Senior Cloud Infrastructure Engineer

Databricks · Silicon Valley CA

Company

Databricks

Location

Silicon Valley CA

Type

Full Time

Job Description

While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations.

At Databricks Information Technology, we are a product led organization transforming the way we work from how easy it is to use our IT services to the applications we develop that help us scale seamlessly in face of incredible growth.

The Corporate Engineering team builds / providing services and infrastructure that allow our bricksters to be successful. To accomplish this the team is dedicated to the mission of ensuring that the underlying infrastructure is running smoothly and that systems and tools are working as expected.

Databricks is hiring an experienced Cloud Infrastructure Engineer to report to Corporate Engineering managing cloud infrastructure and capabilities. This role is important to scaling and optimizing our business processes infrastructure as we continue our hyper-growth.

The impact you will have:

  • You will work with different teams making sure that services we offer to the business are built for scale
  • You will work with the Marketing team to co-managed AWS infrastructure for public websites and assets.
  • You will work with internal IT teams to manage AWS cloud infrastructure and kubernetes that run applications and middleware components for the business.
  • You will work with developers to provide instrumentation to improve both quality and predictability of application or configuration deployments across infrastructure
  • You will help define Service level agreements and processes working with team to establish telemetry to monitor.
  • You will build IAC (Infrastructure as Code) around IaaS system and kubernetes deployments,
  • You will improve service availability and disaster recovery of business systems as an ethos across the organization.

What we look for:

  • 5+ years of experience  or related experience administering cloud infrastructure in AWS 
  • 2+ years of experience with Terraform
  • 2+ years of experience with Kubernetes
  • 2+ years of experience scaling production cloud systems while both secure and performant.
  • 1+ years of experience programming in languages such as Python, node.js, golang or Scala is ideal.
  • Experience with IAC automation such as CloudFormation, Terraform, Troposphere or Saltstack
  • Hands-on technical skills scripting or comfortable with a domain specific language to implement deployment automation be it part of CI/CD pipelines or infrastructure automation.
  • Familiarity with APIs and designing solutions to use interfaces and micro services architecture to build automation for infrastructure and instrumentation.

Benefits

  • Comprehensive health coverage including medical, dental, and vision
  • 401(k) Plan
  • Equity awards
  • Flexible time off
  • Paid parental leave
  • Family Planning
  • Gym reimbursement
  • Annual personal development fund
  • Work headphones reimbursement
  • Employee Assistance Program (EAP)
  • Business travel accident insurance
  • Mental wellness resources

About Databricks

Databricks is the lakehouse company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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.

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Date Posted

09/24/2022

Views

7

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