Senior Customer Engineer

Harness
U.S. (Remote)Posted 9 March 2026

Job Description

Harness is the AI Software Delivery Platform company, led by technologist and entrepreneur Jyoti Bansal (founder of AppDynamics, acquired by Cisco for $3.7B). Harness has raised approximately $570M in funding and is valued at $5.5B, backed by leading investors including Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, Citi Ventures, and more. As AI accelerates code creation, the real bottleneck has shifted to everything after the code – testing, deployments, application security, reliability, compliance, and cost optimization. Harness brings AI and automation to this “outer loop,” helping teams ship software faster while maintaining security and governance throughout the entire software delivery lifecycle. Powered by Harness AI and the Software Delivery Knowledge Graph, the Harness Platform applies deep context and intelligent automation across the software delivery lifecycle with governance and policy-driven controls embedded throughout the platform. Over the past year, Harness powered over 185M deployments, 82M builds, 18T flag evaluations, 8M security scans, 9.1B optimized tests, 3T protected API calls, and helped manage $2.8B in cloud spend — enabling customers like United Airlines, Morningstar, and Choice Hotels to accelerate releases by up to 75%, reduce cloud costs by up to 60%, and achieve 10x DevOps efficiency. With a global team across 14 offices and 25 countries, Harness is shaping the future of AI software delivery — and we’re looking for exceptional talent to help us move even faster. Position Summary We are seeking a Senior Customer Engineer with deep hands-on experience in CI/CD systems, Infrastructure-as-Code (IaC), and modern database architectures. This is a customer-facing, software engineering-focused role — not traditional support. You’ll be solving highly technical issues, guiding implementation, triaging edge-case bugs, and representing customer feedback to Product and Engineering. Our customers are seeking out people who can consult, understand the full DevOps process and stack, and guide them to the best outcomes. This candidate should also have a passion for and understanding of reporting and data analytics. The specialty for this role is our reporting and data analytics modules, how that data drives our customers at the managerial and executive levels, and the automation that supports the data. You’ll work across all layers of the stack — from YAML pipeline configurations to IaC templates to service-side debugging. This is a high-impact role that bridges deep technical understanding with excellent customer interaction About the role Own end-to-end resolution of complex customer issues across the CI/CD stack — pipelines, deployments, runners, artifacts, integrations, and more. Troubleshoot and debug infrastructure automation (Auto-stopping, Recommendations, and execution and metrics data) from sources such as Cloudwatch, Google Cloud Operations/Stackdriver, and Azure Monitor Experience with cloud platforms (AWS, GCP, Azure), especially in automation and cloud cost administration, and a deep understanding of FinOps methodologies. Serve as a CI/CD subject matter expert to enterprise customers during onboarding, implementation, and expansion across Harness modules. Lead incident triage and root cause analysis during escalations, coordinating cross-functionally and providing detailed feedback to engineering. Provide advanced technical guidance on database integrations (PostgreSQL, MongoDB, MySQL, etc.), secrets management, and service-to-service communication. Work with BI and Looker-related data modules within Harness (SEI, CCM, Dashboards, and Metrics) and provide scaling, performance, and best practices for embedded analytics Troubleshoot and debug SQL transformations and Looker/Big Query data streams Develop and share reusable best-practice templates, “blueprints,” and playbooks for in-product dashboards and KPIs. Act as a senior escalation point for the Customer Engineering t ... (truncated, view full listing at source)
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