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Senior Platform Engineer — Infrastructure & DevOps

Anaqua -
Hyderabad, Telangana

Quick apply

Job details

Full-time
12 days ago

Qualifications

CI/CD
Go
Cloud architecture
Node.js
Kubernetes
Load balancing
Git
English
Java
Bash (Unix shell)
SQL
RBAC
Firewall
PostgreSQL
Terraform
Continuous integration
RabbitMQ
DNS
B2B
APIs
Kafka
AI
gRPC
GitLab
Python
Identity & access management
SDLC

Full 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.

Quick apply

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