Engineering Manager - Networking

P-995

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As an Engineering Manager in the Networking team at Databricks India, you will be focussing on building new backend connectivity services that powers millions of VMs running on Databricks. You will also be leading the design and development of new services that powers the connectivity between our control plane and compute plane. This new platform enables Databricks to increase scalability of our compute plane while also efficiently use cloud resources.

You will work closely with cross-functional teams, including product management, operations, and other engineering teams, to ensure the delivery of robust, scalable, and efficient networking systems. This is an excellent opportunity for a hands-on leader who thrives in a fast-paced environment and is passionate about solving novel multi-cloud and distributed systems challenges

• Lead and mentor a team of engineers responsible for maintaining and optimizing MySQL infrastructure and best practices.
• Collaborate with software engineering and other stakeholders to improve database access patterns and performance.
• Develop and implement strategies for proactive failure detection and resolution to ensure database reliability and availability.
• Oversee the implementation of best practices for database design, security, and access management.
• Drive strategic initiatives to enhance the scalability, performance, and resilience of database systems.
• Manage database backup, replication, disaster recovery, and incident response processes.
• Establish and track key performance indicators (KPIs) to monitor database health and efficiency.
• Provide technical guidance and leadership in addressing complex database-related challenges.
• Foster a culture of continuous learning, innovation, and process improvement within the team.

• 12+ years of extensive experience with large-scale distributed systems alongside the processes , preferably on networking
• 4+ years of proven managerial experience in managing and mentoring engineering teams
• Demonstrated success in working with multiple stakeholders to optimize database access patterns and improve system performance.
• Experience in developing and implementing proactive mechanisms 
• Excellent leadership, communication, and project management skills.
• Ability to collaborate effectively with cross-functional teams and stakeholders.

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. 

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.