Databricks
Sr. Engineering Manager - Release and Deployment Infrastructure
Databricks, San Francisco, California, United States, 94199
P-932
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems. 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. As an engineering manager of an Infrastructure team, you will lead the creation and operation of scalable systems to build, validate, and deploy the Databricks Runtimes to a multi-cloud environment across the globe!
Key responsibilities include:
Build and lead a talented engineering team that develops critical infrastructure needed to build and deploy our Databricks Runtime releases in a controlled and efficient manner.
Partner with our development teams to improve efficiency of release life cycle development activities.
Lead our release team by overseeing Databricks Runtime Releases to ensure high quality delivery of our standard, machine learning and Photon runtimes.
Oversee sustained recruitment of top-tier talent, fostering a well-organized and synergistic team structure, and collaborating effectively with internal and external stakeholders.
Implement robust processes to efficiently execute product vision, strategy, and roadmap in alignment with organizational goals and priorities.
The impact you will have:
Develop automated build, test, and release infrastructure to allow Databricks Runtime releases to be deployed to existing Cloud providers.
Support company-wide initiatives by adapting existing infrastructure for key company deliverables.
Enhance product release workflows for engineering and operational efficiency.
Use our own data and AI platform to analyze fleet metrics used for deployment safety and efficiency.
Set and uphold guidelines for release life-cycles, cadence and development workflows by owning a release pipeline capable of accommodating our engineering team and corporate release cadence objectives.
Manage technical debt, including long term technical architecture decisions and balance product roadmap.
What we look for:
BS (or higher) in Computer Science, or a related field.
5+ years of experience building and leading a team of engineers working in a related system.
Passion for building highly scalable and reliable infrastructure.
Experience with cloud APIs and technologies e.g. a public cloud such as AWS, Azure, and/or GCP.
Experience with build, release and deployment infrastructure technologies such as Spinnaker, Jenkins, Airflow, Docker, Kubernetes, Terraform, Bazel, etc.
Can ensure the team builds high quality and reliable infrastructure services; experience being responsible for testing, quality, and SLAs of a product; previous experience building and leading teams in a complex technical domain, such as on distributed data systems or database internals.
Ability to attract, hire, and coach engineers who meet the Databricks hiring standards - can up level existing team via hiring top-notch senior talent, growing leaders and helping struggling members; can gain trust of the team and guide their careers.
Comfort working on cross-functional projects with the ability to deeply understand product and customer personas.
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At Databricks, we are passionate about enabling data teams to solve the world's toughest problems. 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. As an engineering manager of an Infrastructure team, you will lead the creation and operation of scalable systems to build, validate, and deploy the Databricks Runtimes to a multi-cloud environment across the globe!
Key responsibilities include:
Build and lead a talented engineering team that develops critical infrastructure needed to build and deploy our Databricks Runtime releases in a controlled and efficient manner.
Partner with our development teams to improve efficiency of release life cycle development activities.
Lead our release team by overseeing Databricks Runtime Releases to ensure high quality delivery of our standard, machine learning and Photon runtimes.
Oversee sustained recruitment of top-tier talent, fostering a well-organized and synergistic team structure, and collaborating effectively with internal and external stakeholders.
Implement robust processes to efficiently execute product vision, strategy, and roadmap in alignment with organizational goals and priorities.
The impact you will have:
Develop automated build, test, and release infrastructure to allow Databricks Runtime releases to be deployed to existing Cloud providers.
Support company-wide initiatives by adapting existing infrastructure for key company deliverables.
Enhance product release workflows for engineering and operational efficiency.
Use our own data and AI platform to analyze fleet metrics used for deployment safety and efficiency.
Set and uphold guidelines for release life-cycles, cadence and development workflows by owning a release pipeline capable of accommodating our engineering team and corporate release cadence objectives.
Manage technical debt, including long term technical architecture decisions and balance product roadmap.
What we look for:
BS (or higher) in Computer Science, or a related field.
5+ years of experience building and leading a team of engineers working in a related system.
Passion for building highly scalable and reliable infrastructure.
Experience with cloud APIs and technologies e.g. a public cloud such as AWS, Azure, and/or GCP.
Experience with build, release and deployment infrastructure technologies such as Spinnaker, Jenkins, Airflow, Docker, Kubernetes, Terraform, Bazel, etc.
Can ensure the team builds high quality and reliable infrastructure services; experience being responsible for testing, quality, and SLAs of a product; previous experience building and leading teams in a complex technical domain, such as on distributed data systems or database internals.
Ability to attract, hire, and coach engineers who meet the Databricks hiring standards - can up level existing team via hiring top-notch senior talent, growing leaders and helping struggling members; can gain trust of the team and guide their careers.
Comfort working on cross-functional projects with the ability to deeply understand product and customer personas.
#J-18808-Ljbffr