Sr. Manager- Software Engineering- Healthcare IT [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Manager – Software Engineering (Healthcare IT) based in the United States.

This is a senior engineering leadership role focused on building and scaling enterprise SaaS solutions within the healthcare imaging and clinical technology space. You will lead a mid-sized team of software engineers responsible for delivering high-quality, secure, and scalable applications that directly support improved patient outcomes and care delivery efficiency. The role combines technical leadership, people management, and delivery ownership, requiring a strong balance between hands-on architectural guidance and strategic execution. You will play a key role in shaping engineering practices, improving developer productivity, and driving the adoption of AI-assisted development tools across the organization. The environment is collaborative and fast-evolving, with close partnership across product, design, DevOps, and customer-facing teams. This position is ideal for a leader who thrives in complex, regulated environments and is passionate about building high-performing engineering organizations.

Accountabilities:

• Lead and manage a team of 10–15 software engineers, overseeing performance, career development, hiring, onboarding, and retention.
• Define and evolve technical direction, ensuring architectural decisions align with scalability, security, and product requirements.
• Drive end-to-end delivery of enterprise SaaS solutions through sprint planning, roadmap execution, and capacity management.
• Promote engineering excellence through CI/CD maturity, automated testing, observability, and strong incident response practices.
• Champion the adoption of GenAI tools (e.g., GitHub Copilot, Claude Code) to enhance developer productivity and code quality.
• Establish best practices for secure and responsible AI usage across the software development lifecycle.
• Partner with product, design, and cross-functional stakeholders to translate business needs into executable engineering plans.
• Define and track engineering performance metrics, using data to improve delivery efficiency and quality outcomes.
• Ensure compliance with healthcare IT regulations and enterprise security standards (e.g., HIPAA, SOC 2 where applicable).
• Represent the engineering organization in executive forums, planning sessions, and cross-functional initiatives.

Requirements:

• 10+ years of software engineering experience, including 5+ years in engineering management or technical leadership roles.
• Proven experience leading teams of 8+ engineers in enterprise SaaS environments.
• Strong technical background in modern software development (e.g., Java, Python, Node.js, React, or Go).
• Hands-on experience with cloud platforms (AWS, Azure, or GCP), microservices, and distributed systems architecture.
• Demonstrated experience integrating and scaling generative AI tools within engineering workflows.
• Strong understanding of CI/CD pipelines, DevOps practices, and modern deployment tooling.
• Experience working in regulated environments such as healthcare IT, fintech, or similar is highly preferred.
• Excellent leadership, communication, and stakeholder management skills across technical and non-technical audiences.
• Strong data-driven mindset with the ability to use engineering metrics to guide decision-making.
• Bachelor’s or Master’s degree in Computer Science or equivalent practical experience.

Benefits:

• Comprehensive health coverage including medical, dental, and vision insurance.
• Retirement savings plans including RRSP/401(k)-style options and tax-advantaged accounts.
• Paid vacation, holidays, and additional leave benefits to support work-life balance.
• Extended health, dental, and paramedical coverage depending on location.
• Tuition reimbursement and continuous learning support.
• Employee assistance programs and wellness resources.
• Life insurance and disability coverage.
• Opportunity to shape AI-driven engineering practices within a leading healthcare IT environment.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.