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VP , Engineering , Product Startup , IIT,NIT

  • 10-12 yrs
  • Not Disclosed

Job Description

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.