# Engineering Manager - Storage

**Company**: Databricks
**Location**: London, United Kingdom
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8476581002
**Canonical**: https://yubhub.co/jobs/job_c571d7f7-d82

## Description

At Databricks, we are building and running the world's best data and AI infrastructure platform. As an Engineering Manager, you will work with your team to build mission-critical Lakebase services on the Databricks Platform at scale.

Key responsibilities include:

- Drive continuous delivery within a team of experts in storage technology, distributed systems and Rust.

- Manage the development and rollout of storage services that host millions of customer databases across dozens of regions

- Partner with peer engineering teams across Databricks to co-evolve Lakebase services with our global infrastructure.

- Lead operational excellence in 24/7 operation of our system

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:

- Experience with building and shipping storage systems where correctness and performance are essential

- BS (or higher) in Computer Science, or a related field

- 2+ years of experience building and leading a team of engineers working in a related system

- Experience with build, release and deployment infrastructure technologies such as Spinnaker, Jenkins, Airflow, Docker, Kubernetes, Terraform, Bazel, etc.

- Ability to attract, hire, and coach engineers who meet the Databricks hiring standards

- Comfort working on cross-functional projects with the ability to deeply understand product and customer personas

## Skills

### Required
- storage technology
- distributed systems
- Rust
- Spinnaker
- Jenkins
- Airflow
- Docker
- Kubernetes
- Terraform
- Bazel