Java Backend developer

Virtusa; Andhra Pradesh; On-site; INR 1,000,000 - 1,800,000; Full time

Job summary

Virtusa is seeking a capable Java/Spring Boot developer to build and maintain production services and REST APIs in a microservices environment on AWS. You will design clear endpoints, implement security basics, and contribute to tests, CI/CD, and on-call rotations.

You should be comfortable with Postgres, Redis, DynamoDB, and messaging via SQS/SNS, and be willing to grow Python tooling and AI-assisted coding practices with team support.

Qualifications

• Production experience in Java and Spring Boot with Spring Web, Data, DI, and Spring Security basics.
• REST API design fundamentals including resource naming, HTTP semantics, status codes, error contracts, and pagination.
• SQL with Postgres or equivalent; joins, indexes, transactions.
• Security awareness: input validation, protecting secrets; OWASP top-10 literacy.
• OAuth2/OIDC basics: token flows, access vs refresh tokens.
• Distributed systems awareness: retries, timeouts, idempotency.
• Unit and integration testing with JUnit and Spring Boot Test.
• Git, code review, and CI/CD basics.
• AWS basics or willingness to learn quickly.
• Willingness to use Python when needed.
• Desire to learn new capability areas as platform grows.
• Active use of AI coding agents in day-to-day work.

Responsibilities

• Build and maintain production services in Java + Spring Boot — REST APIs, background workers, and event consumers.
• Design clean REST endpoints with contracts, structured errors, OpenAPI docs, and versioned response shapes.
• Work with Postgres, DynamoDB, Redis, and SQS/SNS on AWS; implement authN/authZ and tenant scoping.
• Ship with tests and CI/CD; participate in code review and on-call for services the team operates.
• Move into Python for tooling for scripting or services when the work requires it — with team support.
• Use AI coding agents and MCP tools actively as part of your workflow — always with review.
• Code you write, tests you write, features you ship. On‑call responsibility for services the team operates.

Skills

Java

Spring Boot

REST APIs

AWS

CI/CD

Git

JUnit

OpenAPI

OAuth2

Postgres

Redis

SQS/SNS

Python

Tools

AWS

OpenAPI tooling

CI/CD pipelines

PostgreSQL tooling

Git

Docker

Job description

Roles & Responsibilities

• Build and maintain production services in Java + Spring Boot — REST APIs, background workers, and event consumers that expose capability APIs.
• Design clean REST endpoints with clear contracts, structured errors, OpenAPI docs, and versioned response shapes.
• Work with Postgres, DynamoDB, Redis, and SQS/SNS on AWS; implement authN/authZ and tenant scoping.
• Ship with tests and CI/CD; participate in code review and on-call for services the team operates.
• Move into Python for tooling, scripts, or services when the work requires it — with team support if you are ramping up.
• Use AI coding agents and MCP tools actively as part of your workflow — always with review.
• Code you write, tests you write, features you ship. On‑call responsibility for services the team operates.

Must-have skills

• Production experience in Java and Spring Boot — not just tutorials. Comfortable with Spring Web, Spring Data, dependency injection, config management, and Spring Security basics.
• REST API design fundamentals resource naming, HTTP semantics, status codes, error contracts, pagination.
• SQL and relational database experience — Postgres or equivalent, joins, indexes, transactions.
• Basic security awareness input validation, safe handling of secrets and credentials, no secrets in code or logs, OWASP top-10 literacy.
• Basic OAuth2 / OIDC awareness what tokens are, how a login flow works at a high level, what an access token vs. refresh token is for.
• Basic distributed-systems awareness what retries, timeouts, and idempotency mean and why they matter.
• Unit and integration testing (JUnit + Spring Boot Test).
• Git, code review, and CI/CD basics.
• AWS basics — or genuine willingness and ability to pick it up quickly.
• Willingness to work in Python when the work requires it — even if your Python is not yet strong.
• Willingness and appetite to learn new capability areas as the platform grows.
• Active use of AI coding agents in day-to-day work.

Nice to have

• Python at production depth — real Python services you have shipped, not just scripts. FastAPI or Flask familiarity.
• Python for ML- and data-adjacent work — data pipelines, embedding services, feature stores.
• Reactive programming with Spring WebFlux / Reactor — especially valuable for streaming or high-concurrency capabilities.