Development Manager

Key Responsibilities

• Lead, mentor, and support a team of direct reports.
• Conduct regular 1:1s, manage performance reviews, and guide career progression tailored to our near-startup environment.
• Oversee daily engineering operations and agile delivery.
• Partner with the existing Development Manager, Product Managers and Team Leads to ensure reliable, timely execution of the product roadmap using JIRA and Confluence.
• Act as a technical sounding board for the team. Leverage your background to understand the complexities of building scalable applications in the cloud, helping to guide architectural decisions and ensure engineering best practices without needing to be the smartest person in the room on every specific language.
• Champion improvements to our software development lifecycle. Understand the mechanics of our CI/CD pipelines (GitHub/GitHub Actions) well enough to help the team optimize their deployment processes and scale efficiently.
• Work closely with clinical experts, product management, and implementation engineering to ensure our platform meets the complex requirements of early disease detection and clinical workflows.

Qualifications

• Proven experience as a Development Manager, Team Lead, or in a similar leadership role managing multi-disciplinary engineering teams in a fast-paced or startup-like environment.
• Solid foundational background in software engineering. You should be comfortable leading teams that build applications using modern programming languages (experience with Python, Go, or React is highly preferred, but not strictly mandatory if you have equivalent experience).
• Experience operating within modern cloud environments (familiarity with GCP is a strong plus, though AWS or Azure experience translates well).
• Demonstrated experience managing agile development cycles, ticketing, and technical documentation (using tools like JIRA and Confluence).
• Conceptual understanding of modern DevOps practices, code storage, and CI/CD pipelines (e.g., GitHub Actions).
• Demonstrated ability to transition a flat organizational structure into a more mature, scalable engineering unit.
• Experience working with both full-time engineering resources and staff augmentation services.
• Experience in healthcare, clinical data, or ML Ops is a massive plus. Big plus for those with FHIR and/or OMOP experience.