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.  Key Responsibilities • Develop and maintain Java (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 using Testcontainers for MongoDB, PostgreSQL, Kafka, and Elasticsearch adapters — ensuring each adapter is tested independently from the domain core.  • Participate in 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 with ownership and curiosity in a fast-paced, startup environment.  Skills & Qualifications •2-4 years of backend engineering experience; Bachelor's or Master's degree in Computer Science or 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