VP - Engineering - Product Startup - IIT/NIT

Our client is one of the fastest growing internet company in India which recently raised Series A round of funding. They are looking to have a VP Engineering join their team and lead engineering efforts.

Position : VP Engineering

Location : Bangalore

Job Description :

- Responsible for the overall development life cycle of technical solutions and manage complex projects with significant bottom line impact.

- Work closely with Engineering Managers to develop the best technical design and approach for new product development.

- Work with the Chief Technology Officer and with other functional leaders in the company. Instill best practices for software development, ensure designs meet requirements and deliver high-quality work on tight schedules.

- Project management : prioritization, planning of projects and features; stakeholder management and tracking of external commitments.

- Be a champion of engineering excellence: establish team metrics for measurement of engineering and operational excellence. Implement a consistent, regular process for assessment and improvement.

- Show strong business and technical judgment that will accelerate time to market of releases, while incrementally moving our services towards the long term vision.

- Be responsible for mentoring and developing front line managers and engineers.

Requirement :

- Bachelor Degree or higher in Computer Science or related field from Premium Institutes

- A strong sense of ownership, urgency and drive.

- Being a strong leader, mentor, and people manager.

- Experience in building and running distributed systems for 24x7 online services at scale.

- 10+ years of work experience in software development and 5+ years as a leadership role.

- Track record of data-driven decisions.

- Knowledge of Object-Oriented Design, data structures, algorithm design, and complexity analysis.

- Experience in defining and executing professional software engineering best practices for the full software development life cycle.

- Strong analytic and quantitative skills; ability to use hard data and metrics to back up assumptions, recommendations, and drive actions.

- Strengths in problem-solving, issue resolution, ability to work in a deadline-driven work environment, attention to detail, and ability to multitask.

- Strong verbal and written communication skills with a demonstrated experience. Engaging and influencing peers and executives.

- Experience in machine learning design practices and implementation.

- Demonstrated ability to understand and discuss technical concepts, manage trade-offs and evaluate opportunistic new ideas with internal and external partners.

- Demonstrated ability to work with business, legal, engineering, design, and other stakeholders to deliver products/services.