Senior Software Engineer at Weekday AI

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

13 Sep, 26

Salary

0.0

Posted On

15 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Java, Spring Boot, Apache Kafka, Microservices Architecture, RESTful APIs, Distributed Systems, SQL, NoSQL, CI/CD, Object-Oriented Programming, Design Patterns, Artificial Intelligence, LLM, Cloud Platforms, Containerization, Agile/Scrum

Industry

technology;Information and Internet

Description

This role is for one of the Weekday's clients Min Experience: 5 years Location: Chennai JobType: full-time We are seeking a highly skilled and motivated Senior Software Engineer with 5–8 years of experience in designing, developing, and delivering scalable enterprise applications. The ideal candidate should have strong expertise in Java, Spring Boot, and Apache Kafka, with a solid understanding of distributed systems, microservices architecture, and modern software development practices. Exposure to Artificial Intelligence (AI) technologies and AI-powered application development will be an added advantage. As a Senior Software Engineer, you will play a key role in building high-performance backend services, collaborating with cross-functional teams, and driving technical excellence throughout the software development lifecycle. You will be expected to contribute to architecture discussions, mentor junior developers, and ensure the delivery of robust, secure, and maintainable solutions. Key Responsibilities Design, develop, and maintain scalable backend applications using Java and Spring Boot. Build and optimize microservices-based architectures with a focus on performance, reliability, and maintainability. Develop event-driven systems and messaging solutions using Apache Kafka. Collaborate with product managers, architects, and engineering teams to translate business requirements into technical solutions. Write clean, efficient, and well-tested code following industry best practices. Participate in code reviews and contribute to improving engineering standards and development processes. Troubleshoot production issues, identify root causes, and implement effective solutions. Optimize application performance, scalability, and security across distributed systems. Mentor junior engineers and actively contribute to knowledge sharing within the team. Stay updated with emerging technologies and evaluate opportunities to integrate AI capabilities into products where appropriate. Required SkillsMust-Have Strong proficiency in Java with hands-on experience in enterprise application development. Extensive experience with Spring Boot, RESTful APIs, and microservices architecture. Solid expertise in Apache Kafka for event streaming and asynchronous communication. Strong understanding of object-oriented programming principles and design patterns. Experience with SQL/NoSQL databases and performance optimization techniques. Familiarity with version control systems, CI/CD pipelines, and modern development workflows. Excellent debugging, analytical, and problem-solving skills. Strong communication and collaboration abilities in cross-functional environments. Good-to-Have Exposure to Artificial Intelligence (AI) concepts and AI-enabled application development. Experience integrating AI/ML services or working with LLM-powered applications and APIs. Familiarity with cloud platforms and containerized deployments. Knowledge of monitoring, logging, and observability tools. Preferred Qualifications Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. 5–8 years of professional software development experience. Experience working in Agile/Scrum development environments. Demonstrated ability to design scalable, high-availability systems and contribute to architectural decisions. Passion for continuous learning, innovation, and delivering high-quality software solutions.

Responsibilities

Design and develop scalable backend applications and event-driven systems using Java, Spring Boot, and Apache Kafka. Collaborate with cross-functional teams to translate business requirements into technical solutions while mentoring junior developers.