Harness
Harness
Harness is an AI-native software delivery company serving engineering and DevOps teams with tools for building, releasing, securing, and operating software. Its SaaS platform brings together continuous integration and delivery, GitOps, feature management and experimentation, infrastructure as code, chaos engineering, software supply chain security, and cloud cost management. Harness AI adds automation across delivery workflows, helping teams improve developer productivity, modernize DevOps practices, and manage cloud spending more effectively. Founded in 2016, the company operates in software, SaaS, and cybersecurity and supports a team of 501–1,000 employees.

Staff/Senior Cloud Platform Software Engineer

Build and operate scalable, secure cloud infrastructure for Harness’s AI software delivery platform. Improve deployment automation, reliability, observability, and CI/CD across leading cloud environments.

Description

  • Architect, develop, and operate secure, resilient, and scalable infrastructure across GCP, AWS, or Azure
  • Create infrastructure as code with Terraform, CloudFormation, or comparable tools
  • Apply SRE practices to maintain cloud-service reliability, availability, and performance
  • Build and support monitoring, logging, and alerting capabilities
  • Plan capacity and forecast infrastructure demand
  • Deploy, operate, and scale applications on Kubernetes
  • Package, release, and manage Kubernetes applications with Helm
  • Create and maintain CI/CD pipelines for infrastructure and applications
  • Build automation scripts and tools that improve operational efficiency
  • Maintain compliance with infrastructure and application security requirements
  • Apply security controls and conduct security audits and assessments
  • Partner with engineering, product, and operations teams
  • Coach junior engineers and promote effective engineering practices

Requirements

  • Bachelor’s degree in computer science, engineering, or a related discipline, or equivalent experience
  • At least 7 years of experience in cloud engineering, site reliability engineering, or a related field
  • Advanced experience with AWS, GCP, Azure, and cloud-native services
  • Proficiency with Terraform, Helm, and configuration management tools including Ansible, Chef, or Puppet
  • Experience working with AIOps
  • Knowledge of SRE practices such as error budgets, SLIs, SLOs, and incident management
  • Strong familiarity with Prometheus, Grafana, and GCM
  • Expertise building CI/CD pipelines with Jenkins, GitLab CI, CircleCI, or Harness
  • Strong programming ability in Python, Go, or comparable languages
  • Working knowledge of Git and version control systems
  • Understanding of cloud infrastructure and application security best practices
  • Strong problem-solving, attention to detail, communication, and collaboration skills

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