Staff Backend Engineer, Artera

• Bachelor’s degree in STEM
• 10+ years of equivalent professional experience building and scaling cloud-native applications
• Deep experience with event-sourced, microservice, and distributed architectures
• Expert at integrating LLMs and agentic tools like Claude Code to automate and enhance development workflows
• Advanced TypeScript skills, focusing on building scalable, type-safe, and high-performance backend services
• Expert in Node.js and NEST, with a focus on modular system design and enterprise-level API structures
• Advanced proficiency in SQL, especially PostgreSQL schema design and optimization
• Experience with asynchronous, high-volume messaging or event-driven systems
• Strong commitment to testing, observability, and operational excellence
• Excellent communicator—able to influence stakeholders and product
• Proven ability to lead technical initiatives and mentor engineers
• Strong customer empathy and an understanding of how technical decisions influence user experience
• Familiarity with Docker & containerized environments, AWS (or similar cloud providers), Python (for platform tools, services, or ML integrations)

Desirable

• Artera’s Engineering team is seeking a Staff Backend Engineer to help define, evolve, and scale the platform that powers next-generation patient communication—especially as we accelerate our work in agentic AI, MCP (Model Context Protocol) servers, and high-throughput distributed systems
• This role reports directly to the VP of Engineering and is responsible for shaping platform architecture, driving technical excellence across teams, and leading execution on high-risk or high-impact initiatives critical to Artera’s long-term success
• You will be a multiplier: architecting large-scale systems, mentoring engineers, and ensuring our platform remains resilient, performant, and ready for the next wave of AI-driven patient engagement
• Serve as a domain expert in backend architecture, distributed systems, and high-throughput IO
• Drive company-wide architectural patterns, platform strategy, and engineering standards
• Lead execution on complex, open-ended projects spanning multiple quarters—including 2026 initiatives in agentic AI and MCP server infrastructure
• Own cross-team architectural buy-in and guide teams through refactors and modernization efforts
• Independently design and deliver large-scale features that impact multiple products or services
• Systematically reason through system-wide implications, edge cases, and performance trade-offs
• Identify and eliminate sources of instability, latency, and operational risk
• Build from scratch when needed—especially for distributed IO-intensive systems
• Model engineering maturity through thoughtful code reviews, documentation, and technical communication
• Mentor engineers across teams; elevate their understanding of architecture, debugging, reliability, and AI-era best practices
• Foster a blameless culture that encourages learning, experimentation, and continuous improvement
• Champion transparency, clear communication, and strong cross-functional collaboration
• Partner with product, design, and data/ML teams to translate complex technical ideas into practical, user-centered solutions
• Provide architectural guidance on story-level decisions within your domain
• Advocate for engineering-focused improvements in process, tooling, reliability, and developer experience