About the Job The Software Engineering Lead is a hands-on subject matter expert, engineering leader and people manager responsible for a cross-functional team delivering a defined set of products and services. This role combines technical leadership, delivery ownership, and people management.

We are looking for someone who can balance hands-on technical contribution with team development, technical decision-making and end-to-end ownership of product delivery.

Key Responsibilities

1. Technical Leadership & Software Development

- Lead the design, development, enhancement and maintenance of software products, ensuring code quality, scalability, performance and reliability.
- Remain hands-on with development, debugging, code reviews and complex technical problem-solving.
- Evaluate existing software architecture, identify technical gaps and drive improvements in system design, code quality and engineering practices.
- Establish and maintain sound programming practices, coding standards, documentation and development workflows.
- Make informed technical decisions, evaluate trade-offs and adopt new technologies or approaches where they provide meaningful value.

2. Product Delivery & Project Ownership

- Own and oversee end-to-end product delivery across AI and web development teams, from requirement analysis and technical planning to development, testing, deployment and release.
- Translate business and product requirements into technical roadmaps, execution plans and realistic delivery milestones, managing priorities, dependencies, risks and resources effectively.
- Take accountability for delivery outcomes, proactively resolve technical and operational bottlenecks, and balance speed of execution with product quality,



stability and long-term maintainability.
- Collaborate with internal stakeholders to align technical decisions with business objectives, adapt to changing requirements and drive continuous improvements in product development.

3. AI, Computer Vision & Hardware–Software Integration

- Guide the development and integration of AI-powered features, computer vision capabilities and video analytics solutions into scalable, production-ready software products.
- Apply strong programming fundamentals and technical judgment to evaluate solutions, address complex engineering challenges and improve system performance across software and hardware environments.
- Oversee integration between AI, web applications and relevant hardware components, accounting for system-level constraints, communication interfaces, performance and reliability.
- Evaluate emerging technologies and practical engineering approaches, taking calculated risks to strengthen existing products and expand their capabilities.

Required Skills & Experience

- Programming fundamentals: Solid understanding of data structures, algorithms, object-oriented programming, design principles, debugging and problem-solving.
- Programming languages: Proficiency in C/C++, Python and familiarity with their practical applications in software development.
- Web development:



Experience with Angular and full-stack development concepts, including frontend, backend, APIs, databases and system integration.
- Software architecture: Ability to design, evaluate and improve modular, maintainable and scalable software systems.
- AI and computer vision: Working knowledge of AI/ML concepts and computer vision, with the ability to guide development and integration into production software.
- Hardware–software integration: Understanding of system-level interactions, hardware constraints, communication interfaces and software integration challenges.
- Engineering practices: Experience with version control, code reviews, testing, debugging, release processes and software lifecycle management.
- Project execution: Ability to estimate work, plan releases, manage dependencies, prioritize competing requirements and ensure delivery accountability.

Must Have

- 7+ years of relevant experience in software development, with substantial hands-on engineering experience.
- Previous experience leading, mentoring or managing a software development team, ideally including experience building or scaling a team.
- Demonstrated ownership of software products, major features, technical initiatives or end-to-end project delivery.
- Ability to make and justify technical decisions through sound engineering principles, practical experience and measurable outcomes.
- Strong collaboration and communication skills, with the ability to work effectively across technical teams and business stakeholders.
- A growth-oriented mindset, adaptability and willingness to challenge established approaches constructively.

📌 Engineering Team Lead (Gurugram)
🏢 i2V Systems
📍 Gurugram