About the company
At Navan, “It’s all about the user. All of them.” We’re passionate about providing a seamless one-stop experience for business travelers, no matter how they travel, where they stay, or where they’re going.
Responsibilities
- Building a fast moving, high growth service.
- Designing, implementing and operating cloud infrastructure.
- Identifying reliability anti-patterns and solving them systemically.
- Finding and automating the toil out of our processes.
- Leveraging AI tools and platforms in your daily work to achieve autonomous operations, reduce toil, and improve system observability.
- Defining and driving the adoption of system reliability standards, including formalizing SLO/SLI frameworks, observability standards, and blameless post-mortem practices across multiple engineering teams.
- Driving the adoption of AI-assisted developer tools and platforms to increase engineering productivity, enforce code quality standards, and enable real-time architectural validation.
Requirements
- 5+ years of progressive experience as a Senior SRE or DevOps Lead (or equivalent role)
- 2+ years of experience in working on a production, 24x7 product environment
- Passionate about solving problems and learning new tools and technologies
- Excellent communication skills working with stakeholders and domain experts across the company to design solutions to user problems
- Thrive in a fast-paced environment
- Demonstrated experience mentoring and leading junior and mid-level engineers, and acting as a technical owner for cross-functional infrastructure projects.
- Operate with a strong sense of ownership demonstrated through shipping production-quality code and infrastructure equipped with testing, monitoring and documentation
- Hands-on operational experience with Java based applications and services including JVM profiling and performance tuning (python, Node.js and Go are a plus)
- Hands-on experience building and operating distributed systems in a public cloud environment (preferably AWS), using CI/CD to deploy, manage and operate production systems, focusing on tooling and automation using tools such as maven and Jenkins.
- Hands-on experience with microservice architecture and related reliability and resiliency patterns such as throttling, queueing, and retries
- Hands-on experience with writing Infrastructure as Code in Terraform or Cloudformation or similar tools
- A passion for automating away everything, using scripting languages such as python, bash groovy (we prefer lazy engineers)
- Built, using, and automating monitoring systems such as NewRelic, DataDog, SignalFX, Kibana,
- Hands-on experience deploying, operating, and monitoring production-grade AI/ML microservices (e.g., RAG pipelines, agentic systems) on cloud platforms like AWS Fargate/ECS.
- Experience leveraging AI/LLM platforms (e.g., Gemini, Braintrust) and managing their secrets and infrastructure using Infrastructure as Code (Terraform) and AWS SSM.
- Demonstrated ability to integrate AI-specific telemetry and advanced observability practices to enable predictive insights and systemic root-cause analysis.