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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading application development teams, particularly in the healthcare domain, with a strong focus on AI-assisted development and adherence to HIPAA standards. Capable of translating business priorities into technical strategies while ensuring high-quality software delivery and team performance.
Highest-signal resume keywords
AI-Assisted DevelopmentHIPAA ComplianceCloud-Hosted Systems DesignCI/CD ImplementationTeam Leadership and Mentoring
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Software EngineeringAI Coding AgentsAutomated TestingData IntegrationPerformance ManagementIncident ResponseQuality System EstablishmentProduction Software DeliveryMulti-Service ArchitectureTechnical Tradeoff Analysis
Soft Skills
Strong CommunicationTeam DevelopmentStakeholder EngagementPerformance ReviewsRecruitment and Hiring
Tools & Technologies
GoTypeScriptSvelteKitKubernetesSnowflakeTemporalAzureMicrosoft Entra IDAI Harness LayerEHR Integration
Industry Keywords
Healthcare OperationsPHI HandlingAudit LoggingAccess ControlDigital Product SuccessClinical WorkflowsData Science CollaborationStartup ExperienceGrowth-Stage CompanyOperational Partners
Tech Stack
Tools & technologiesAzureCloudKubernetesSnowflakeTypeScriptGo
About the role
Key responsibilities & impact- Lead the Application Development team building products for post-acute businesses including home health, hospice, home care, and senior living
- Own the technical direction of all digital products, including service boundaries, data model, integration patterns, and platform roadmap
- Support build, buy, and defer decisions and document technical tradeoffs and reversal costs
- Set and enforce HIPAA-grade engineering standards for PHI handling, audit logging, least-privilege access, and environment promotion
- Maintain platform operability through observability, on-call, incident response, and cost management
- Make AI coding agents the default for design, implementation, testing, and review
- Build evaluation suites, automated test generation, CI gates, and review standards for trustworthy agent output
- Measure delivery metrics such as cycle time, change failure rate, field defects, and cost per release
- Partner with Data Science on safely shipping predictive models and LLM features into clinical workflows
- Lead, mentor, and develop the engineering team through 1:1s, expectations, performance reviews, career paths, and performance management
- Recruit, hire, and retain engineers; own the interview loop
- Improve output per engineer through tooling and automation before increasing headcount
- Represent Application Development with clinical, operations, finance, and IT leaders
- Translate business priorities into engineering plans and engineering constraints into business terms
- Partner with Product Management, Data, Infrastructure, and other teams on Digital product success
- Participate in pilot and rollout conversations with field agencies and operational partners
- Partner with IT on shared environments, security review, identity, and application-platform boundaries
- Contribute to technical strategy and investment cases, including measuring the team's impact on Pennant outcomes
Requirements
What you’ll need- 8+ years of software engineering experience
- 3+ years leading engineers as a people manager, including 1:1s, performance reviews, hiring, and difficult staffing decisions
- Led engineering at a startup or growth-stage company through adoption of AI-assisted development, with measurable before-and-after results
- Personally built and shipped production software with AI coding agents such as Claude Code, Cursor, Codex, or equivalent within the past 6 months
- Designed and operated a multi-service, cloud-hosted system with a production data layer and third-party integrations
- Established a quality system including CI/CD, automated testing, code review standards, and incident response
- Experience working under HIPAA, SOC 2, or comparable controls, or a credible plan for standing up PHI handling, audit logging, and access control
- Strong written and verbal communication, with ability to explain technical tradeoffs to clinical, operational, and finance leaders
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- Healthcare operations or EHR integration experience (preferred)
- Experience building or running an AI harness layer (preferred)
- Experience shipping LLM-backed features to end users and evaluating them for accuracy and safety in production (preferred)
- Experience migrating a product off a low-code or rapid-prototyping platform (preferred)
- Experience with Go, TypeScript / SvelteKit, Kubernetes (AKS), Snowflake, Temporal, Azure, and Microsoft Entra ID (preferred)
- Experience working alongside data scientists and data engineers on a shared platform (preferred)
- Experience inside a larger company's internal product group after time at a startup (preferred)
Benefits
Comp & perks- Eligible for annual bonus
- Equity
- Remote work arrangement
- Approximately 10–15% travel, including periodic visits to Service Centers and field operations