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Demandbase

Staff DevOps Engineer, Developer Experience (DevEx)

US - RemoteRemote · United States
Staff · FullTime · Engineering
POSTED 1 OCTVERIFIED 5H AGO
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Role
40 days opentrue age
Posted 1 Oct
Pay
$214k–$280kno pay posted
$214k$280k
Market p25–p75
$214k–$280k
H-1B median · Software engineering
$233k
United States · n=224 · 365d to 6 Nov
CompanyDemandbase →
14open roles
Opened · 30d
+0
Closed · 30d
−1
7d of snapshots · 30d window
Market
903open · Staff DevOps / SRE / Infra
Opened · 7d
+627% of open
All devops / sre / infra
6,959open
All tracked boards · live 10 Nov · n=903
Visa
8H-1B LCAs · FY26
Median wage
$212k
UK licensed sponsor
✓Worker (A rating)
LCAs FY26 · n=8 · to 2026-06-24
AWSGCPKubernetes

Introduction to Demandbase

Demandbase is the only pipeline AI platform that empowers GTM teams to automate growth at scale. With a unified view of data, insights, actions, and outcomes, B2B enterprises can seamlessly align and execute their account-based GTM strategies with confidence. Thousands of businesses trust Demandbase to maximize revenue, minimize waste, and consolidate their data and tech stacks – all in one platform.

As a company, we’re as committed to growing careers as we are to building world-class technology. We invest heavily in people, our culture, and the community around us. We have also continuously been recognized as One of The Best Places To Work in the San Francisco Bay Area by Fortune, and One of The 60 Best Companies To Sell For by Selling Power. Our offices are located in San Francisco, New York, Austin, Seattle, India, and the United Kingdom.

About the Role

As a Staff DevOps Engineer on the Developer Experience (DevEx) team, you will set the technical direction for the platforms, tooling, and workflows that every engineering team at Demandbase depends on to ship reliably to production. This is not a single-team execution role you will define multi-quarter platform strategy across build, test, deploy, and operate stages for services and data pipelines running on AWS and GCP, and you'll be the person other senior and staff engineers across the org come to when a platform decision has broad blast radius.

You'll act as a force multiplier at organizational scale: abstracting infrastructure complexity into paved roads, driving adoption of self-service platforms, and embedding reliability, security, costawareness, and observability. You are fluent with AI-assisted and agentic engineering workflows and are expected to help define how the broader engineering org adopts these tools safely and effectively. This role is critical to improving local-to-production parity, reducing cognitive load fleetwide, and sustaining high release velocity across our Kubernetes-based services and data platforms.

What makes this role distinctive

You'll combine technical strategy, platform product thinking, and hands-on systems leadership to make reliable delivery the default for engineering teams.

RESPONSIBILITIES

Platform Strategy & Technical Leadership

Set and drive the technical roadmap for the Internal Developer Platform (IDP) - not just execute against one handed to you.

Author and review RFCs/design docs that other teams adopt; act as architecture reviewer for infrastructure-impacting changes org-wide.

Serve as the escalation point for the highest-severity production incidents involving platform infrastructure; lead retrospectives and turn findings into structural fixes, not one-off patches.

Mentor senior and staff-level engineers across teams, raising the technical bar for platform engineering, reliability, and secure software delivery org-wide.

Developer Platform & Workflow Enablement

Own and evolve Demandbase's Internal Developer Platform (Backstage service/API/group catalog, goldenpath scaffolder templates, cicd-components ) as a product - measured by adoption, time-to-first-deploy, and reduction in platform-support toil.

Partner with software, data, security, and product engineering leadership to identify systemic friction across the SDLC and resolve it through automation and platform abstraction rather than one-off fixes.

Define what "good" looks like for AI-assisted development workflows across the org - evaluate, pilot, and roll out coding-agent tooling with the right guardrails.

CI/CD & Release Engineering

Own the architecture of CI/CD orchestration (GitLab CI/CD, shared cicd-components ) supporting high release velocity, strong security guardrails, and local-to-production parity across the engineering org.

Drive standardization of build, test, and deployment patterns across application and data workloads at scale.

Own GitOps-based deployment strategy and evolve it as the org's service count grows.

Cloud Infrastructure & Kubernetes Platforms

Source · DemandbaseFirst seen 2 NovOriginal ↗