Staff Software Engineer

Posted 6 Days Ago
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Chennai, Tamil Nadu, IND
In-Office
Senior level
Artificial Intelligence • HR Tech • Professional Services • Software
The Role
Lead design and implementation of scalable Java Spring Boot microservices using hexagonal architecture. Own domain models, service boundaries, and Kafka event contracts. Build resilient REST APIs and Kafka pipelines, design schemas for MongoDB/Postgres/Cosmos DB, implement Temporal workflows, integrate AI/LLM model serving, and mentor engineering teams while ensuring reliability, scalability, and observability.
Summary Generated by Built In

This role is for one of the Weekday's clients

Min Experience: 8 years

Location: Chennai

JobType: full-time

We are seeking a Staff Backend Engineer to design and develop scalable, AI-native backend services that support customer intelligence, campaign orchestration, and attribution on the scale of automotive retail. In this role, you will act as a crucial technical leader—defining hexagonal architecture patterns, overseeing service boundaries, spearheading AI integration strategies, and elevating engineering standards throughout the entire team.


Requirements

Key Responsibilities

• Design and develop Java microservices (Spring Boot 3.x) following hexagonal architecture principles — creating well-defined domain cores, port interfaces for persistence (MongoDB, PostgreSQL, Cosmos DB), and adapter implementations for Kafka, Elasticsearch, Redis/Aerospike, and external APIs.

• Take full ownership of core domain models and service boundaries from conception through production deployment, including hexagonal design, Kafka event contracts, and ongoing improvements.

• Develop scalable and secure REST APIs alongside resilient Kafka-based event-driven pipelines that handle event consumption and production across various source systems.

• Craft MongoDB document schemas and PostgreSQL relational schemas optimized for high-throughput, multi-tenant environments, with a focus on indexing strategies, TTL configurations, and tenant isolation techniques.

• Design Cosmos DB data models to support high-throughput event and state storage, considering partition key strategies, consistency settings, and TTL management.

• Architect and implement reliable campaign execution workflows using Temporal.

• Define and maintain AI-native integration patterns, including MCP tool registration, scoring model serving contracts, LLM gateway integration, and agentic workflow design.

• Diagnose and address performance bottlenecks across services, Kafka pipelines, data layers, and Elasticsearch query performance.

• Ensure all systems adhere to standards for reliability, scalability, and observability.

• Mentor engineers at various levels—senior, mid-level, and junior—helping to elevate engineering excellence consistently.

Skills Required

  • 8+ years of experience
  • Java
  • Spring Boot 3.x
  • Design and implement hexagonal architecture and microservices
  • Kafka (event-driven pipelines and event contracts)
  • MongoDB (document schema design, TTL, indexing)
  • PostgreSQL (relational schema design, indexing)
  • Cosmos DB (partitioning, consistency, TTL strategies)
  • Elasticsearch (query performance tuning)
  • Redis or Aerospike
  • Design and develop secure, scalable REST APIs
  • Temporal (campaign/workflow orchestration)
  • Experience integrating AI/LLM systems, model serving and LLM gateway patterns
  • Performance diagnosis across services, data layers, and pipelines
  • Mentoring and leadership of engineering teams
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The Company
0 Employees
Year Founded: 2021

What We Do

Weekday is an AI-powered recruitment platform that helps startups hire top-tier engineering and product talent. By leveraging a massive database of white-collar professionals and advanced outreach tools, the company streamlines the hiring process through automated sourcing, AI-driven resume screening, and white-glove contingency services. Their mission is to modernize recruitment by enabling companies to discover and engage passive candidates efficiently, ensuring high-quality hires for critical roles.

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