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Cloud Engineer

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: Menlo Ventures
Full Time position
Listed on 2025-11-23
Job specializations:
  • IT/Tech
    Cloud Computing, Systems Engineer, SRE/Site Reliability
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: Staff Cloud Engineer

Harness is a high-growth company that is disrupting the software delivery market. Our mission is to enable the 30 million software developers in the world to deliver code to their users reliably, efficiently, securely and quickly, increasing customers’ pace of innovation while improving the developer experience. We offer solutions for every step of the software delivery lifecycle to build, test, secure, deploy and manage reliability, feature flags and cloud costs.

The Harness Software Delivery Platform includes modules for CI, CD, Cloud Cost Management, Feature Flags, Service Reliability Management, Security Testing Orchestration, Chaos Engineering, Software Engineering Insights and continues to expand at an incredibly fast pace.

Harness is led by technologist and entrepreneur Jyoti Bansal, who founded App Dynamics and sold it to Cisco for $3.7B. We’re backed with $425M in venture financing from top-tier VC and strategic firms, including J.P. Morgan, Capital One Ventures, Citi Ventures, Service Now, Splunk Ventures, Norwest Venture Partners, Adage Capital Partners, Balyasny Asset Management, Gaingels, Harmonic Growth Partners, Menlo Ventures, IVP, Unusual Ventures, GV (formerly Google Ventures), Alkeon Capital, Battery Ventures, Sorenson Capital, Thomvest Ventures and Silicon Valley Bank.

Position

Summary

As a Staff 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, Cloud Formation, 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.
Required

Skills and Qualifications Technical Expertise
  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • 5+ 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 & Dev Ops
  • Expertise in building and managing CI/CD pipelines using tools like Jenkins, Git Lab CI, or Circle

    CI.
  • Strong coding skills (Python, Go, etc.) and familiarity with version control systems (Git).
Security & Compliance
  • Understanding of security best…
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