Senior Engineering Manager - Backend
Skills & Technologies
Requirements
- Experience
- 12+ years
- Education
- Bachelor's degree
Joblaze summary
In the role of Senior Engineering Manager for Backend at Databricks, the individual will lead a team focused on building scalable infrastructure and products that support big data and machine learning workloads. Key skills include extensive experience with large-scale distributed systems and a strong background in software engineering leadership. This position is ideal for seasoned professionals with a proven track record in managing engineering teams and developing innovative solutions. Databricks emphasizes a culture of engineering excellence and collaboration across teams to drive impactful projects.
Joblaze insights
- Listed about a month ago on Joblaze — tracked directly from Databricks's career page.
- Databricks has 788 other open roles including Solutions Architect Greenfield (New Logo) Start Ups France, Sr. Solutions Engineer - AI Natives Business, Senior Solutions Architect.
- 399 active Cloud roles on Joblaze right now.
- 270 active Machine Learning roles on Joblaze right now.
- 230 active distributed systems roles on Joblaze right now.
Quick facts
- How much experience is required?
- At least 12 years of relevant experience for this Senior Engineering Manager - Backend role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Cloud, Machine Learning, Big Data, distributed systems.
- What seniority level is this role?
- Databricks targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Engineering Manager - Backend role at Databricks.
From the original posting
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.
You will work with your team to build infrastructure and products for the Databricks platform at scale. We have multiple teams working on different domains.
- Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way
- Develop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers
- Build tools to allow Databricks engineers to operate their services across different clouds and environments
- Build services, products and infrastructure at the intersection of machine learning and distributed systems.
The impact you will have:
- Hire great engineers to build an outstanding team.
- Support engineers in their career development by providing clear feedback and develop engineering leaders.
- Ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence).
- Work with engineering and product leadership to build a long-term roadmap.
- Coordinate execution and collaborate across teams to unblock cross-cutting projects.
What we look for:
- 12+ years of extensive experience with large-scale distributed systems alongside the processes around testing, monitoring, SLAs etc
- Extensive experience as a Software Engineering Leader , building & scaling software engineering teams from ground up
- Extensive experience managing a team of strong software engineers
- Partner with PM, Sales, and Customers to develop innovative features & products.
- BS (or higher) in Computer Science, or a related field.
About Databricks
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 click here.
Our Commitment to Diversity and Inclusion
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.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.