Jobs · Engineering

SW Engineering Manager

Groups Recover Together · United States · Today
RemoteRemoteEngineeringFull-time

Responsibilities

  • Lead, mentor, and manage a remote team of software engineers, fostering accountability, psychological safety, and continuous improvement.
  • Drive Agile delivery: run sprint planning, standups, reviews, and retros; keep backlog healthy and cadence predictable.
  • Owning end-to-end delivery of engineering commitments, balancing feature delivery with technical debt and quality.
  • Partner with Product to refine requirements, define acceptance criteria, and align work with roadmap and clinical/business priorities.
  • Monitor team metrics (velocity, burndown, quality), remove blockers, and proactively manage risks and dependencies.
  • Participate in architecture discussions and code reviews, upholding best practices, security, and compliance (including HIPAA).
  • Collaborate with data, clinical, and operations teams on integrations, data pipelines, and workflow technology.
  • Manage vendor and outsourced engineering relationships, setting expectations and ensuring accountability for delivery.

Qualifications

  • 4+ years as an Engineering Manager leading Agile, remote software teams.
  • 5–10 years of hands-on software engineering experience, ideally with full-stack web development (Ruby on Rails / React), cloud (Azure or AWS), APIs, and relational databases.
  • Proven track record of delivering complex software products on time while maintaining high code quality and system reliability.
  • Strong interpersonal and communication skills; able to translate technical concepts for executives, clinical stakeholders, and vendor partners.
  • Experience working with distributed, nearshore/offshore, or vendor-supported engineering teams.
  • Leadership style grounded in servant leadership, coaching, and building inclusive, high-trust team cultures.
  • Experience in healthcare, health-tech, a bonus, or other regulated industries (e.g., finance, insurance).
  • Familiarity with EMR/EHR integrations, clinical workflow tools, or healthcare data standards preferred.
  • Exposure to data platform engineering, ETL pipelines, or data infrastructure.

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