Lead Platform Engineer

Company Summary Accuity partners with hospitals and health systems through a technology-enabled, physician-led model that improves clinical documentation integrity, coding accuracy, reimbursement optimization, and quality outcomes.

Job Summary The Lead Platform Engineer is a senior, hands-on technical leader responsible for the direction, reliability, and continued evolution of Accuity's internal engineering platform.

The role enables software engineering and data science teams to deploy and operate production workloads in Microsoft Azure through reliable, repeatable, secure, and increasingly self-service capabilities.

This position owns the shared infrastructure and delivery pathways that support application teams while preserving clear accountability for application behavior, quality, and production ownership within those teams.

The Lead Platform Engineer establishes the platform roadmap, mentors engineers and Software Development Engineers in Test (SDETs), defines technical standards, and contributes directly to high-impact platform design and implementation.

• Platform Strategy and Technical Leadership: Define and maintain a focused platform roadmap based on recurring delivery, reliability, and operational challenges experienced by software engineering and data science teams.
• Establish technical priorities, engineering standards, architectural direction, and sustainable ownership practices for platform capabilities.
• Provide hands-on technical leadership and mentorship to platform engineers, SDETs, and other engineers contributing to platform initiatives.
• Evaluate which capabilities should be centralized within the shared platform and which should remain owned by application or data science teams.
• Lead technical design discussions, review critical changes, and guide decisions involving platform architecture, reliability, security, scalability, and maintainability.
• Promote a pragmatic, service-oriented platform model that creates leverage for engineering teams without introducing unnecessary approval gates or operational dependencies.

• Cloud Platform Engineering: Build, maintain, and improve Accuity's Azure-based internal developer platform.
• Develop and support infrastructure-as-code solutions for repeatable, secure, and consistent environment provisioning.
• Own shared platform capabilities related to configuration, secrets management, cloud identity, network connectivity, CI/CD, deployment automation, and operational tooling.
• Design platform services and workflows that reduce manual effort, minimize configuration drift, and improve deployment consistency.
• Ensure platform capabilities are resilient, supportable, appropriately governed, and aligned with organizational security and compliance requirements.

• Environment and Release Enablement: Own the lifecycle and consistency of development, test, staging, and production environments.
• Manage shared standards and capabilities for provisioning, configuration, access, drift management, deployment promotion, rollback, and environment support.
• Create supported, documented, self-service deployment pathways that enable software engineers to release and operate the applications they own with reduced manual platform intervention.
• Partner with software engineering teams to improve release reliability while maintaining application-level quality and release accountability within those teams.
• Identify recurring delivery activities and convert them into reusable, automated, and maintainable platform capabilities.

• AI and Data Science Infrastructure: Provide and maintain the Microsoft Foundry and Azure infrastructure used to deploy production AI workloads.
• Support repeatable provisioning, access controls, network configuration, capacity management, monitoring, promotion, and rollback for AI-related environments.
• Partner with Data Science to understand infrastructure and deployment requirements while maintaining clear boundaries between platform responsibilities and ownership of models, evaluations, and data science outcomes.
• Help establish secure, scalable, and operationally supportable patterns for deploying AI capabilities in production.

• Quality, Observability, and Reliability: Guide SDETs toward reusable automated validation and test infrastructure that integrates with the shared delivery platform.
• Maintain clear ownership boundaries so that application quality and release decisions remain with the appropriate software teams.
• Provide shared deployment and operational telemetry that enables teams to monitor the health of their services and troubleshoot production issues.
• Diagnose complex platform, infrastructure, deployment, and environment issues.
• Improve reliability through automation, standardization, observability, root-cause analysis, and sustainable remediation.
• Support incident response and recovery activities for platform-owned systems and shared delivery capabilities.

• Documentation and Operational Excellence: Create and maintain technical documentation for platform-owned systems, processes, standards, runbooks, and architecture decisions.
• Ensure documentation in Confluence and other approved repositories remains current, accurate, accessible, and usable by the broader engineering organization.
• Define operational procedures and support models for platform capabilities.
• Measure platform adoption, reliability, and business impact using practical indicators such as deployment lead time, change failure rate, recovery time, developer feedback, service adoption, and cloud cost.
• Use metrics and stakeholder feedback to prioritize platform improvements and demonstrate measurable value.

