{"id":2617382,"url":"https://alion.io/job/intraedge-infrastructure-engineer","title":"Infrastructure Engineer","company":{"id":62138,"name":"IntraEdge","domain":"intraedge.com","url":"https://alion.io/company/intraedge","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"middle","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Pune, India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":11500,"max_usd":33000,"period":"year","method":"role_seniority_country_cell","sample_n":25},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"DNS","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitOps","optional":false},{"name":"Google GKE","optional":false},{"name":"Grafana","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"Least Privilege","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prometheus","optional":false},{"name":"Pulumi","optional":false},{"name":"Terraform","optional":false},{"name":"BigQuery","optional":true},{"name":"FinOps","optional":true},{"name":"Google BigQuery","optional":true},{"name":"HIPAA","optional":true},{"name":"SOC 2","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-10-15T11:27:36Z","employer_posted_date":null,"last_verified_at":"2026-10-15T11:27:36Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Location : Remote - Pune\n\nJob Type : Full-Time\n\nShift Timing : 2:00 PM - 11:00 PM\n\nJob Overview :\n\nWe are looking for an Infrastructure Engineer to design, provision, secure, and maintain scalable cloud infrastructure supporting data engineering and AI/ML workloads.\n\nThe ideal candidate should have hands-on experience with GCP, Terraform, Kubernetes, cloud networking, CI/CD automation, and infrastructure monitoring.\n\nKey Responsibilities :\n\n- Design, provision, and manage cloud infrastructure using Infrastructure as Code tools such as Terraform or Pulumi.\n\n- Deploy and manage containerized applications and data workloads on Kubernetes, preferably Google Kubernetes Engine (GKE).\n\n- Configure Kubernetes deployments, namespaces, autoscaling, resource quotas, health checks, and resource limits.\n\n- Design and maintain cloud networking components, including VPCs, subnets, firewall rules, Cloud NAT, and private connectivity.\n\n- Implement IAM policies, service account governance, secrets management, and least-privilege access controls.\n\n- Build and maintain CI/CD and GitOps workflows using GitHub Actions, Argo CD, Terraform Cloud, or equivalent tools.\n\n- Monitor infrastructure performance, availability, and resource utilization using Cloud Monitoring, Prometheus, and Grafana.\n\n- Implement infrastructure observability, alerting, backup, disaster recovery, and high-availability strategies.\n\n- Optimize cloud resource utilization and costs through right-sizing, budget alerts, and cost attribution.\n\n- Maintain consistent infrastructure configurations across development, staging, and production environments.\n\n- Collaborate with Data Engineering, AI/ML, Security, and Platform teams to ensure reliable and compliant infrastructure.\n\nRequired Qualifications :\n\n- 4 - 6 years of experience in cloud infrastructure, DevOps, platform engineering, or infrastructure automation.\n\n- Hands-on experience with GCP; 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