Lead Engineer – R01571315
- Category
- Digital Engineering
- Required Skills
- See official employer job description
- Experience
- Lead
- Openings
- 1
- Apply by
- November 28, 2026
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- Numeric salary range: Not disclosed — confirm before proceeding
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Check my fit & prepare →Job requirements
- Lead end-to-end architectural solutions for enterprise-grade applications.
- Design, develop, and maintain high quality Java-based applications using modern frameworks such as Spring Boot, Spring Cloud.
- Define and drive architecture for microservices, distributed systems, event-driven patterns and cloud-native workloads.
- Provide strategic leadership in designing and implementing robust architectures for microservices, distributed systems, event-driven solutions, ensuring scalability, resilience and alignment with enterprise standards.
- Collaborate with product owners and engineering teams to translate business needs into technical solutions.
- Work with RESTful APIs, event-driven architectures and message brokers (Kafka, RabbitMQ).
- Contribute to architectural decisions, code reviews and best practices.
- Provide technical leadership, mentor engineering teams and promote clean coding practices.
- Implement CI/CD pipelines using tools like GitHub Actions, Jenkins, Azure DevOps, or GitLab.
- Deploy and manage applications on Cloud platforms (AWS / Azure / GCP) using Kubernetes, Docker, Helm.
- Ensure security, performance, and compliance in all development practices.
- Collaborate with cross-functional teams (Product, QA, DevOps) in Agile/Scrum environments.
- Leverage GenAI tools (e.g., GitHub Copilot, Azure OpenAI, LangChain) for code generation, documentation and productivity improvements.
- 6+ years of hands on core Java/J2EE development experience.
- Strong knowledge of Java 11+, functional programming, streams, concurrency.
- Expertise in Spring Boot, Spring Data, Spring Security, Spring Batch, Spring Cloud and ORM frameworks like Hibernate.
- Solid understanding of microservices architecture, API design patterns, and distributed systems.
- Experience with SQL/NoSQL databases (PostgreSQL, MongoDB, Redis, Elastic Search).
- Strong experience with Docker, Kubernetes, and cloud-native development.
- Knowledge of testing frameworks: JUnit, Mockito, Cucumber.
- Strong problem-solving skills, debugging expertise and system design abilities.
- Exposure to Gen AI concepts, LLM integrations, and AI-driven development tool
Candidate Skill Fit Analysis
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Estimated In-Hand Salary
New Tax Regime (AY 2026–27)Editable what-if calculation; when employer pay is not disclosed, the starting amount is an example, not a salary offer. Indicative estimate using standard assumptions for EPF, professional tax and Section 87A. Actual payroll, benefits and deductions vary by employer and individual.
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