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HomeCompaniesAnaquaSenior Platform Engineer — Infrastructure & DevOps

Senior Platform Engineer — Infrastructure & DevOps

Anaqua · Hyderabad, India, 500081, India · Remote · Active · BambooHR

Job facts

FieldValue
CompanyAnaqua
TitleSenior Platform Engineer — Infrastructure & DevOps
Normalized title-
Department / teamEngineering
LocationHyderabad, India
Work modelRemote / Remote
Employment typeFull Time
Salary-
Statusactive
ATS providerBambooHR
Posted / first seen2026-05-29 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

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PageWhat it containsOpen
Company jobsActive postings from Anaqua.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through BambooHR.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Hyderabad.Open
Department jobsActive postings in Engineering.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyAnaqua
Source2d9da621-83de-4fe6-8ea1-507ed206bac9
ATS providerBambooHR

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.

Full job record

Job IDb9b9fae6348c859a3a446dd57a2448e6a437bfd9
Org ID7b51a274-c687-45ac-9e3f-4f770108a6f7
Source ID2d9da621-83de-4fe6-8ea1-507ed206bac9
Board ID2d9da621-83de-4fe6-8ea1-507ed206bac9
Providerbamboohr
Provider Job Key923
TitleSenior Platform Engineer — Infrastructure & DevOps
Normalized Title
Statusactive
Activeyes
Location TextHyderabad, India, 500081, India
DepartmentEngineering
Team
Employment Typefull_time
Workplace Typeremote
Remote Policyremote
Country
RegionIndia
CityHyderabad
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://anaqua.bamboohr.com/careers/923
Apply URLhttps://anaqua.bamboohr.com/careers/923
First Seen At2026-05-30 05:45:11Z
Last Seen At2026-06-06 19:52:46Z
Last Checked At2026-06-06 19:52:46Z
Last Changed At2026-05-30 05:45:11Z
Inactive At
Source Posted At2026-05-29 00:00:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=anaqua/date=2026-06-06/2026-06-06T19-52-44-359Z-3b20fcaf933c8714270ac89c2b806bac906cb01302189ca0a3ae120a72d3ecf0.json
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Parsed Structured
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Extensions
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    "description": "<p><span style=\"font-weight: bold\">Senior Platform Engineer — Infrastructure &amp; DevOps</span></p>\n<p><br></p>\n<p><em>Embed with our platform team to own the hosting, CI/CD, security and operations layer the rest of engineering builds on.</em></p>\n<p><br><br></p>\n<p><span style=\"font-weight: bold\">Position Overview:</span></p>\n<p>Anaqua is hiring a Senior Infrastructure &amp; 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.</p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">You'll love this job if you like to:</span></p>\n<ul>\n<li>Own the GCP infrastructure with the team — GKE clusters, multi-region setup, global load balancing, autoscaling, VPC networking, DNS, firewall rules and IAM.</li>\n<li>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.</li>\n<li>Help shape the company-wide standards for how services get deployed, secured, monitored and rolled back.</li>\n<li>Operate and harden the cluster — node pool upgrades, namespace / RBAC / resource-quota design, rolling updates, health probes, base images and supply-chain security.</li>\n<li>Run the platform security stack — gateway policies, API-key and JWT issuance, secret rotation, OWASP and dependency scanning, workload identity, IAM least-privilege.</li>\n<li>Own observability and incident response on GCP — structured logging, metrics, dashboards, SLIs / SLOs / error budgets, alerting, post-mortems and on-call runbooks.</li>\n<li>Build internal developer tooling — CLIs, self-service workflows and golden-path automation that make the next service easy to ship.<br></li>\n</ul>\n<p><span style=\"font-weight: bold\">What you will need to be successful:</span></p>\n<ul>\n<li>Strong production ownership on GCP — operating real workloads, not just standing up demos. GCP is the cloud we run on.</li>\n<li><span style=\"font-weight: bold\">Kubernetes </span>in production (GKE) — deployments, Helm, namespaces, RBAC, resource quotas, rolling updates, health and readiness probes, multi-region setups and rollbacks.</li>\n<li><span style=\"font-weight: bold\">Terraform </span>as a daily tool — modular, reusable modules with remote state, drift detection and clean management of IAM, networking, Pub/Sub, Cloud SQL and secrets.</li>\n<li><span style=\"font-weight: bold\">CI/CD pipeline</span> 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.</li>\n<li><span style=\"font-weight: bold\">Git workflow</span> fluency — GitFlow or trunk-based branching, tagging and release strategies that fit a multi-service org.</li>\n<li><span style=\"font-weight: bold\">Cloud networking depth</span> — VPC design, load balancing (global and regional), DNS, firewall rules and network security groups.</li>\n<li>Hosting and <span style=\"font-weight: bold\">application security </span>ownership — gateway and edge policies, secret rotation, OWASP and dependency scanning, workload identity, IAM least-privilege hygiene.</li>\n<li>Production observability and reliability on <span style=\"font-weight: bold\">GCP </span>— structured logs, metrics, dashboards, alerting, SLIs / SLOs / error budgets, on-call rotations, post-mortems.</li>\n<li>Performance work — load testing, capacity planning and operational tuning of services under real traffic.</li>\n<li><span style=\"font-weight: bold\">Operational PostgreSQL</span> — migrations under load, backups, restores, replication basics, query plans and indexing.</li>\n<li><span style=\"font-weight: bold\">Asynchronous messaging on GCP</span> <span style=\"font-weight: bold\">Pub/Sub</span> — topology, subscriptions, dead-letter handling and operational tuning. 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