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Software Staff Engineer

Artera

Salary not specified
Nov 17, 2025
Santa Barbara, CA, United States of America • Los Angeles, CA, United States of America • Kansas City, MO, United States of America • Philadelphia, PA, United States of America • San Francisco, CA, United States of America • Seattle, WA, United States of America • Denver, CO, United States of America • Chicago, IL, United States of America • Boston, MA, United States of America
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Artera is seeking a Staff Software Engineer to help define, evolve, and scale the platform that powers next-generation patient communication, especially as they accelerate work in agentic AI, MCP (Model Context Protocol) servers, and high-throughput distributed systems.

Requirements

  • 7+ years building and scaling cloud-native applications
  • Deep experience with event-sourced, microservice, and distributed architectures
  • Strong expertise in TypeScript/ES across backend services
  • Advanced proficiency in SQL, especially PostgreSQL schema design and optimization
  • Experience with asynchronous, high-volume messaging or event-driven systems
  • Docker & containerized environments
  • Terraform / IaC

Responsibilities

  • 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.

Other

  • Reports directly to the VP of Engineering
  • Mentoring 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.
  • Candidates must be eligible for a government background check and operate within strict code management, access, and documentation standards.