Site Reliability Engineer II: Scalable Cloud & Automation

Navan; Palo Alto (CA); Presencial; USD 86.000 - 192.000; Jornada completa

Descripción de la vacante

Navan, headquartered in Palo Alto, CA, is seeking a Site Reliability Engineer to design and develop tooling, automation and infrastructure services powering Navan's travel and expense platform. You will collaborate with security, release, and product teams to deliver scalable, reliable systems and autonomous operations.

You will work across diverse systems, driving uptime, performance and maintainability while embracing AI-assisted tooling to reduce toil and improve observability.

Formación

• 2+ years of progressive experience as an SRE or equivalent role.
• Ownership mindset with ability to ship production-quality code and infrastructure with testing, monitoring and docs.
• Experience with cloud infrastructure, IaC and deployment pipelines.
• Ability to analyze data to improve reliability and observability.
• Willingness to collaborate with cross-functional teams in Palo Alto.

Responsabilidades

• Build and operate a fast-moving, high-growth service.
• Design, implement and run cloud infrastructure with IaC and deployment pipelines.
• Identify reliability anti-patterns and drive systemic improvements.
• Automate toil and build tools to empower users and reduce gatekeeping.
• Leverage AI tools to achieve autonomous operations and better observability.
• Define and adopt system reliability standards (SLO/SLI, observability).
• Assist in AI-assisted developer tools to boost productivity and code quality.

Conocimientos

SRE experience

Cloud infra

Automation

Observability

Infrastructure as code

Descripción del empleo

Navan, headquartered in Palo Alto, CA, is seeking a Site Reliability Engineer to design and develop tooling, automation and infrastructure services powering Navan's travel and expense platform. You will collaborate with security, release, and product teams to deliver scalable, reliable systems and autonomous operations.

You will work across diverse systems, driving uptime, performance and maintainability while embracing AI-assisted tooling to reduce toil and improve observability.