Senior Platform Engineer — Infrastructure & DevOps anaqua · Hyderabad · DevOps & Release Pay not stated 4mo ago

Devopsroles

Hyderabad

On-site

INR 2,500,000 - 5,000,000

Full time

14 days+

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Job summary

Anaqua is seeking a Senior Infrastructure & DevOps Engineer in Hyderabad to embed with our platform team. You will own hosting, CI/CD, security and the operations layer that the rest of engineering relies on—covering GCP infrastructure and multi-region GKE, GitLab pipelines, edge security, secret management, observability and incident response for the new Anaqua/RightHub stack.

You’ll work hands-on with infra and automation, shaping platform tooling and runbooks, and collaborating across time

Qualifications

  • Strong production ownership on GCP and real workloads.
  • Kubernetes in production (GKE) with deployments, namespaces, RBAC and rollbacks.
  • Terraform as a daily tool for IAM, networking, Pub/Sub and secrets.
  • CI/CD depth with GitLab CI at scale, reusable templates and security scans.
  • Git workflow and multi-service orchestration.
  • Cloud networking depth with VPC, load balancing, DNS and security groups.
  • Observability and incident response on GCP with SLIs/SLOs.
  • Scripting and automation with Bash and Python or Go.

Responsibilities

  • Own hosting, CI/CD, security and operations layer for the platform.
  • Manage GCP infrastructure including multi-region GKE and global load balancing.
  • Build and maintain GitLab pipelines and shared CI templates across services.
  • Shape deployment, security, monitoring and rollback standards across teams.
  • Operate and harden the cluster with node pools, RBAC, quotas and base images.
  • Run the platform security stack: policies, secrets rotation, OWASP scans and workload identity.
  • Own observability and incident response with dashboards, alerts and runbooks.

Skills

GCP infrastructure
GKE production
CI/CD pipelines
Kubernetes management
RBAC and IAM
Security hardening
Observability
Post-mortems

Tools

GitLab CI
Terraform
Helm
GKE

Job description

Senior Platform Engineer — Infrastructure & DevOps

Embed with our platform team to own the hosting, CI/CD, security and operations layer the rest of engineering builds on.

Position Overview:

Anaqua 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.

You’ll love this job if you like to:
  • Own the GCP infrastructure with the team — GKE clusters, multi-region setup, global load balancing, autoscaling, VPC networking, DNS, firewall rules and IAM.
  • Build 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.
  • Help shape the company-wide standards for how services get deployed, secured, monitored and rolled back.
  • Operate and harden the cluster — node pool upgrades, namespace / RBAC / resource-quota design, rolling updates, health probes, base images and supply-chain security.
  • Run the platform security stack — gateway policies, API-key and JWT issuance, secret rotation, OWASP and dependency scanning, workload identity, IAM least-privilege.
  • Own observability and incident response on GCP — structured logging, metrics, dashboards, SLIs / SLOs / error budgets, alerting, post-mortems and on-call runbooks.
  • Build internal developer tooling — CLIs, self-service workflows and golden-path automation that make the next service easy to ship.
What you will need to be successful:
  • Strong production ownership on GCP — operating real workloads, not just standing up demos. GCP is the cloud we run on.
  • Kubernetes in production (GKE) — deployments, Helm, namespaces, RBAC, resource quotas, rolling updates, health and readiness probes, multi-region setups and rollbacks.
  • Terraform as a daily tool — modular, reusable modules with remote state, drift detection and clean management of IAM, networking, Pub/Sub, Cloud SQL and secrets.
  • CI/CD pipeline depth — 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.
  • Git workflow fluency — GitFlow or trunk-based branching, tagging and release strategies that fit a multi-service org.
  • Cloud networking depth — VPC design, load balancing (global and regional), DNS, firewall rules and network security groups.
  • Hosting and application security ownership — gateway and edge policies, secret rotation, OWASP and dependency scanning, workload identity, IAM least-privilege hygiene.
  • Production observability and reliability on GCP — structured logs, metrics, dashboards, alerting, SLIs / SLOs / error budgets, on-call rotations, post-mortems.
  • Performance work — load testing, capacity planning and operational tuning of services under real traffic.
  • Operational PostgreSQL — migrations under load, backups, restores, replication basics, query plans and indexing.
  • Asynchronous messaging on GCP Pub/Sub — topology, subscriptions, dead-letter handling and operational tuning. Pub/Sub is our primary message bus.
  • Scripting and automation — Bash plus one of Python or Go for internal tooling and platform automation.
  • Excellent written and spoken English; comfortable working across time zones with engineers in EU and the US.
AI-first mindset
  • Treats AI tooling as a daily collaborator, not a gimmick — Claude Code, Cursor, Copilot in the daily workflow.
  • Builds platform tooling, IaC modules, runbooks, dashboards and structured logs that both humans and AI agents can work against.
  • Has 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.
  • Sensible about secrets, audit trails and data boundaries when AI integrations touch internal systems.
Professional skills and mindset
  • End-to-end on your work — designs, ships, monitors and debugs.
  • Writes — design docs, RFCs, runbooks. Decisions get documented, not just made.
  • Pragmatic — ships value before perfect abstractions.
  • Raises the bar with peers, not by gate-keeping; happy to share knowledge across the team.
  • Comfortable making calls under ambiguity and changing them when the data says so.
  • Strong customer and business empathy — connects platform work back to product impact.
  • Collaborates well across time zones with engineers in EU and the US — opinions held lightly, decisions made together.
A plus, not required
  • GCP Professional Cloud Architect or Professional Cloud DevOps Engineer certification.
  • gRPC, Envoy or GKE Gateway API operating experience.
  • Broader messaging and streaming exposure — Kafka, RabbitMQ or similar — for breadth alongside our GCP Pub/Sub usage.
  • Cost / FinOps practice on GCP — budgets, alerts, rightsizing.
  • Supply-chain security — SBOM, image signing, SLSA, container scanning at scale.
  • Background in IP management, legal-tech or regulated B2B SaaS.
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