Staff Engineer, Technical Lead (Remote or Hybrid)

About the role

The rewards at Healogics are immense, starting with the important work we do to change patients' lives. We also understand that meaningful work is hard work, and we are committed to supporting and compensating our employees for the tremendous service they provide.

Think you are a great fit? Learn more about this role here

Healogics is the largest provider of advanced wound care services in the United States, treating more than 300,000 chronic wound patients annually across over 600 sites. With an aging society, obesity and diabetes on the rise, and an increase in surgical procedures, the number of patients with non-healing wounds who would benefit from expert care continues to grow. The company is working to extend its differentiated quality outcomes to more patients through outpatient clinic partnerships.

Healogics is seeking a Staff Engineer, Technical Lead to provide staff-level technical and engineering leadership while directly managing and developing software engineers.

This role combines staff-level engineering, technical leadership, and engineering-team leadership. The position is accountable for technical strategy, architecture, engineering practices, and engineering capability across an assigned product area while remaining hands-on with critical architecture, design, code, and complex technical problems. The role leads internal engineers and external engineering partners to deliver secure, reliable, maintainable, and scalable software.

All Healogics employees must perform their job responsibilities in accordance with Healogics and hospital policies; applicable accrediting organization requirements; federal and state regulations; and Centers for Medicare & Medicaid Services guidelines, as applicable.

• Partner with Product and Technology leadership to define technical strategy, architecture, modernization priorities, engineering standards, and delivery practices for an assigned product area.
• Own technical direction across products and delivery teams, establishing architecture, reusable patterns, and engineering expectations across full-stack applications, APIs, integrations, cloud services, and data-enabled workflows.
• Remain hands-on with critical or complex solution design, prototyping, code review, troubleshooting, and development while delegating appropriately to engineering teams.
• Build engineering capability across internal and external teams by establishing development practices, quality expectations, technical leadership patterns, knowledge-transfer expectations, and effective use of modern engineering tools.
• Partner with Product Management, Data, Interoperability, Security, Infrastructure, and other teams to evaluate technical options, dependencies, estimates, tradeoffs, sequencing, and delivery risks.
• Provide technical and delivery oversight of external engineering partners, including architecture, estimates, solution and code quality, delivery risks, knowledge transfer, and adherence to Healogics standards.
• Directly manage assigned software engineers, including goals, feedback, coaching, workload alignment, performance management, career development, hiring, and onboarding.
• Develop software engineers through architecture collaboration, code review, technical coaching, delegation, and knowledge sharing.
• Communicate technical strategy, architecture decisions, engineering risks, tradeoffs, progress, and recommendations clearly to executive, business, product, and technical audiences.
• Perform other duties as assigned.

Required Education, Experience and Credentials

• Bachelor's degree in computer science, software engineering, information systems, engineering, or a related technical field; or equivalent practical experience.
• Ten or more years of progressive software engineering experience building and supporting production applications, including significant technical leadership responsibility.
• Demonstrated experience leading architecture and system design, mentoring engineers, and directly managing or developing software engineers.

Required Knowledge, Skills and Abilities

• Advanced software engineering, architecture, and system-design skills across modern web applications, APIs, cloud services, integrations, and data-enabled applications.
• Strong hands-on experience with modern full-stack application development using technologies such as C#/.NET or Java; React, Angular, or comparable JavaScript frameworks; RESTful APIs; SQL; NoSQL or document databases; and cloud-based architectures using AWS, Microsoft Azure, or comparable platforms.
• Experience designing and building modern data-enabled or AI-enabled applications; experience with capabilities such as conversational AI, large language models, retrieval-augmented generation, natural language processing, and structured or unstructured data is preferred.
• Ability to establish engineering standards and improve software quality, automated testing, maintainability, observability, security, and delivery practices.
• Ability to evaluate architecture options, estimates, dependencies, risks, and engineering tradeoffs and provide clear recommendations.
• Strong people-leadership and mentoring skills, with the ability to set expectations for technical quality, delivery accountability, collaboration, and professional growth.
• Experience providing technical oversight of external development partners or distributed engineering teams.
• Strong written and verbal communication skills, including the ability to explain technical decisions and risks to executive, business, product, and technical audiences.
• Experience using AI-assisted software engineering tools such as Claude Code, GitHub Copilot, or comparable coding agents, with the ability to establish practices for their effective and responsible use while maintaining software quality, security, review standards, and human accountability.
• Preferred: Experience with healthcare technology, provider-facing applications, clinical workflows, EHR ecosystems, HL7 or FHIR, clinical decision support, Databricks, or comparable data and AI platforms.

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Pay and benefits

The base salary for this position generally ranges between $140,000-$180,000 annually

This range is an estimate, based on potential employee qualifications: education, experience, geography as well as operational needs and other considerations permitted by law.

If you are a current employee, to submit a job application, you need to apply as an internal candidate in Workday via the "Jobs Hub".