Jobs / Ser***
Senior Staff AI-Native DevOps Engineer
Ser*** · Santa Clara, CA, United States
Santa Clara, CA, United StatesExp: 8+ yrs201,300-352,300 USD/yearlyRemote
Remuneration
Equity when applicable, variable or incentive compensation, and benefits
Location
Santa Clara, CA, United States
Visa sponsorship
Sponsors visa
Job summary
Lead a new DevOps practice responsible for building, deploying, and operating the systems behind a conversational AI platform across SaaS environments. The role covers Kubernetes infrastructure, CI/CD and GitOps workflows, infrastructure as code, observability, and incident response for distributed services, including production LLM-powered applications. The focus is secure, measurable delivery that improves deployment velocity, reliability, and operational efficiency.
Benefits
Health plansFlexible spending accounts401(k) plan with company matchEmployee stock purchase planMatching donationsFlexible time away planFamily leave programsEquity when applicable
Qualifications
- At least 8 years of related software engineering, infrastructure engineering, or DevOps experience.
- At least 6 years deploying and operating containerized applications and distributed services in production.
- At least 4 years of hands-on Kubernetes, cloud infrastructure, and infrastructure automation experience.
- Proficiency in Go, Python, Bash, or a similar language, with experience building production-grade automation and tooling.
- Experience designing and operating scalable, reliable, and secure cloud-native applications and infrastructure.
- Experience leading complex infrastructure initiatives and driving best practices across teams.
- Working knowledge of large language models, generative AI, agentic architectures, and their operational considerations.
- Practical experience validating, debugging, and safely integrating AI-generated code.
Responsibilities
- Lead a DevOps practice for conversational AI platform systems.
- Deploy, scale, and operate distributed microservices in production Kubernetes environments.
- Build infrastructure automation with infrastructure as code and Kubernetes-native tooling.
- Build and maintain CI/CD pipelines and GitOps workflows for testing, deployment, and releases.
- Implement observability, monitoring, and incident response practices.
- Perform root cause analysis and drive remediation to improve availability and resilience.
- Architect and optimize public and private cloud infrastructure for security, scalability, and cost efficiency.
Skills
AnsibleArgo CDBashGitHubGitHub ActionsGoHelmJenkinsKubernetesPythonServiceNowTektonTerraformGitGrafanaPrometheus
Languages
GoPythonBash
Industry
Conversational AI
Relocation
No