• Cross-Functional Collaboration: Partner with software engineering, data science, quality engineering, security, compliance, and technology leadership to align platform capabilities with business and technical needs.
• Communicate platform standards, priorities, architectural decisions, risks, and tradeoffs clearly across a fully remote organization.
• Build trusted relationships with engineering teams and use recurring delivery challenges to inform platform priorities.
• Support shared planning and decision-making while reinforcing clear accountability across platform, application, and data science teams.

Other Duties as Assigned: Perform other duties and participate in additional projects as assigned to support departmental and organizational objectives.

• Education and Credentials: Bachelor's degree in computer science, software engineering, information systems, or a related technical field preferred
• Equivalent professional experience, technical training, or a combination of education and relevant experience may be considered.
• Relevant Microsoft Azure certifications are preferred.

• Experience: 7+ years of experience in software, cloud, infrastructure, DevOps, SRE, or platform engineering, including hands-on production systems experience.
• Demonstrated experience designing, deploying, and operating workloads in Microsoft Azure.
• Experience building reusable platform capabilities, including infrastructure as code, CI/CD, deployment automation, observability, access management, and environment provisioning.
• Demonstrated ability to provide technical leadership, mentor engineers, and define clear ownership boundaries across platform, application, and data science teams.
• Experience with AI deployment infrastructure, automated testing frameworks, healthcare technology, or regulated environments strongly preferred.

• Technical Leadership: Provides credible, hands-on technical direction and helps engineers make sound architectural and implementation decisions.
• Strategic Thinking: Connects recurring engineering challenges to a focused platform roadmap and prioritizes work that creates measurable organizational leverage.
• Engineering Judgment: Makes thoughtful decisions about standardization, shared ownership, automation, risk, and appropriate team boundaries.
• Problem Solving: Diagnoses complex technical and operational issues and develops practical, sustainable solutions.
• Service Orientation: Builds platform capabilities around the needs of internal engineering teams while avoiding unnecessary dependencies or approval barriers.
• Communication: Explains technical concepts, decisions, tradeoffs, standards, and risks clearly to technical and nontechnical stakeholders.
• Collaboration: Develops effective partnerships across engineering, data science, quality, security, compliance, and leadership teams.
• Mentorship: Strengthens engineering capability through coaching, feedback, knowledge sharing, technical guidance, and consistent standards.
• Execution Discipline: Translates platform priorities into reliable, maintainable, documented, and measurable outcomes.
• Accountability: Takes ownership of shared platform systems, operational readiness, technical documentation, and continuous improvement.
• Adaptability: Responds effectively to changing technical requirements, business priorities, emerging technologies, and operational needs.
• Organization and Prioritization: Balances roadmap initiatives, operational responsibilities, stakeholder needs, and technical debt in a small engineering organization.
• Remote-Work Effectiveness: Communicates proactively, documents decisions, maintains visibility into progress, and builds strong working relationships in a fully remote environment.
• Continuous Improvement: Uses metrics, developer feedback, operational learning, and emerging practices to improve platform adoption, reliability, and efficiency.

• Physical Requirements: The requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this job with or without reasonable accommodations. Unless otherwise indicated, Accuity positions require interaction with people and technology while either sitting or standing. Employees must be able to communicate via phone, email, etc. and sit for extended periods of time, with or without reasonable accommodations. Physical effort and exposure to physical risk are limited to that of an office role / environment.
• Position and Employment Statement: While this job description is intended to be an accurate reflection of the job requirements, management reserves the right to modify, add or remove duties from a job and to assign other duties as necessary and at any time. All positions at Accuity Delivery Systems, LLC, are at-will employment, and a position description is not a guarantee of a job or of job responsibilities. While this job description is intended to be an accurate reflection of the job requirements, management reserves the right to modify, add or remove duties from a job and to assign other duties as necessary and at any time. All positions at Accuity are at-will employment, and a position description is not a guarantee of a job or of job responsibilities.

For applications and inquiries, contact:View email address on us.fitly.work