DevOps Engineer, Lighthouse

• We are hiring for a DevOps Engineer who is passionate about problem solving, scalable cloud engineering, automation and microservices, data architectures, complex data transformations, handling large data streams on the fly, and wants to see their work translated into real life applications
• Experience in a DevOps, with a proven track record of being part of the design process
• Familiarity with cloud platforms in general (like GCP, Azure, or AWS)
• Knowledge of Kubernetes, including what it is and how its components interact
• You are a forward-thinking builder who views AI as a core component of modern architecture. You have a proven interest (or experience) in working with LLMs, agentic workflows, or AI-assisted coding tools to ship higher-quality code, faster
• A proactive mindset with a passion for getting things done and a high bar for quality
• Fluent in English with strong communication skills
• Not ticking every box? No problem! We value diverse backgrounds and unique skill sets. If your experience looks a little different from what we've described, but you're passionate about what we do and are a quick learner, we'd love to hear from you

Desirable

• Automate the deployment, operation, and monitoring of our applications in a reproducible and scalable way using GitOps principles
• Enhance the productivity of over 150 engineers by rethinking and improving CI/CD pipelines and developer workflows
• Take ownership of our cloud infrastructure, including setup, maintenance, scaling, and disaster recovery strategies
• Drive the evolution of our tech stack by researching, experimenting with, and implementing new technologies to improve our platform
• Collaborate closely with the security team to ensure all services and infrastructure adhere to strict security guidelines
• Build out and maintain robust monitoring, alerting, and tooling to ensure platform reliability and performance
• Provide expert support and guidance to your peers and other engineering teams in our open and collaborative environment
• Drive engineering velocity by smartly applying AI to speed up development and leveraging AI and automation to streamline complex debugging, root-cause investigations, and recurring tasks
• The DevOps team is part of the Platform horizontal. This is the team responsible for creating and maintaining the tooling, deployment methods, and cloud infrastructure that all other product, integration, and data engineers use throughout the entire engineering lifecycle
• Technologies you will work with:
• Google Cloud Platform, Kubernetes, Terraform, Istio, ArgoCD, Prometheus, Python, Golang, cdk8s, Helm, FoundationDB, Mimir, Grafana, Typescript, Kubernetes, Claude, Gemini