Jobs / Ser***
Staff AI-Native DevOps Engineer
Ser*** · Santa Clara, CA, United States
Santa Clara, CA, United StatesExp: 8+ yrs176,100-308,200 USD/yearlyRemote
Remuneration
Equity when applicable, variable or incentive compensation, health plans including flexible spending accounts, 401(k) plan with company match, ESPP, matching donations, flexible time away plan, and family leave programs
Location
Santa Clara, CA, United States
Visa sponsorship
Sponsors visa
Job summary
The Staff AI-Native DevOps Engineer owns the build, deployment, and reliability of a conversational AI platform across SaaS environments. The role develops Kubernetes infrastructure, CI/CD and GitOps workflows, infrastructure automation, and observability for agent orchestration and MCP- and A2A-connected services. It also supports production LLM applications, with a focus on secure delivery, deployment velocity, and service reliability.
Benefits
Health plans, including flexible spending accounts401(k) plan with company matchESPPMatching donationsFlexible time away planFamily leave programsEquity when applicableVariable or incentive compensation
Qualifications
- At least 8 years of relevant software, infrastructure, DevOps, or related 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 programming or scripting language.
- Experience building production-grade infrastructure tooling and automation.
- Experience leading infrastructure initiatives and establishing engineering practices across teams.
- Working knowledge of LLMs, Generative AI, agentic architectures, and their operational considerations.
- Practical experience using AI-assisted development tools and validating AI-generated code.
- Understanding of model inference, retrieval-augmented generation, tool calling, and agentic workflows.
Responsibilities
- Deploy, scale, and operate distributed microservices in production Kubernetes environments.
- Design infrastructure automation using Infrastructure as Code and Kubernetes-native tooling.
- Build and maintain CI/CD pipelines and GitOps workflows.
- Implement observability, monitoring, and incident response practices.
- Perform root cause analysis and remediate issues to improve availability and resilience.
- Architect and optimize infrastructure across public and private cloud environments.
- Deploy, operate, and troubleshoot AI-powered services in production.
- Partner with scientists and engineers to improve secure, measurable AI-native delivery.
Skills
AnsibleArgo CDBashGitHubGitHub ActionsGoHelmJenkinsKubernetesPythonServiceNowTektonTerraform
Languages
GoPythonBash
Industry
Conversational AISaaS
Relocation
No