This role is for one of the Weekday's clients
Min Experience: 6 years
Location: Chennai
JobType: full-time
We are seeking a Staff Backend Engineer to design and build scalable, AI-native backend services that power customer intelligence, campaign orchestration, and attribution at automotive retail scale. This role is the critical technical anchor — defining hexagonal architecture patterns, owning service boundaries, driving AI integration patterns, and setting the engineering bar for the entire team.
Requirements
Key Responsibilities
• Architect Java (Spring Boot 3.x) microservices using hexagonal architecture — defining clean domain cores, port interfaces for persistence (MongoDB, PostgreSQL, Cosmos DB), and adapter implementations for Kafka, Elasticsearch, Redis/Aerospike, and external APIs.
• Own core domain models and service boundaries end-to-end: from initial hexagonal design through production operation, Kafka event contracts, and iterative enhancement.
• Build scalable, secure REST APIs and robust Kafka-based event-driven pipelines that consume and produce events across multiple source systems.
• Design MongoDB document schemas and PostgreSQL relational schemas for high-throughput, multi-tenant workloads — with deep attention to indexing strategy, TTL, and tenant isolation patterns.
• Design Cosmos DB data models for high-throughput event and state storage — partition key strategy, consistency levels, and TTL configuration.
• Design and implement durable campaign execution workflows using Temporal.
• Establish and own AI-native integration patterns: MCP tool registration, scoring model serving contracts, LLM gateway integration, and agentic workflow design.
• Identify and resolve performance bottlenecks across services, Kafka pipelines, data layers, and Elasticsearch query performance.
• Ensure all systems meet reliability, scalability, and observability standards.
• Mentor senior, mid-level, and junior engineers — setting and consistently raising the engineering bar.
Skills & Qualifications
• 8+ years of backend engineering experience with a strong track record delivering production-grade Java systems.
• Deep expertise in hexagonal architecture (ports & adapters) — proven ability to design domain cores fully decoupled from infrastructure layers.
• Strong Java 21 and Spring Boot 3.x expertise with event-driven, microservices-first design.
• Strong experience with Kafka — consumer groups, partition design, offset management, idempotent consumers, and event-driven service integration.
• Proven experience with MongoDB: document schema design, indexing, aggregation pipelines, and multi tenant isolation patterns.
• Strong PostgreSQL experience: complex schema design, query optimization, migration management.
• Experience with Cosmos DB or equivalent globally distributed key-value stores: partition key design, consistency tuning, high-throughput read/write patterns.
• Solid experience with Elasticsearch: index design, search query optimization, relevance tuning.
• Experience with Redis or Aerospike for high-throughput caching and session/state management.
• Strong understanding of distributed systems: service boundaries, data consistency, idempotency, retries, and circuit breaking on AWS (EKS, MSK).
Preferred Skills
• Experience with Temporal for durable workflow orchestration.
• Familiarity with MCP tool registration patterns and agentic platform integration.
• Working knowledge of Python for AI/ML pipeline integration (scoring models, feature serving, LLM gateway patterns).
• Prior experience building data platforms, real-time analytics systems, or AI-native SaaS products.
Must-have skillsJava, Kafka, Artificial Intelligence
Good-to-have skillsAgentic AI, Event Driven, AI Platform
