Software Architect, Scheduling

athenahealth•Austin, TX
•$216,000 - $368,000•Hybrid

About The Position

The Software Architect leads architecture strategy for complex software and AI systems in a healthcare environment, with a strong emphasis on Scheduling platform modernization and cross-zone platform influence. Based in Austin, Texas, this individual-contributor role establishes target-state architecture, incremental migration plans, shared principles, technical standards, and platform-level solutions across engineering teams. The architect guides multi-quarter modernization and helps teams deliver scalable, reliable, performant, maintainable, cost-effective, secure, and compliant platform capabilities. The role has no direct reports and relies on technical credibility and influence across organizations. It reports to the Executive Director, Scheduling. The role sits at the intersection of software engineering, systems architecture, and applied AI. It involves designing large-scale distributed systems and operationalizing production AI capabilities, while balancing reliability, performance, security, maintainability, cost, and compliance. The architect partners with engineering, product, security, and operations leaders and contributes to architecture governance, incident learning, integration standards, long-range platform planning, and technical debt reduction.

Requirements

  • Typically 10 or more years of software engineering experience, including at least 5 years of architecture ownership across multiple teams.
  • Demonstrated experience leading architecture strategy for complex, distributed software systems.
  • Proven success creating target-state architectures and multi-quarter migration plans with measurable delivery outcomes.
  • Experience defining and operationalizing architecture principles, standards, reference patterns, and architecture decision records.
  • Strong background in system design for scalability, reliability, performance, and operational excellence.
  • Deep knowledge of observability and Site Reliability Engineering practices, including SLOs, alerting, incident management, and post-mortems.
  • Experience with event-driven architectures, API design, contract versioning, and workflow orchestration.
  • Hands-on experience with infrastructure as code, container platforms, CI/CD pipelines, and Java or a comparable modern language.
  • Experience designing or governing AI-enabled systems in production, including orchestration, monitoring, and model risk considerations.
  • Experience building systems in regulated environments with attention to compliance, consent, data governance, auditability, and access control.
  • Strong communication and influencing skills, with the ability to drive adoption across teams and functions.

Responsibilities

  • Develop target-state architecture and multi-quarter migration roadmaps for complex platform capabilities across multiple teams.
  • Define architecture principles, technical standards, reference patterns, and decision records that guide engineering execution.
  • Design scalable, reliable, and performant distributed systems with measurable outcomes tied to service-level objectives, benchmarks, and operational results.
  • Establish observability, incident response, runbook, and capacity planning practices that improve system health and operational readiness.
  • Evaluate event-driven and workflow orchestration approaches, including failure modes, resiliency patterns, and interoperability across consuming teams.
  • Partner with engineering, product, security, and operations leaders to influence platform direction and modernization priorities without direct authority.
  • Review application, data, and integration designs to ensure alignment with architecture standards, compliance requirements, and long-term platform goals.
  • Guide technical tradeoff discussions and decision-making across teams, balancing delivery speed, maintainability, cost, and risk.
  • Architect, evaluate, and govern production AI capabilities, including orchestration, tool-calling patterns, context and state handling, monitoring, and model risk controls.
  • Use hands-on technical depth in infrastructure as code, container platforms, CI/CD, and Java or a comparable modern language to prototype, review, and refine solutions.
  • Support modernization planning for shared platform services and common capabilities.
  • Contribute to architecture review forums and design governance processes.
  • Help define integration standards, versioning approaches, and contract management practices.
  • Participate in incident reviews and help translate findings into architecture improvements.
  • Mentor engineers and architects through design feedback and technical discussion.
  • Evaluate emerging technologies and recommend where they should or should not be applied.
  • Collaborate on long-range planning for platform investments and technical debt reduction.
  • Assist in defining security, privacy, auditability, and access-control patterns for regulated systems.

Benefits

  • Health and financial benefits
  • Commuter support
  • Employee assistance programs
  • Tuition assistance
  • Employee resource groups
  • Collaborative workspaces; some offices welcome dogs
  • Flexibility to support work-life balance
  • Events throughout the year, including book clubs, external speakers, and hackathons
  • A company culture based on learning, an engaged team, and an inclusive environment
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