[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) # Staff/Senior Software Engineer – Cloud Platform Engineering 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)SalaryUSD 200k–250k / yrDepartment[DevOps & Infrastructure](https://jobicy.com/categories/admin.md)EmploymentFull TimeExperienceSeniorPublished2 Nov 2026Apply before2 Dec 2026Listing views46Application actions4Application 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 seeking a Staff/Senior Cloud Engineer to design, operate, and scale secure cloud infrastructure for its AI software delivery platform. The role combines cloud engineering, DevOps, and SRE responsibilities, including infrastructure as code, Kubernetes operations, observability, capacity planning, and incident management. The engineer will build CI/CD automation, implement cloud security and compliance practices, and partner closely with product, development, and operations teams. Candidates need 7+ years of relevant experience plus strong expertise in AWS, GCP, or Azure, Terraform, Kubernetes, Helm, monitoring tooling, and Python or Go. This senior individual-contributor position also includes mentoring engineers and driving technical improvements across the platform. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 4/5IndependentCollaborative AI insightThis is a senior platform role requiring deep hands-on expertise across cloud infrastructure, Kubernetes, SRE, automation, security, and reliability engineering. The scope includes architecture decisions, operational accountability, and technical mentorship in a fast-moving software delivery environment. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$225,000US market range (per year)$190k–$275k0$302.50k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses a pay-transparency range of $200,000–$250,000 USD. Although no cadence is stated, the period is inferred as yearly based on the US location, staff/senior engineering level, full-time context, and compensation magnitude. The estimated US annual market range for a Staff/Senior Cloud Platform Engineer is $190,000–$275,000 USD. ## Core skills Skills and capabilities most closely associated with this opportunity. [Cloud engineering](https://jobicy.com/jobs?search_keywords=Cloud%20engineering.md)[Site reliability engineering](https://jobicy.com/jobs?search_keywords=Site%20reliability%20engineering.md)[AWS](https://jobicy.com/jobs?search_keywords=AWS.md)[Google Cloud Platform](https://jobicy.com/jobs?search_keywords=Google%20Cloud%20Platform.md)[Microsoft Azure](https://jobicy.com/jobs?search_keywords=Microsoft%20Azure.md)[Terraform](https://jobicy.com/jobs?search_keywords=Terraform.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[Helm](https://jobicy.com/jobs?search_keywords=Helm.md)[CI/CD pipelines](https://jobicy.com/jobs?search_keywords=CICD%20pipelines.md)[Prometheus](https://jobicy.com/jobs?search_keywords=Prometheus.md)[Grafana](https://jobicy.com/jobs?search_keywords=Grafana.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[Go](https://jobicy.com/jobs?search_keywords=Go.md)[Infrastructure as code](https://jobicy.com/jobs?search_keywords=Infrastructure%20as%20code.md)[Incident management](https://jobicy.com/jobs?search_keywords=Incident%20management.md) Sample interview questionsHow would you design a reliable multi-region Kubernetes platform for a business-critical service?I would begin with service availability objectives and failure scenarios, then use independent regional clusters, infrastructure as code, automated deployment controls, and tested failover procedures. I would implement health checks, autoscaling, resilient data replication appropriate to the workload, and observability for latency, errors, saturation, and availability. Regular game days and disaster-recovery tests would validate that the design meets its recovery objectives. How do you use SLIs, SLOs, and error budgets to guide reliability work? I define SLIs that represent the user experience, such as successful request rate, latency, or deployment success rate, and set SLOs with product stakeholders. The error budget quantifies acceptable unreliability and helps balance feature delivery against reliability investment. When consumption exceeds the agreed budget, I prioritize remediation, reduce risky changes, and use the incident and trend data to address systemic causes. Describe how you would structure Terraform for a large cloud environment used by multiple teams. I would create reusable, versioned modules for common platform capabilities and keep environment-specific composition in separate root configurations. Remote state would be secured, isolated by appropriate boundaries, and accessed through controlled CI workflows. I would enforce reviewable plans, policy checks, least-privilege cloud roles, documentation, and module testing to make changes safe and consistent. What is your approach to improving an unreliable CI/CD pipeline? I first measure pipeline duration, failure rates, flaky stages, rollback frequency, and the reasons for manual intervention. I then improve determinism through isolated builds, dependency caching, stable test environments, clear artifact promotion, and automated quality and security gates. For deployments, I favor progressive delivery, observable release health checks, and rapid rollback mechanisms so failures are contained and diagnosable. How would you respond to a high-severity production incident involving elevated latency and error rates? I would establish incident ownership and communication channels, assess customer impact, and stabilize the service through safe mitigation such as rollback, traffic shaping, or scaling. I would use dashboards, logs, traces, and recent-change history to test hypotheses while keeping stakeholders informed at a predictable cadence. After recovery, I would lead a blameless review with concrete corrective actions, owners, and follow-up verification. 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. 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 As a Staff/Senior Cloud Engineer at Harness, you will play a pivotal role in designing, building, and maintaining our cloud infrastructure. You will be responsible for ensuring the reliability, scalability, and performance of our systems, incorporating a blend of Cloud Engineering and Site Reliability Engineering (SRE) practices. This role requires a strong technical background, a passion for innovation, and the ability to work collaboratively in a fast-paced environment. Key Responsibilities Cloud Infrastructure Design & Implementation: * Design, build, and manage scalable, secure, and reliable cloud infrastructure using GCP, AWS or Azure. * Develop infrastructure-as-code using tools such as Terraform, CloudFormation, or similar. Site Reliability Engineering (SRE): * Implement SRE practices to ensure the reliability, availability, and performance of cloud services. * Develop and maintain monitoring, logging, and alerting systems to detect and address issues proactively. * Perform capacity planning and demand forecasting to ensure system scalability and performance. Automation & CI/CD: * Deploy, manage, and scale applications using Kubernetes (K8s). * Utilize Helm for packaging, deploying, and managing applications on Kubernetes. * Design and implement continuous integration and continuous deployment (CI/CD) pipelines to automate the delivery of applications and infrastructure. * Develop automation scripts and tools to streamline operations and improve efficiency. Security & Compliance: * Ensure cloud infrastructure and applications meet security and compliance standards. * Implement security best practices and perform regular security audits and assessments. Collaboration & Mentorship: * Collaborate with cross-functional teams including developers, product managers, and operations to deliver high-quality solutions. * Mentor and guide junior engineers, sharing best practices and fostering a culture of continuous improvement. About You Technical Expertise: * Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience. * 7+ years of experience in cloud engineering, site reliability engineering, or related roles. * Strong experience with cloud platforms (AWS, GCP, Azure) and cloud-native services. * Proficiency in infrastructure-as-code tools (Terraform), Helm package manager and configuration management tools (Ansible, Chef, Puppet) * Experience with AI-OPS SRE Practices: * Experience with SRE principles, including error budgets, SLIs, SLOs, and incident management. * Strong knowledge of monitoring and observability tools (Prometheus, Grafana, GCM). Automation & DevOps: * Expertise in building and managing CI/CD pipelines using tools like Jenkins, GitLab CI, CircleCI or Harness * Strong coding skills (Python, Go, etc.) and familiarity with version control systems (Git). Security & Compliance: * Understanding of security best practices for cloud infrastructure and applications. * Experience with compliance frameworks (ISO 27001, SOC 2, PCI DSS) is a plus. Soft Skills: * Excellent problem-solving skills and attention to detail. * Strong communication and collaboration skills, with a proactive and innovative approach. Work Location * United States (Remote) Pay transparency $200,000—$250,000 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. 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