About the RoleJoin our Customer Engineering team, where you'll own complex, often ambiguous technical issues for enterprise customers, broken pipelines, deployment failures, connectivity problems, misconfigured infrastructure through to resolution, and feed what you learn back to Product and Engineering.
This role works whether you're early in your career and want to get hands-on with real production systems fast, with mentorship built in or you're an experienced DevOps/SRE/platform engineer who wants direct customer impact without giving up hands-on coding.
What You'll Do- Own customer cases end-to-end on your team, triage, root-cause analysis, and resolution across Kubernetes, ECS, Docker, and AWS/GCP/Azure including occasional customer build engagements (~20-30% of time) where you'll shadow and co-build alongside a senior engineer.
- Contribute to customer-facing tooling and small product fixes alongside Product and Engineering, turning patterns from your casework into reusable diagnostics, dashboards, or bug fixes.
- Lead or actively participate in customer calls and screen shares, communicating findings clearly to both engineers and managers.
- Build internal scripts and diagnostic tools that speed up the team's casework, with growing exposure to our AI/LLM-powered internal tooling as that practice matures.
- Turn recurring patterns into run books, playbooks, and reusable templates for the broader team.
What You Bring- 2+ years in a customer-facing engineering, DevOps, SRE, or platform role or equivalent depth from internships, personal projects, or open-source work. Depth and curiosity matter more than years.
- Hands-on with Kubernetes, ECS, and Docker, plus at least one major cloud platform (AWS, GCP, or Azure).
- Solid grasp of CI/CD concepts and Linux/networking fundamentals.
- Scripting ability (Python, Node.js, Bash, or similar) and enough coding experience : coursework, projects, or professionals to read source code and make small, guided changes.
- Clear written and verbal communication comfortable driving a customer call and writing up findings for both engineers and managers.
- A fast learner, comfortable getting hands-on in unfamiliar systems.
What You'll Grow IntoThis team gives you a runway most CXE II roles don't:
- Leading customer build engagements independently, as you build a track record beyond shadowing.
- Contributing more deeply to internal AI/LLM tooling as the practice matures.
- Exposure to observability tooling, Infrastructure-as-Code, AI agents/MCP, and secrets management.
Work Location- Remote - United States/Canada
What you will have at Harness- Competitive salary
- Comprehensive healthcare benefits
- Flexible Spending Account (FSA)
- Flexible work schedule
- Employee Assistance Program (EAP)
- Flexible Time Off and Parental Leave
- Monthly, quarterly, and annual social and team building events
- Monthly internet reimbursement
Pay transparency
$100,000-$135,000 USD
Harness in the news:- Accelerating Our Mission to Bring AI to Everything After Code
- Goldman Sachs leads investment in software delivery startup Harness at $5.5 billion valuation
- How Harness runs 16 "startups within a startup" at scale | Jyoti Bansal
- Harness Research Shows AI Visibility Crisis Fueling Security Nightmare
- Harness has been named to the Inc. Power Partner list for software delivery success
