Java Fullstack Engineer

Weekday AI · Bengaluru, India · Full-time · Posted 2026-10-01

Salary: INR 1,000,000–2,300,000

Workplace: on_site

Department: Weekday's Client via platform

Description

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟭𝟬𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟮𝟯𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟭𝟬-𝟮𝟯 𝗟𝗣𝗔)

Experience: 6+ yrs

Location: Bengaluru, Karnataka, India

Job Type: Full-time

We are looking for an experienced Full-Stack Senior Product Software Engineer to design, build, and support scalable products and mission-critical systems. The role combines strong backend engineering with modern frontend development, technical ownership, system reliability, and cross-functional collaboration.

The ideal candidate will have strong expertise in Java, Spring Boot, React.js, microservices, REST APIs, relational databases, and distributed systems, along with a pragmatic approach to solving complex engineering challenges at scale.

Requirements

Key Responsibilities

• Design, develop, deploy, and support scalable microservices and user interfaces using Java and modern frontend technologies.
• Build reliable backend services using Java, Spring Boot, REST APIs, and microservice architectures.
• Develop responsive and maintainable frontend applications using React.js or other modern JavaScript frameworks.
• Translate product requirements and user stories into actionable technical solutions and engineering tasks.
• Own features throughout the complete lifecycle, from technical design and development through testing, deployment, and production support.
• Design efficient database schemas and queries for relational databases such as MySQL and PostgreSQL.
• Apply principles of loose coupling, service encapsulation, scalability, and maintainability when designing distributed systems.
• Collaborate with Product, UX, Engineering, and other stakeholders to deliver user-focused product experiences.
• Participate in architecture and technical design discussions and contribute to engineering decisions.
• Mentor and support engineers through code reviews, technical documentation, knowledge sharing, and informal guidance.
• Define and implement technical and operational metrics to measure system health and manage engineering risks.
• Improve system observability through metrics, monitoring, logging, tracing, and alerting.
• Troubleshoot production issues, perform root-cause analysis, and implement sustainable solutions.
• Participate in on-call rotations and contribute to operational excellence and system reliability.
• Champion best practices in code quality, automated testing, CI/CD, and Agile software development.
• Evaluate and use appropriate AI-powered engineering and automation tools while following organisational policies and security guidelines.
• Contribute to continuous improvements in architecture, development processes, performance, and engineering productivity.

What Makes You a Great Fit

• 6–9 years of hands-on software engineering experience in full-stack or product engineering environments.
• Strong proficiency in Java and Spring Boot, including Spring-based application development and ORM technologies.
• Proven experience with React.js or modern JavaScript frameworks such as Angular or Vue.
• Strong understanding of microservices, RESTful APIs, distributed systems, and loosely coupled architectures.
• Strong experience with relational databases such as MySQL and PostgreSQL, including schema design and query optimisation.
• Solid foundation in computer science concepts, including data structures and algorithms.
• Strong understanding of scalable, reliable, and observable production systems.
• Experience with automated testing, code reviews, Agile workflows, and modern software engineering practices.
• Strong problem-solving skills with a pragmatic approach to complex technical challenges.
• Excellent communication and collaboration skills with both technical and non-technical stakeholders.
• Experience working with cloud platforms such as AWS is an advantage.
• Familiarity with Docker, Kubernetes, and Terraform is desirable.
• Experience with data-streaming technologies such as Apache Kafka, AWS Kinesis, or SNS/SQS is a plus.
• Exposure to AdTech, programmatic advertising, or real-time bidding platforms is an advantage.
• Strong ownership mindset with the ability to work independently while contributing effectively to a collaborative engineering team.
• Willingness to mentor peers, learn new technologies, and continuously improve engineering practices.

Apply

Apply at Weekday AI

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