Manager, Software Engineering
TLDR
Lead engineering teams to deliver AI-enabled platform capabilities, improving healthcare workflows and ensuring high standards for security and reliability in a complex ecosystem.
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Own end-to-end engineering delivery, reliability, and production support for core platform capabilities, including processing of healthcare transactions, Identity, APIs, and audit systems
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Drive high-quality delivery of new features and enhancements with a strong focus on scalability, performance, security, and maintainability
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Lead sprint planning and execution to ensure predictable, high-velocity delivery
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Provide hands-on technical leadership through architecture guidance, design reviews, and code reviews, setting a high bar for engineering excellence
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Lead modernization efforts, advancing microservices, serverless, event-driven, and cloud-native architectures while reducing technical debt
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Champion AI-assisted development practices to improve engineering velocity, code quality, and developer productivity
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Drive the development of AI-enabled platform capabilities, ensuring strong standards for security, privacy, and reliability
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Leverage AI tools and platforms as an integral part of daily responsibilities to enhance decision making, streamline workflows, and drive data-informed outcomes
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Ensure operational excellence through effective incident response, troubleshooting, and system observability
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Partner closely with Product, Architecture, QA, and Operations to deliver production-ready, aligned solutions
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Coach and mentor engineers and technical leads, support career growth, as well as foster ownership, accountability, and continuous improvement
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Attract and hire top talent, contributing to a strong and scalable high-performing engineering organization
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Bachelor’s or master’s degree in computer science (or equivalent experience)
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6+ years of software engineering experience, including 3+ years leading engineering teams
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Proven ability to lead large-scale enterprise platform transformations and deliver complex, high-impact initiatives end-to-end
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Strong backend engineering background (Python, .NET, or Java) with proficiency in scalable REST APIs and distributed systems
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Experience designing and operating high-throughput transaction systems, integration layers, and platform services
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Deep understanding of system design, data modeling, and relational databases (SQL, PostgreSQL)
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Hands-on experience with cloud-native architectures (AWS preferred), including microservices, serverless, and multi-cloud environments
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Experience building cross-platform data integration solutions and enterprise-scale platforms
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Strong experience with identity and access management (OAuth2/OIDC) and secure system design principles
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Experience working in healthcare or regulated industries, including clinical or operational data environments
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Familiarity with healthcare interoperability standards such as FHIR, HL7, and EHR integrations
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Experience building platforms that support AI use cases and data-driven decisioning
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Familiarity with AI-assisted development tools and modern SDLC practices
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Passion for leveraging AI to improve engineering productivity, automation, and system intelligence
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Strong Agile/Scrum experience with tools like Jira or equivalent workflow systems
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Ability to operate effectively in ambiguous environments, translating problem statements into executable technical solutions
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Strong communication skills with ability to influence technical and non-technical stakeholders
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Demonstrated ability to balance hands-on technical depth with organizational leadership
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Passion for building a culture of ownership, continuous improvement, and engineering excellence
HHAeXchange builds a comprehensive technology platform designed for home and community-based care, specifically targeting aging individuals and those with disabilities. Our solution connects patients, care providers, and organizations, enhancing the delivery of innovative and cost-effective healthcare services.