{"id":684679,"url":"https://alion.io/job/anaqua-senior-platform-engineer-infrastructure-devops","title":"Senior Platform Engineer — Infrastructure & DevOps","company":{"id":669003,"name":"Anaqua","domain":"anaqua.com","url":"https://alion.io/company/anaqua","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":{"grade":"C","score":58,"open_postings":13,"ghost_share":0.692,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-01T06:10:25Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17000,"max_usd":40000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":53},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Apache Kafka","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"DNS","optional":false},{"name":"Envoy","optional":false},{"name":"FinOps","optional":false},{"name":"Gateway API","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Gitflow","optional":false},{"name":"GitLab","optional":false},{"name":"GitLab CI","optional":false},{"name":"Go","optional":false},{"name":"Google GKE","optional":false},{"name":"gRPC","optional":false},{"name":"Helm","optional":false},{"name":"IAM","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Least Privilege","optional":false},{"name":"OWASP","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"RabbitMQ","optional":false},{"name":"SBOM","optional":false},{"name":"SLSA","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Trunk-Based Development","optional":false}],"status":"live","first_seen_at":"2026-05-29T00:00:00Z","employer_posted_date":"2026-05-29","last_verified_at":"2026-11-01T07:59:15Z","board_verified":true,"closed_at":null,"days_open":156,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":156},"description":"Senior Platform Engineer - Infrastructure & DevOps\nEmbed with our platform team to own the hosting, CI/CD, security and operations layer the rest of engineering builds on.\nPosition Overview:\nAnaqua is hiring a Senior Infrastructure & DevOps Engineer in Hyderabad to embed with our platform team. Together with the team you will own the hosting, CI/CD, security and operations layer the rest of engineering depends on - from GCP infrastructure and multi-region GKE to GitLab pipelines, edge security, secret management, observability and incident response for the new Anaqua / RightHub stack. Hands-on infra. Hands-on automation. Java is not part of this role - your delivery is the platform underneath.\nYou'll love this job if you like to:\nOwn the GCP infrastructure with the team - GKE clusters, multi-region setup, global load balancing, autoscaling, VPC networking, DNS, firewall rules and IAM.\nBuild and maintain GitLab CI/CD pipelines and shared CI templates that every service team consumes - build, scan, deploy, promote across Dev / QA / Staging / Pre-Prod / Production.\nHelp shape the company-wide standards for how services get deployed, secured, monitored and rolled back.\nOperate and harden the cluster - node pool upgrades, namespace / RBAC / resource-quota design, rolling updates, health probes, base images and supply-chain security.\nRun the platform security stack - gateway policies, API-key and JWT issuance, secret rotation, OWASP and dependency scanning, workload identity, IAM least-privilege.\nOwn observability and incident response on GCP - structured logging, metrics, dashboards, SLIs / SLOs / error budgets, alerting, post-mortems and on-call runbooks.\nBuild internal developer tooling - CLIs, self-service workflows and golden-path automation that make the next service easy to ship.\nWhat you will need to be successful:\nStrong production ownership on GCP - operating real workloads, not just standing up demos. GCP is the cloud we run on.\nKubernetes in production (GKE) - deployments, Helm, namespaces, RBAC, resource quotas, rolling updates, health and readiness probes, multi-region setups and rollbacks.\nTerraform as a daily tool - modular, reusable modules with remote state, drift detection and clean management of IAM, networking, Pub/Sub, Cloud SQL and secrets.\nCI/CD pipelinedepth - GitLab CI (or equivalent) at scale; reusable templates, fast feedback loops, security and dependency scans as pipeline stages, deploy promotion across Dev / QA / Staging / Pre-Prod / Production.\nGit workflowfluency - GitFlow or trunk-based branching, tagging and release strategies that fit a multi-service org.\nCloud networking depth- VPC design, load balancing (global and regional), DNS, firewall rules and network security groups.\nHosting and application security ownership - gateway and edge policies, secret rotation, OWASP and dependency scanning, workload identity, IAM least-privilege hygiene.\nProduction observability and reliability on GCP - structured logs, metrics, dashboards, alerting, SLIs / SLOs / error budgets, on-call rotations, post-mortems.\nPerformance work - load testing, capacity planning and operational tuning of services under real traffic.\nOperational PostgreSQL- migrations under load, backups, restores, replication basics, query plans and indexing.\nAsynchronous messaging on GCPPub/Sub- topology, subscriptions, dead-letter handling and operational tuning. Pub/Sub is our primary message bus.\nScripting and automation - Bash plus one of Python or Go for internal tooling and platform automation.\nExcellent written and spoken English; comfortable working across time zones with engineers in EU and the US.\nAI-first mindset\nTreats AI tooling as a daily collaborator, not a gimmick - Claude Code, Cursor, Copilot in the daily workflow.\nBuilds platform tooling, IaC modules, runbooks, dashboards and structured logs that both humans and AI agents can work against.\nHas a view on AI in the SDLC - agent-assisted code review, AI-generated runbooks and post-mortems, codegen scaffolding for CI templates and Terraform modules.\nSensible about secrets, audit trails and data boundaries when AI integrations touch internal systems.\nProfessional skills and mindset\nEnd-to-end on your work - designs, ships, monitors and debugs.\nWrites - design docs, RFCs, runbooks. Decisions get documented, not just made.\nPragmatic - ships value before perfect abstractions.\nRaises the bar with peers, not by gate-keeping; happy to share knowledge across the team.\nComfortable making calls under ambiguity and changing them when the data says so.\nStrong customer and business empathy - connects platform work back to product impact.\nCollaborates well across time zones with engineers in EU and the US - opinions held lightly, decisions made together.\nA plus, not required\nGCP Professional Cloud Architect or Professional Cloud DevOps Engineer certification.\ngRPC, Envoy or GKE Gateway API operating experience.\nBroader messaging and streaming exposure - Kafka, RabbitMQ or similar - for breadth alongside our GCP Pub/Sub usage.\nCost / FinOps practice on GCP - budgets, alerts, rightsizing.\nSupply-chain security - SBOM, image signing, SLSA, container scanning at scale.\nBackground in IP management, legal-tech or regulated B2B 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