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VP Engineering (12+ Years) for an largest hotel booking company

Company:
Zyoin Web Private Limited
Location:
Gurgaon, Uttar Pradesh, 209312, India
Salary:
Open to discuss
Posted:
November 10, 2016
Description:

We are looking for a ” VP Engineering ” for one of our esteemed Clients for Bangalore Location.

RESPONSIBILITIES:

-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.

-A strong sense of ownership, urgency and drive.

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

-Experience in building and running distributed systems for 24 7 online services at scale.

-12+ 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.