What will you do:

• Technical Leadership: Guide the engineering team in the adoption and mastery of specific tech stacks like Apache Spark, Flink, Kubernetes, and Scylla DB. Ensure the team is updated with the latest technological advancements and best practices.
• Hands-on Development: Maintain an active role in coding, particularly in Scala, and lead by example. Participate in and lead design innovations that result in significant improvements in application performance, system availability, and the ability to scale elastically.
• Project Management: Oversee multiple projects from inception to completion, ensuring that all deliverables meet     the  highest quality standards and are delivered on schedule. Implement and refine project management processes to streamline workflow and increase efficiency.
• Mentorship and Team Development: Serve as a strict yet supportive mentor to the engineering team. Foster professional growth and development by setting clear expectations, providing regular feedback, and conducting performance evaluations.
• Quality Assurance: Uphold high standards for code quality, documentation, and testing. Implement best practices for continuous integration and deployment and ensure that all releases meet rigorous quality assurance criteria.
• Collaboration and Communication: Facilitate effective communication within the engineering team and across departments. Work closely with product managers, designers, and other stakeholders to ensure alignment of goals and seamless collaboration.

What makes you a great fit:

• Bachelor's or Master's degree in Computer Science from top institutions in India
  
• At least 8+ years of experience in software development, with a minimum of 5 years in a leadership role managing 6-10 direct reportees.
• Extensive hands-on experience with technologies such as Apache Spark, Flink, Kubernetes, and Scylla DB.
• Proven track record of being an open-source committer for Apache Spark: this is a must-have.
• Proven track record as a hands-on coder in Scala, with preferred knowledge in AI or machine learning