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Heres What Youll Be Doing

• Building and managing a team of exceptionally talented engineers who are responsible for the machine learning solutions in our Bengaluru office

• Working with product management and engineering leaders to understand the vision and CLAIRE roadmap

• Developing short, medium and long-term plans to accelerate the CLAIRE vision

• Participating in architecture discussions, design reviews and planning

• Collaborating with several cross functional teams, architects, product managers and engineers on a day-to-day basis

• Helping RD counterparts and key stake holders with productionizing the CLAIRE projects

• Providing technical guidance, career development, and mentoring to team members

• Providing hands-on development guidance to the team, mentoring with architecture and code structure, and doing code reviews

• Hiring strong and diverse talent to strengthen the team

• Keep up to date on the latest tools and solutions that will best serve the business

Key Essentials

• Demonstrated experience in delivering large, enterprise-scale, distributed, high performance platforms and developing reusable and common services developed across products.

• Experience through the platform development lifecycle, onboarding stakeholders on the platform as well as supporting successful adoption of products.

• Experience in scoping and planning releases, resource planning, stakeholder management, dependency management and working closely with cross functional teams and technology partners

• Excellent presentation skills, sharing technical and execution plans with executives and external partners

• Demonstrated leadership and people management skills; ability to work collaboratively with geographically distributed teams

• Very strong technical skills with the ability to evaluate key technical proposals and hire and mentor excellent engineers, getting hands-on as needed

• Solid experience designing and developing solutions using Java/python, Cloud platforms like AWS, Azure, GCP

• Excellent cloud experience including but not limited to multi-tenancy, secured application, high availability, microservices, telemetry,

• Building applications with microservices with end-to-end low latency response

Nice to Have

• Experience with machine learning supervised, unsupervised, deep learning algorithms

• Experience working with distributed processing frameworks.

• Experience working with Kubernetes and cloud-first cloud-native platforms

Education / Experience

• Bachelor s / Master s in Computer Science/ related discipline or equivalent experience

• At least 2 years of experience leading engineering and cross functional teams of 5 or more members

• 6+ years experience in software engineering