Harness Logo

Harness

Staff/Senior Software Engineer - Cloud Platform Engineering

Posted 16 Days Ago
Remote
Hiring Remotely in U.S.
200K-250K Annually
Senior level
Remote
Hiring Remotely in U.S.
200K-250K Annually
Senior level
Design, build, and maintain scalable cloud infrastructure using AWS, GCP, or Azure. Implement SRE practices, monitoring, observability, capacity planning, Kubernetes and Helm deployments, CI/CD pipelines, automation, and cloud security controls. Collaborate with cross-functional teams, ensure compliance, and mentor engineers while improving reliability, availability, scalability, and performance.
The summary above was generated by AI

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
  • 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

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/

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.

Similar Jobs

7 Minutes Ago
Remote or Hybrid
16 Locations
150K-220K Annually
Expert/Leader
150K-220K Annually
Expert/Leader
Information Technology • Productivity • Software • Infrastructure as a Service (IaaS)
Leads and grows a distributed software engineering team responsible for developing and maintaining NinjaOne SaaS products. Provides technical direction, participates in architecture, code reviews, integrations, and deployments, and partners with product, platform, and project management teams. Oversees engineering operations, team mentoring, software quality, continuous improvement, and successful product delivery across UI, mobile, server, and agent systems.
Top Skills: APIsAWSC++Caching SystemsCi/CdGoJavaKey-Value DatabasesKotlinPostgres
13 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
139K-235K Annually
Senior level
139K-235K Annually
Senior level
Cloud • Security • Software • Cybersecurity • Automation
Own the vision and roadmap for GitLab Dedicated’s Switchboard control plane. Partner with engineering and site reliability teams to improve infrastructure operations, upgrades, maintenance, customer configuration, networking, authentication, health visibility, migrations, and incident management. Engage directly with customers, simplify complex technical workflows, prioritize across user experience and operational efficiency, and guide product decisions in an evolving problem space.
Top Skills: Cloud Management ConsolesDevsecopsGitlabGitlab DedicatedPrivate NetworkingSite Reliability Engineering
14 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
236K-325K Annually
Expert/Leader
236K-325K Annually
Expert/Leader
Big Data • Fintech • Mobile • Payments • Financial Services
Lead Affirm’s zero-to-one product initiatives in partnership with the CEO and executive team. Own product vision, strategy, roadmap, discovery, prototyping, experimentation, launch, and iteration for new products and platforms. Analyze customer behavior, define success metrics, write product content, and coordinate engineering, design, data, risk, operations, revenue, legal, and compliance teams. This hands-on role has no direct people-management responsibilities and requires strong judgment in ambiguous environments.

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account