Lead Engineer - Java, Microservices & AI at Weekday AI

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

29 Sep, 26

Salary

4000000.0

Posted On

01 Jul, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Java, Microservices, AI, React, RESTful APIs, Distributed Systems, SQL, NoSQL, Azure, Kubernetes, CI/CD, Agile, Technical Leadership, Object-Oriented Design, Multithreading, Software Architecture

Industry

technology;Information and Internet

Description

This role is for one of the Weekday's clients Salary range: Rs 2500000 - Rs 4000000 (ie INR 25-40 LPA) Min Experience: 8+ years Location: Hyderabad, Bengaluru JobType: full-time We are looking for an experienced and innovative Lead Engineer – Java, Microservices & AI to join our engineering team. This role is ideal for a technology leader who combines deep expertise in Java-based enterprise application development with modern microservices architecture and emerging AI technologies. The ideal candidate will have strong technical leadership skills, hands-on development experience, and the ability to mentor engineering teams while driving the delivery of scalable, secure, and high-performing software solutions. As a Lead Engineer, you will collaborate with cross-functional teams including Product Management, Architecture, DevOps, QA, and UX to design, build, and deploy next-generation applications. You will also play a key role in evaluating and implementing AI-powered development practices to improve engineering productivity and product capabilities. Key Responsibilities Lead the design, development, and deployment of enterprise-grade applications using Java and microservices architecture. Architect scalable, resilient, and secure backend services while ensuring high availability and performance. Develop responsive and modern user interfaces using React to deliver seamless user experiences. Drive the adoption of AI technologies to enhance software development, automation, and intelligent application capabilities. Collaborate with product owners, architects, and engineering teams to translate business requirements into technical solutions. Review code, enforce engineering best practices, and ensure high standards of software quality through testing and continuous integration. Mentor and guide developers through technical challenges, design reviews, and knowledge-sharing sessions. Participate in architectural discussions, technology evaluations, and strategic engineering initiatives. Identify performance bottlenecks and optimize applications for scalability, reliability, and maintainability. Work closely with DevOps teams to streamline deployment pipelines and support CI/CD practices. Required SkillsMust-Have Skills Strong expertise in Java with extensive experience building enterprise-scale applications. Hands-on experience in designing and developing Microservices using modern architectural patterns. Solid experience with React for building scalable and interactive web applications. Practical knowledge of Artificial Intelligence (AI) concepts and integrating AI capabilities into enterprise applications. Strong understanding of RESTful APIs, distributed systems, multithreading, and object-oriented design principles. Experience with SQL/NoSQL databases, version control systems, and Agile development methodologies. Excellent problem-solving, debugging, analytical, and communication skills. Proven ability to lead technical teams and deliver complex projects successfully. Good-to-Have Skills Experience working with Microsoft Azure cloud services. Familiarity with GitHub Copilot and AI-assisted software development practices. Exposure to Microsoft Copilot or similar AI productivity tools. Understanding of containerization technologies, Kubernetes, and cloud-native application development. Experience implementing DevOps and CI/CD pipelines. Qualifications Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline. 8–14 years of professional software development experience with significant exposure to enterprise application development. Demonstrated experience leading engineering teams and driving technical excellence across multiple projects.

Responsibilities

Lead the design and deployment of enterprise-grade Java applications using microservices architecture and AI technologies. Collaborate with cross-functional teams to translate business requirements into scalable, secure, and high-performing software solutions.