Harness

Harness

Staff Software Engineer - Cloud Platform Engineering

U.S · Staff+

Sponsorship not specified$180k-$200kDetected 38 days ago
PythonGoGitAWSGCPAzureCloud PlatformsKubernetesTerraformAnsibleHelmCI/CDJenkinsCircleCIPrometheusGrafanaDevOpsSite Reliability EngineeringPlatform EngineeringCybersecurityComplianceForecastingValuationControls

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odds of building a lasting career here

61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

10 transfer filings in the last year, covering 10 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • 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.

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.
  • 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.
  • Deploy, manage, and scale applications using Kubernetes (K8s).
  • 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.
  • Implement security best practices and perform regular security audits and assessments.

Requirements

  • This role requires a strong technical background, a passion for innovation, and the ability to work collaboratively in a fast-paced environment.

Nice to have

  • 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
  • Experience with SRE principles, including error budgets, SLIs, SLOs, and incident management.
  • Strong knowledge of monitoring and observability tools (Prometheus, Grafana, GCM).
  • Strong coding skills (Python, Go, etc.) and familiarity with version control systems (Git).

Skills

  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills, with a proactive and innovative approach.
  • US- Remote
  • How Harness runs 16 "startups within a startup" at scale | Jyoti Bansal
  • Harness Research Shows AI Visibility Crisis Fueling Security Nightmare
  • Work Location
  • Pay transparency
  • $180,000 - $200,000 USD
  • Harness in the news:
  • All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or national origin.

Compensation

  • $180,000 - $200,000 USD

Company info

  • 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.
  • 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.
  • At Harness, we care about your privacy and are committed to protecting your personal data.
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This listing is sourced directly from Harness's careers page and normalized into a canonical job model.