{"id":1252774,"url":"https://alion.io/job/fugentex-solutions-devops-engineer","title":"DevOps Engineer","company":{"id":3806667,"name":"FuGenTex Solutions","domain":"fugentex.com","url":"https://alion.io/company/fugentex-solutions","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"WP Job Openings","truth_index":{"grade":"D","score":52,"open_postings":116,"ghost_share":0.793,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-30T05:48:23Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":16500,"max_usd":39000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":53},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"Bash","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Google GKE","optional":false},{"name":"IAM","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"Agile","optional":true},{"name":"DNS","optional":true},{"name":"Helm","optional":true},{"name":"Scrum","optional":true}],"status":"live","first_seen_at":"2026-09-14T04:36:40Z","employer_posted_date":null,"last_verified_at":"2026-09-14T04:36:40Z","board_verified":false,"closed_at":null,"days_open":46,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":46},"description":"Job summary : \n\nWe 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.\n\nThe 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.\n\nThe 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.\n\nKey Responsibilities : \n\n- Design, deploy, and manage scalable infrastructure primarily on Google Cloud Platform (GCP).\n\n- Implement and maintain CI/CD pipelines for application build, testing, and deployment.\n\n- Automate infrastructure provisioning and configuration using Infrastructure as Code (IaC).\n\n- Manage and optimize GCP compute, networking, storage, IAM, and security services.\n\n- Work with containerized applications using Docker and Kubernetes/GKE.\n\n- Implement and manage Kubernetes deployments, services, ingress, configurations, and scaling.\n\n- Develop automation scripts using Shell/Bash, Python, or similar scripting languages.\n\n- Monitor cloud infrastructure, applications, deployments, and system performance.\n\n- Troubleshoot production issues related to infrastructure, deployments, networking, and application availability.\n\n- Implement logging, monitoring, alerting, backup, and disaster-recovery practices.\n\n- Manage source control and branching strategies using Git.\n\n- Collaborate with developers, architects, security teams, and other stakeholders.\n\n- Identify opportunities to improve deployment speed, reliability, scalability, and operational efficiency.\n\n- Support AWS-based environments and services where required.\n\nRequired Skills : \n\nGCP - Mandatory : \n\n- Strong hands-on experience with Google Cloud Platform.\n\n- Google Kubernetes Engine (GKE).\n\n- Compute Engine / VM management.\n\n- VPC, subnets, firewall rules, load balancing, and cloud networking.\n\n- IAM and service accounts.\n\n- Cloud Storage.\n\n- Cloud Monitoring and Cloud Logging.\n\n- Cloud Build / CI/CD.\n\n- Artifact Registry or similar GCP container registry.\n\n- Experience with GCP security and access management.\n\nDevOps & Automation : \n\n- Strong experience with CI/CD pipelines.\n\n- Hands-on experience with Jenkins, GitLab CI, GitHub Actions, Cloud Build, or similar tools.\n\n- Experience with Terraform or other Infrastructure as Code tools.\n\n- Strong knowledge of Docker and Kubernetes.\n\n- Git and version-control practices.\n\n- Linux administration and troubleshooting.\n\n- Scripting experience in Shell/Bash and/or Python.\n\nAWS - Secondary : \n\n- Basic to moderate hands-on experience with AWS.\n\n- Understanding of services such as EC2, S3, IAM, VPC, CloudWatch, and EKS.\n\n- Ability to support or troubleshoot AWS environments when required.\n\nPreferred Qualifications : \n\n- Experience working in production enterprise cloud environments.\n\n- Experience with highly available and scalable architectures.\n\n- Knowledge of cloud security and DevSecOps practices.\n\n- Experience with monitoring and observability tools.\n\n- Experience with Helm and Kubernetes deployment strategies.\n\n- Understanding of networking, DNS, SSL/TLS, and load balancing.\n\n- Experience with Agile/Scrum development environments.\n\n- Relevant GCP or DevOps certifications would be an advantage.\n\nIdeal Candidate : \n\nThe 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.\n\nGCP expertise is the primary requirement, with an approximate 90% GCP / 10% AWS focus.\nSkills\nDevOps, Google Cloud Platform, Docker, Kubernetes, IAC Terraform, CI/CD Pipeline, Google Kubernetes Engine, Python, Shell Scripting, Cloud Storage, Monitoring 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