Senior/Lead Software Engineer, Site Reliability

What you'll do

• Own the reliability roadmap to evolve startup-speed architectures into highly available, globally scalable systems.
• Design and ship infrastructure, automation, and cost-efficient platform capabilities for isolated public-cloud environments.
• Support the scaling and deployment of AI/ML infrastructure to ensure reliable and cost-effective compute capabilities.
• Define and maintain Infrastructure as Code tools to create robust, "push-button" deployment processes.
• Design and build internal systems for testing, releasing, and diagnosing products with minimal engineering involvement.
• Strengthen identity and access controls, networking, workload isolation, and secret management to ensure security by default.
• Diagnose and prioritize architectural problems across distributed backend systems to drive foundational technical improvements.
• Mentor engineers on backend architecture and system design to improve team engineering judgment and collaboration.

What we're looking for

• 5+ years of experience in SRE, Production Engineering, or Backend Engineering with a heavy focus on operations and infrastructure.
• Proficiency in Kubernetes, Terraform/OpenTofu, and AWS/GCP/Azure.
• Ability to write and review production-level code in Golang, TypeScript, or Python.
• Deep understanding of distributed systems, including microservices, databases, and AI agents.
• Mastery of Golang, GraphQL, and PSQL with experience in RDS, Redis/Elasticache, and EKS.
• Expertise in data modeling, db performance tuning, state management, API design, transactionality, concurrency, memory management, fault tolerance, and scaling.
• Advanced Degree in Computer Science or equivalent practical experience (preferred).
• B.S. in Computer Science (M.S. preferred).