Senior Customer Engineer, Data Engineering & FinOps

We are looking for a deeply technical customer-facing Senior Software Engineer with a strong DevSecOps background — someone who has worked hands-on with FinOps tools, data-heavy platforms, and has a deep understanding of LookerML. You will serve as the technical backbone for resolving complex customer issues, contributing to platform improvement, and driving mission-critical implementation and debugging efforts.

This is not a typical support role — you’ll be writing and modifying code, optimizing LookerML models, troubleshooting high-priority escalations, and representing the customer’s voice in product conversations.

• Take full ownership of customer-related product issues and collaborate cross-functionally to ensure timely resolution with minimal handoff.
• Lead incident response efforts, ensuring timely coordination, root cause identification, and communication during high-priority escalations.
• Triage and resolve LookerML modeling issues, including dashboards, field logic, and data pipeline concerns.
• Guide enterprise customers in onboarding, implementation, and system integration across modules like FinOps, CI/CD, Software Engineering Insights, and Feature Flags.
• Collaborate closely with Product, Engineering, and Account Management teams to influence product improvements and prioritize critical fixes.
• Contribute to tooling and automation to reduce repetitive tasks and accelerate customer resolution time.
• Act as the go-to technical escalation point across the Customer Engineering org for named modules; mentor junior team members and support enablement.
• Maintain and contribute to internal and external documentation — runbooks, knowledge base articles, and customer best practices.
• Champion the customer voice by identifying recurring issues and patterns to inform product direction and engineering roadmap.

• 5–7 years of experience in a customer-facing engineering role, DevOps, or SRE with increasing scope and complexity.
• Deep experience supporting FinOps products and data-centric tools — such as LookerML or similar semantic modeling layers.
• Proficient in Linux systems, networking, and distributed architectures; strong debugging instincts and curiosity
• Ability to dive deep into source code to understand how products work, and where they may have defects.
• Hands-on experience with Kubernetes (including Helm, CRDs) and cloud-native ecosystems.
• Strong scripting ability (Shell, Bash, JSON, YAML) and exposure to CI/CD pipelines and DevSecOps tooling.
• Familiar with major cloud platforms — AWS, GCP, Azure — and how enterprise customers utilize them at scale.
• Skilled in observability tools such as Datadog, Splunk, or Prometheus for diagnosing performance issues.
• Excellent communicator with the ability to empathize with customer pain while diving deep into technical details.
• Experience working with CRM/support tooling like Zendesk, Jira, and Confluence.
• Tenacious, detail-oriented, and customer-obsessed — you don’t give up until the issue is solved 100%.

• U.S. or Canada, Remote. Must be located in the pacific time zone*

• Competitive salary
• Comprehensive healthcare benefits
• Flexible Spending Account (FSA)
• Employee Assistance Program (EAP)
• Flexible Time Off and Parental Leave
• Quarterly Harness TGIF-Off / 4 days
• Monthly, quarterly, and annual social and team-building events
• Recharge & Reset Program
• Monthly internet reimbursement
• Commuter benefits

• Harness AI Tackles Software Development’s Real Bottleneck
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• Eight years after selling AppDynamics to Cisco, Jyoti Bansal is pursuing an unusual merger
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• Exclusive: Jyoti Bansal-led Harness has raised $150 million in debt financing

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or national origin.

Note on Fraudulent Recruiting/Offers

We have become aware that there may be fraudulent recruiting attempts being made by people posing as representatives of Harness. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. 

Please note, we do not ask for sensitive or financial information via chat, text, or social media, and any email communications will come from the domain @harness.io. Additionally, Harness will never ask for any payment, fee to be paid, or purchases to be made by a job applicant. All applicants are encouraged to apply directly to our open jobs via our website. Interviews are generally conducted via Zoom video conference unless the candidate requests other accommodations.

If you believe that you have been the target of an interview/offer scam by someone posing as a representative of Harness, please do not provide any personal or financial information and contact us immediately at [email protected]. You can also find additional information about this type of scam and report any fraudulent employment offers via the Federal Trade Commission’s website (https://consumer.ftc.gov/articles/job-scams), or you can contact your local law enforcement agency.