Job Summary

Job Description — Integration & Platform Engineer

Reports to: Solution Architect – Full Stack

Employment type: Full time

Location: Offshore

Experience level: Senior — 8–12 years

Summary

Handles everything the AI-accelerated build process structurally cannot: real infrastructure, live credentials, production systems, and genuine external integrations — across two separate runtimes, the Java/Spring Boot core and the standalone Python/Node Assistant service. Where the Solution Architect directs what gets built, this role makes it actually run in production, on both sides of that service boundary.

Key Responsibilities

Key Responsibilities

Provision and manage cloud infrastructure (Docker, Terraform/IaC) for both the JVM core and the separate Assistant service — each with its own container/deployment profile

Own credential and secrets management across both services; enforce least-privilege access, particularly for anything touching production

Build and maintain two CI/CD pipelines — Maven/Gradle for the Java core, a separate pipeline for the Python/Node Assistant service — including the Angular frontend's build integration

Execute and validate database migrations against production PostgreSQL instances

Own the inter-service boundary: service-to-service authentication, network policy, and latency/reliability monitoring between the Java core and the Assistant service

Configure JVM-aware infrastructure: container memory limits sized for heap/GC behavior, startup/warm-up characteristics under load — distinct from tuning a Node service

Wire and maintain live integrations: ticketing/test-management systems (Jira, ADO, qTest)



and the organization's AI generation engine

Configure identity/auth (OAuth2/OIDC) for both services and the enterprise identity provider

Own observability across both runtimes, including correlated distributed tracing — a request crossing from the Java core into the Assistant service needs a shared trace ID, or debugging becomes guesswork

Partner with the Solution Architect on anything generated code assumes about the runtime environment, flagging gaps before they become production incidents

Skill Requirements

Required Qualifications

5–8 years in DevOps, platform engineering, or infrastructure-focused backend engineering

Hands-on experience with Docker, Terraform (or equivalent IaC), and at least one major cloud provider (Azure or AWS)

Strong background in CI/CD pipeline design and secrets/credential management — comfortable running multiple pipelines for different language runtimes in parallel

Working knowledge of JVM operational characteristics (heap/GC tuning, container sizing) alongside general container/infra skills

Experience with distributed tracing/observability across service boundaries, not just single-service logging

Experience integrating third-party enterprise systems via real APIs

Working knowledge of OAuth2/OIDC and enterprise identity provider setup

Must Have Skill

Docker,Terraform,Kubernetes,Grafana,Devops,Cloud technologies

Good to Have Skill

Other Requirements

Preferred

Prior experience operating a polyglot system (more than one language/runtime in production)

Prior experience in a platform supporting a regulated domain (healthcare, financial services)

Familiarity with pgvector or similar

📌 Senior Technical Architect (India)
🏢 HCLTech
📍 India