21 openings · 4 companies · Updated November 12, 2026
Kubernetes, containers and platform engineering roles.
21 jobs
As a technical lead and manager of the DevOps/DevSecOps team, you will be responsible for leading the team in building and scaling the AI cloud infrastructure and developer platform. As…
Engineering · Python · Golang · AWS · Azure
GAQ327R264 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…
Infrastructure · Python · AWS · Azure · GCP
CSQ127R154 As a Senior Production Engineer working on Databricks’ realtime products you will be directly contributing to our customers’ success. You will build advanced monitoring and…
Python · Java · Go · AWS · Azure
RDQ427R198 The Opportunity Multi-cloud is core to Databricks product strategy. Compute serves as the layer that abstracts the cloud from the rest of the company. Building unified…
Engineering · Python · Java · AWS · Azure
Manage the critical swimlanes of the Continuous Delivery module that enables customers to run their CI/CD pipelines with highest levels of security, reliability and manageability. This…
Product Management · Security · DevOps · SRE · QA
GAQ127R41 Location: San Francisco, CA (Hybrid) About the Role At Databricks Information Technology, we are a product-led organization transforming the way we work, from how easy it is to…
Infrastructure · Python · AWS · Azure · GCP
P-1652 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…
Java · Go · AWS · Azure · GCP
We’re building the observability product for OpenAI—from scalable infrastructure to a rich, AI-powered UI. Our systems ingest over petabytes of logs and billions of time series metrics…
Applied AI · AWS · Kubernetes · Networking · Product
P-1125 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building…
Engineering - Pipeline · Kubernetes · Databricks · Analytics · Security
P-1125 Summary At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by…
Engineering - Pipeline · Kubernetes · Databricks · Analytics · Security
P-78 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems, from advancing AI research to powering next-generation applications. We do this by…
Engineering - Pipeline · Java · Go · AWS · Azure
Design, develops and maintain critical software of scalable platform in fast paced environment Authors software functional specifications and design documents Quickly understand complex…
Software Development · Security · DevOps · Automation · Product
P-1126 Summary At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by…
Kubernetes · Databricks · Analytics · Security
P-1124 Summary At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by…
Engineering - Pipeline · Kubernetes · Databricks · Analytics · Security
We are developing a growing ecosystem of applications and partners on the Databricks Data Intelligence Platform. Our team creates frameworks, tools, and best practices to enable seamless…
Engineering · AWS · Azure · GCP · Kubernetes
P-160 Who We Are Our GenAI observability and quality product provides advanced monitoring and insights for GenAI systems, giving customers real-time visibility into their system's…
Engineering - Pipeline · Python · Java · Go · JavaScript
P-1126 Summary At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by…
Kubernetes · Databricks · Analytics · Security
P-1124 Summary At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by…
Engineering - Pipeline · Kubernetes · Databricks · Analytics · Security
P-931 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…
AWS · Azure · GCP · Kubernetes · Databricks
P-150 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…
Engineering - Pipeline · Java · Go · AWS · Azure
P-78 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…
Engineering - Pipeline · Java · Go · AWS · Azure
There are 21 open Kubernetes jobs in Mountain View, CA right now, posted by 4 employers, including Databricks, Harness, ServiceNow and OpenAI. The newest was posted on November 2, 2026.
Most openings ask for 3–5 years of experience; 1 suits entry-level candidates (0–2 years); where employers publish pay, ranges run from $150K to $445K a year (median starting pay $210K); the skills asked for most are AWS, Azure, Kubernetes, Security and Engineering - Pipeline.
Every listing comes from the employer's own careers page and is refreshed twice a day (last update November 12, 2026). Apply opens the employer's own application page; there is no sign-up and no fee.
21 Kubernetes jobs are open in Mountain View, CA as of November 12, 2026, from 4 employers. The list is refreshed twice a day from the employers' own career pages, and closed openings are removed.
Databricks (17), Harness (2), ServiceNow (1) and OpenAI (1). Use the Company filter to see one employer's openings.
Among openings that publish pay (many US states require a pay range in the posting), yearly pay runs from $150K to $445K, with a median starting figure of $210K. Hourly rates are counted at 2,080 hours a year. These are the employers' published ranges, not guaranteed pay.
Yes: 1 of these openings ask for 0–2 years of experience. Choose "0–2 years" under Experience to see them.
Most US employers ask that you are authorized to work in the United States; postings often say whether visa sponsorship is offered. Each job page shows who may apply when the posting says so; check the full posting before you apply.
Open a job and press Apply: it takes you to the employer's own careers page, where you apply directly. askjobs does not collect resumes, act as a recruiter or charge anything.
