Staff Infrastructure Software Engineer, Addepar

• The ideal candidate will play a staff, leading role in defining, implementing, and strategically evolving Addepar’s AI Production infrastructure and the products it delivers
• Extensive experience as a Software/Backend Engineer, with a track record of taking on increasing responsibility
• Experience across the full product lifecycle: designing, implementing, shipping, scaling, operationalizing, and maintaining technology/SaaS products
• Exceptional Programming skills and fundamentals in Python/Go/Java, with a proven track record of building large scale production systems
• Proficient experience with diverse compute environments including microservices (K8s), Databricks and serverless architectures (e.g. AWS Lambda)
• Demonstrable experience leading initiatives with infrastructure-as-code tools such as Terraform in complex, multi-account environments
• Proficient experience with comprehensive monitoring and alerting stacks (e.g. Prometheus/Grafana/Sentry/cloud-native tools), with a focus on observability strategy
• Excellent interpersonal and communication skills to effectively collaborate with multi-functional teams, articulate complex technical concepts, and influence outcomes

Desirable

• We are currently seeking a Staff Software Engineer to join the AI Platform team to drive the design, architecture, and production posture of Addepar’s AI Platform and our products and solutions
• This team is at the center of Addepar's mission to integrate AI across our product suite and is growing quickly
• This role focuses on building a scalable platform and infrastructure to power deep, rich AI capabilities and products
• As the AI platform expands, you will be a central architect of the "Core Platform" layer – building the managed services, serving infrastructure, observability, and cross-platform integrations that turn experimental AI capabilities into scalable production software
• This includes productionizing the cutting edge of the latest AI developments like agents, MCP, computer use, etc; alongside designing and automating the operational backbone of Addepar's AI stack
• This includes designing, deploying, monitoring, automating, and optimizing all operational aspects of Addepar's AI platform with a focus on reliability, scalability, and efficiency
• You'll design and build the production runtime for LLM-based agents and products, creating the services and infrastructure that serve autonomous agents
• Develop deep application-level knowledge to proactively inform and influence requirements, constraints and best practices for implementing composable, complex AI systems
• Lead the design, implementation, and automation of production infrastructure on a variety of cloud environments (Kubernetes/Databricks), to enable us to ship and scale AI features instantly
• Evangelize and promote disciplined, best engineering practices to enforce strong production hygiene and culture
• Initiate and lead collaborations with cross-functional teams to identify and resolve complex application or infrastructure issues, serving as a technical subject matter expert
• Architect, build, and maintain advanced, automated CI/CD pipelines e.g. using Jenkins, ArgoCD, AWS CodeBuild/Pipeline, GitHub Actions, or similar, establishing best practices for deployment strategies (e.g., blue/green, canary)
• Develop systems and best practices monitoring, alerting, and troubleshooting of our probabilistic and AI-driven systems and broader software stack