JobHabor
Menu

Lead Sr. Full stack Developer

Weekday AI · Bengaluru, Karnataka, India · Onsite

Strong hiring record · median 13 days open

100100

Hiring signal

Open

Nothing unusual about this posting's history. · How we score

Did you apply?

Lead Sr. Full stack Developer at Weekday AI. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲

𝗥𝘀 𝟭𝟱𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟮𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟭𝟱-𝟮𝟬 𝗟𝗣𝗔)

Experience

6+ yrs

Location

Bengaluru, Karnataka, India

Job Type

Full-time

We are looking for an experienced Lead Senior Associate – Full-Stack Java to design, develop, and support scalable enterprise applications using Java, Spring Boot, modern frontend frameworks, and distributed systems.

The role combines hands-on software engineering, technical ownership, system design, mentoring, and cross-functional collaboration. The ideal candidate will be comfortable building mission-critical applications, solving complex engineering challenges, and contributing to reliable, observable, and maintainable software platforms.

Requirements

Key Responsibilities

  • Design, develop, and support scalable Java-based microservices and modern user interfaces.
  • Build enterprise applications using Java, Spring Boot, Spring frameworks, and ORM technologies.
  • Develop responsive and maintainable frontend applications using ReactJS or other modern JavaScript frameworks.
  • Design and implement RESTful APIs, integrations, and distributed application components.
  • Translate product requirements and user stories into actionable technical solutions.
  • Take ownership of engineering deliverables throughout the complete software development lifecycle.
  • Design loosely coupled, scalable, maintainable, and resilient microservices architectures.
  • Work with relational databases such as MySQL and PostgreSQL, including schema and query design.
  • Improve system observability through appropriate metrics, monitoring, logging, and alerting.
  • Define and monitor technical and operational metrics to assess system health and manage risks.
  • Troubleshoot production issues, perform root-cause analysis, and implement sustainable solutions.
  • Participate in on-call rotations and support production systems when required.
  • Conduct code reviews and promote clean coding, automated testing, and engineering best practices.
  • Mentor and support other engineers through technical guidance, documentation, and knowledge sharing.
  • Collaborate with Product, UX, Engineering, QA, DevOps, and other stakeholders.
  • Contribute to Agile planning, estimation, delivery, and continuous improvement initiatives.
  • Evaluate and use AI-assisted engineering tools responsibly in accordance with organisational policies.
  • Contribute to cloud-native and modern DevOps practices across application development and deployment.

What Makes You a Great Fit

  • 6+ years of professional software engineering experience with strong hands-on development expertise.
  • Strong proficiency in Java, Spring Boot, and related Spring technologies.
  • Experience developing enterprise applications using microservices and distributed systems.
  • Strong experience with RESTful APIs, application integrations, and scalable backend services.
  • Hands-on experience with ReactJS or modern frontend frameworks such as Angular or Vue.
  • Strong understanding of MySQL, PostgreSQL, database schema design, and query optimisation.
  • Solid foundation in data structures, algorithms, object-oriented programming, and software design principles.
  • Experience with automated testing, code reviews, CI/CD, Agile development, and modern engineering practices.
  • Strong understanding of application observability, monitoring, metrics, alerting, and production support.
  • Experience with AWS or other cloud platforms is preferred.
  • Familiarity with Docker, Kubernetes, and Terraform is an advantage.
  • Experience with Apache Kafka, AWS Kinesis, SNS/SQS, or other data-streaming and messaging technologiesis desirable.
  • Exposure to advertising technology, programmatic advertising, or real-time bidding platforms is an advantage.
  • Strong problem-solving, communication, mentoring, and stakeholder-management skills.
  • Ability to work independently while collaborating effectively across technical and non-technical teams.
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline, or equivalent professional experience.

More jobs at Weekday AI

All 124

Similar roles