Overview
On Site
USD 222,000.00 - 300,000.00 per year
Full Time
Skills
Virtual machines
High availability
Load balancing
Service level
Team building
Product management
Computer science
Databricks
Data
Transportation
Artificial intelligence
LEAP
UI
User experience
Routing
Authorization
Communication
Reporting
IMPACT
Testing
Leadership
Roadmaps
Collaboration
Mentorship
Database
Recruiting
Coaching
Cloud computing
SaaS
Personas
Training
Job Details
P-932
At Databricks, we are passionate about helping data teams 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, we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for working with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
As a Sr. Engineering Manager on the Service Platform team, you will build infra components and systems that allow product facing engineering teams to build large-scale, distributed, and fault-tolerant systems. This encompasses high availability, low latency ingress infra for all incoming traffic (routing, load balancing, authorization), service to service communication and general purpose framework components for building reliable services at Databricks.
You will report directly to the Director of Engineering.
The impact you will have:
What we look for:
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page .
Local Pay Range
$222,000-$300,000 USD
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Cond 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 , and .
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.
At Databricks, we are passionate about helping data teams 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, we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for working with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
As a Sr. Engineering Manager on the Service Platform team, you will build infra components and systems that allow product facing engineering teams to build large-scale, distributed, and fault-tolerant systems. This encompasses high availability, low latency ingress infra for all incoming traffic (routing, load balancing, authorization), service to service communication and general purpose framework components for building reliable services at Databricks.
You will report directly to the Director of Engineering.
The impact you will have:
- You will hire great engineers to build an outstanding team
- You will support engineers in their career development by providing clear feedback, as well developing engineering leaders
- You will ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence)
- You will work with engineering and product leadership to build a long-term roadmap
- You will coordinate execution and collaborate across teams to unblock cross-cutting projects
What we look for:
- 5+ years experience working on large- scale distributed systems, frameworks, or platform infrastructure
- Experience leading multi-project teams, mentoring staff-level software engineers and managers, and building new teams from the ground up to deliver value to Databricks customers
- Can ensure the team builds high quality and reliable infrastructure services; experience being responsible for testing, quality, and service level agreements of a product; previous experience building teams in a complex technical domain, such as on distributed data systems or database internals
- Experience attracting, hiring, and coaching engineers who meet the Databricks hiring standards; can up level existing team by hiring top-notch senior talent, growing leaders and helping struggling members; can gain the trust of the team and guide their careers
- Experience building and running cloud platforms or learning new concepts in the SaaS space (e.g. technical background)
- Comfort working cross functionality with product management and directly with customers; ability to understand product and customer personas
- BS in Computer Science or related field (Masters or higher)
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page .
Local Pay Range
$222,000-$300,000 USD
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Cond 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 , and .
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.