[All remote jobs](https://jobicy.com/jobs.md)[![Harness logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2022/01/3b1ed4078f521827fd4fd3f1ead4e484.jpg)](https://jobicy.com/company/harness.md)[Harness](https://jobicy.com/company/harness.md) # Customer Experience Engineer I/II Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/harness.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md), [Canada](https://jobicy.com/job-region/canada.md)SalaryUndisclosedDepartment[Technical Support](https://jobicy.com/categories/technical-support.md)EmploymentFull TimeExperienceSeniorPublished10 Oct 2026Apply before9 Nov 2026Listing views44Application actions2Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. Harness is hiring a Customer Experience Engineer I/II to resolve complex enterprise technical cases involving CI/CD pipelines, deployments, connectivity, and infrastructure configuration. The role combines customer-facing technical support with hands-on DevOps and platform engineering across Kubernetes, ECS, Docker, and AWS, GCP, or Azure. The engineer will conduct triage and root-cause analysis, participate in customer calls, create diagnostic tooling, and contribute small product fixes and documentation. This position is suited to an early-career or developing DevOps/SRE professional who can work independently on production issues while learning from senior engineers. The role also offers growth into customer build engagements, observability, Infrastructure-as-Code, and AI/LLM tooling. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 4/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 4/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThe role requires troubleshooting ambiguous production issues spanning cloud infrastructure, containers, networking, and CI/CD systems. It also demands clear customer communication and the ability to translate recurring technical problems into reusable tools and runbooks. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianMarket rate$117,500US market range$95k–$145k0$160k AI insightThe disclosed annual salary range is $100,000 to $135,000 USD, with a midpoint of $117,500. For a US-based Customer Experience Engineer with DevOps, cloud, Kubernetes, and customer-facing troubleshooting responsibilities, an estimated US market range is $95,000 to $145,000 annually; actual market pay varies by location, level, and depth of production engineering experience. ## Core skills Skills and capabilities most closely associated with this opportunity. [Technical support](https://jobicy.com/jobs?search_keywords=Technical%20support.md)[Customer engineering](https://jobicy.com/jobs?search_keywords=Customer%20engineering.md)[DevOps](https://jobicy.com/jobs?search_keywords=DevOps.md)[Site reliability engineering](https://jobicy.com/jobs?search_keywords=Site%20reliability%20engineering.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[Docker](https://jobicy.com/jobs?search_keywords=Docker.md)[CI/CD](https://jobicy.com/jobs?search_keywords=CICD.md)[Cloud infrastructure](https://jobicy.com/jobs?search_keywords=Cloud%20infrastructure.md)[Linux networking](https://jobicy.com/jobs?search_keywords=Linux%20networking.md)[Python scripting](https://jobicy.com/jobs?search_keywords=Python%20scripting.md) Sample interview questionsHow would you investigate a failed deployment pipeline for an enterprise customer?I would first confirm the scope, recent changes, error messages, and business impact. I would review pipeline logs, deployment configuration, credentials, environment variables, and target-cluster health, then isolate whether the failure originates in the build, artifact, connectivity, permissions, or deployment stage. I would communicate findings and next steps throughout the investigation, document the root cause, and identify a preventive improvement such as validation, monitoring, or a runbook. Describe how you would troubleshoot a Kubernetes workload that is failing to start. I would inspect pod status and events with kubectl, review container logs, and check deployment manifests for image, command, resource, secret, config map, and probe configuration errors. I would also verify namespace policies, service-account permissions, node capacity, image-pull access, and any networking dependencies. After reproducing or validating the issue, I would provide a concise explanation, corrective configuration, and a recommendation to prevent recurrence. What makes communication effective during a customer incident call? Effective incident communication is structured, factual, and audience-aware. I would establish the impact and objective, explain what is known and unknown, state the next diagnostic action and expected timing, and avoid speculation. I would translate technical findings for managers while retaining enough detail for engineers, then send a written summary of the root cause, resolution, and follow-up actions. How have you used scripting to improve support or operational work? I look for repetitive diagnostic steps such as collecting logs, checking service health, validating configuration, or comparing deployment metadata. I would automate those checks with Python, Bash, or Node.js, produce actionable output, and make the script safe and easy for teammates to use. I would then document the tool and measure whether it reduces investigation time or prevents common errors. How would you prioritize several customer cases with different severity levels? I would prioritize by production impact, number of affected users, security or data-risk implications, contractual severity commitments, and availability of workarounds. I would acknowledge each customer promptly, set clear expectations, and escalate high-severity issues while continuing to progress lower-severity cases through documented triage. I would reassess priorities as new evidence emerges and ensure handoffs and status updates are complete. Opportunity details ## About this role. 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 26 offices and 27 countries, Harness is shaping the future of AI software delivery — and we’re looking for exceptional talent to help us move even faster. ### About the Role Join 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 Into This 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](https://www.harness.io/blog/240m-financing-to-bring-ai-to-everything-after-code) * [Goldman Sachs leads investment in software delivery startup Harness at $5.5 billion valuation](https://www.cnbc.com/2025/12/11/harness-is-worth-5point5-billion-in-round-led-by-goldman-sachs.html) * [How Harness runs 16 “startups within a startup” at scale | Jyoti Bansal](https://www.youtube.com/watch?v=LvOYXKAyAqs) * [Harness Research Shows AI Visibility Crisis Fueling Security Nightmare](https://www.digit.fyi/ai-visibility-crisis-fuelling-security-nightmare/) * [Harness has been named to the Inc. Power Partner list for software delivery success](https://www.harness.io/blog/we-made-inc-s-2025-power-partners-list-again---heres-why-it-matters) All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or national origin. At Harness, we care about your privacy and are committed to protecting your personal data. For additional information on this topic, you can visit our privacy Portal: [https://harness-privacy.relyance.ai/](https://harness-privacy.relyance.ai/) 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 [security@harness.io](mailto:security@harness.io). 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)](https://consumer.ftc.gov/articles/job-scams)), or you can contact your local law enforcement agency. Show more [Apply now >](https://jobicy.com/jobs/154968-customer-experience-engineer-i-ii.md) > Annual salary information is not provided for this position. 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