Software Engineer

This role is for one of the Weekday's clients

Min Experience: 3+ years

Location: Chennai, Tamil Nadu, India
JobType: full-time

We are looking for a Software Engineer II to join one of our Scrum teams building AI-native, event-driven services for automotive retail intelligence. This is a core contributor role for engineers with 2-4 years of experience who are ready to take end-to-end ownership of features, grow their distributed systems skills, and work in a high-velocity environment that demands code quality, hexagonal architecture discipline, and genuine curiosity about AI-native engineering.

Requirements

Key Responsibilities

Develop andmaintainJava (Spring Boot 3.x) backend services - implementing domain logic, REST APIs, Kafka event consumers/producers, and MongoDB/PostgreSQL persistence adapters following hexagonal architecture patterns.

Build features across the full backend slice: domain model, port interface, adapter implementation, unit tests, and integration tests.

Write integration tests usingTestcontainersfor MongoDB, PostgreSQL, Kafka, and Elasticsearch adapters - ensuring each adapter is tested independently from the domain core.

Participatein design discussions, architecture reviews, and code reviews - actively learning from Staff and Senior engineers.

Investigate and resolve bugs, performance issues, and Kafka consumer lag across services.

Write clean, well-documented, testable code with consistent application of hexagonal design principles.

Contribute to golden dataset test scenario design under the guidance of the Product Manager and SDET.

Operate withownership and curiosity in a fast-paced, startup environment.

Skills & Qualifications

2-4 years of backend engineering experience; Bachelor's orMaster's degree in Computer Scienceor a related field.

Solid Java fundamentals: object-oriented design, Spring Boot, REST API implementation, and unit testing (JUnit 5).

Working knowledge of at least one of: MongoDB, PostgreSQL, or Kafka - with willingness to develop depth across all three.

Understanding of hexagonal architecture concepts (ports & adapters) - ability to implement adapters under the guidance of senior engineers.

Familiarity with cloud environments (AWS), containerization (Docker), and CI/CD pipelines.

Strong problem-solving skills, attention to code quality, and ability to receive and apply feedback quickly.

Collaborative mindset and clear communication - comfortable asking questions and flagging blockers early.

Good to Have

Exposure to Kafka producers and consumers in a production or learning context.

Familiarity with Elasticsearch for search and analytics use cases.

Curiosity about AI/ML systems - awareness of what scoring models, embeddings, and LLMs do at a systems level.

Exposure to Redis or Aerospike for caching patterns.

Perks & Benefits

Competitive compensation and generous stock options.

Medical insurance coverage.

Work with some of the brightest minds from Silicon Valley's most dominant and successful companies.

Must-have skills

Java, Spring Boot, Kafka

Good-to-have skills

Artificial Intelligence, Agentic AI, Microservices