipelines in a Mumbai-based onsite environment.

Key Responsibilities :

- Design, deploy, and manage scalable infrastructure primarily on Google Cloud Platform (GCP).

- Implement and maintain CI/CD pipelines for application build, testing, and deployment.

- Automate infrastructure provisioning and configuration using Infrastructure as Code (IaC).

- Manage and optimize GCP compute, networking, storage, IAM, and security services.

- Work with containerized applications using Docker and Kubernetes/GKE.

- Implement and manage Kubernetes deployments, services, ingress, configurations, and scaling.

- Develop automation scripts using Shell/Bash, Python, or similar scripting languages.

- Monitor cloud infrastructure, applications, deployments, and system performance.

- Troubleshoot production issues related to infrastructure, deployments, networking, and application availability.

- Implement logging, monitoring, alerting, backup, and disaster-recovery practices.

- Manage source control and branching strategies using Git.

- Collaborate with developers, architects, security teams, and other stakeholders.

- Identify opportunities to improve deployment speed, reliability, scalability, and operational efficiency.

- Support AWS-based environments and services where required.

Required Skills :

GCP - Mandatory :

- Strong hands-on experience with Google Cloud Platform.

- Google Kubernetes Engine (GKE).

- Compute Engine / VM management.

- VPC, subnets, firewall rules, load balancing, and cloud networking.

- IAM and service accounts.

- Cloud Storage.

- Cloud Monitoring and Cloud Logging.

- Cloud Build / CI/CD.

- Artifact Registry or similar GCP container registry.

- Experience with GCP security and access management.

DevOps & Automation :

- Strong experience with CI/CD pipelines.

- Hands-on experience with Jenkins, GitLab CI, GitHub Actions, Cloud Build, or similar tools.

- Experience with Terraform or other Infrastructure as Code tools.

- Strong knowledge of Docker and Kubernetes.

- Git and version-control practices.

- Linux administration and troubleshooting.

- Scripting experience in Shell/Bash and/or Python.

AWS - Secondary :

- Basic to moderate hands-on experience with AWS.

- Understanding of services such as EC2, S3, IAM, VPC, CloudWatch, and EKS.

- Ability to support or troubleshoot AWS environments when required.

Preferred Qualifications :

- Experience working in production enterprise cloud environments.

- Experience with highly available and scalable architectures.

- Knowledge of cloud security and DevSecOps practices.

- Experience with monitoring and observability tools.

- Experience with Helm and Kubernetes deployment strategies.

- Understanding of networking, DNS, SSL/TLS, and load balancing.

- Experience with Agile/Scrum development environments.

- Relevant GCP or DevOps certifications would be an advantage.

Ideal Candidate :

The ideal candidate should be a hands-on DevOps professional with strong GCP expertise, capable of independently managing cloud infrastructure, CI/CD pipelines, Kubernetes environments, automation, monitoring, and production troubleshooting.

GCP expertise is the primary requirement, with an approximate 90% GCP / 10% AWS focus.

Skills

DevOps, Google Cloud Platform, Docker, Kubernetes, IAC Terraform, CI/CD Pipeline, Google Kubernetes Engine, Python, Shell Scripting, Cloud Storage, Monitoring Tools

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