ENGINEERING MANAGER

Role overview

ENGINEERING MANAGER at Lepton Software Export & Research

Responsibilities

• Lead, mentor, and grow a team of backend and frontend engineers.
• Provide technical guidance and career mentorship to engineers across experience levels.
• Lead development of modern front-end applications using React.js and component-based architectures.
• Ensure systems are built with high availability, scalability, and performance optimization in mind.
• Drive adoption of microservices architecture and cloud-native design patterns.
• Collaborate closely with Product, Data, DevOps, and Business teams to translate business requirements into technical solutions.
• Implement best practices for observability, logging, monitoring, and performance optimization.

Preferred qualifications and skills

• Experience with GIS or geospatial platforms.
• Knowledge of PostgreSQL/PostGIS or large-scale spatial data platforms.
• Experience with Docker, Kubernetes, and containerized deployments.
• Exposure to cloud-native architectures and distributed systems at scale.
• Experience leading large-scale enterprise product development initiatives.
• Behavioural Competencies
• Strong ownership and accountability mindset.
• Excellent communication and stakeholder management skills.
• Ability to mentor engineers and build high-performing teams.
• Passion for innovation, emerging technologies, and continuous learning.
• Ability to operate effectively in a fast-paced, cross-functional environment.
• Why Join Lepton Software
• Opportunity to build large-scale Location Intelligence and geospatial platforms.
• Work with cutting-edge AI-assisted development workflows.
• Collaborative and innovation-focused engineering culture.
• Competitive compensation with strong career growth opportunities.

Employment details

• Location: Gurgaon [HR] [India]

Additional role details

• JOB RESPONSIBILITY Engineering Leadership
• Drive engineering best practices across coding standards, code reviews, testing, and deployment pipelines.
• Own the end-to-end delivery of engineering projects, ensuring timelines, quality, and performance.
• AI-Driven Development
• Promote the use of AI coding assistants such as GitHub Copilot, Cursor, Claude, and ChatGPT to improve development velocity.
• Establish AI-assisted workflows for code generation, refactoring, testing, and debugging.
• Encourage automation-first development practices to streamline engineering operations.
• Architecture & System Design
• Design and architect scalable distributed systems using Java/Spring Boot.
• Cross-Functional Collaboration
• Participate in engineering roadmap planning, architecture discussions, and strategic technical decisions.
• Manage execution across multiple engineering initiatives simultaneously.
• Engineering Excellence
• Improve development productivity through automation, tooling, and CI/CD practices.
• Foster a culture of ownership, innovation, collaboration, and continuous improvement.
• QUALIFICATION & SKILL-SET
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 8+ years of software engineering experience, with 2–4 years of experience leading engineering teams.
• Strong backend development experience using Java and Spring Boot ecosystem.
• Strong front-end development experience with React.js and modern JavaScript frameworks.
• Solid experience designing distributed systems and microservices architectures.
• Hands-on experience with cloud platforms (AWS, Azure, or GCP).
• Experience with RESTful APIs, system scalability, and performance optimization.
• Experience with CI/CD pipelines, Git workflows, and DevOps practices.
• Strong understanding of data structures, system design, and software engineering best practices.
• Excellent communication, collaboration, and leadership skills.
• AI Development Experience Candidates should have hands-on experience using AI-assisted development tools, including:
• AI coding assistants such as GitHub Copilot, Cursor, Claude, ChatGPT, etc.
• Using AI tools for code generation, refactoring, debugging, and documentation.
• AI-assisted test generation and automated code review workflows.