Software Engineering Manager

Accountabilities • Lead and develop engineering talent: Manage, mentor, and support Software Engineers at junior, mid-level, and senior levels through regular one-on-one meetings, performance reviews, career development discussions, and continuous feedback.

• Build a high-performing team: Own the engineering recruitment lifecycle, including sourcing, interviewing, selection, onboarding, and team development.

• Provide hands-on technical leadership: Guide architectural decisions, participate in design reviews, and maintain sufficient Python expertise to evaluate automation code, resolve technical challenges, and make informed engineering trade-offs.

• Own delivery and execution: Manage team commitments, establish priorities, remove blockers, mitigate risks, and ensure projects are delivered on schedule while meeting quality and compliance expectations.

• Maintain code quality: Review pull requests and provide constructive feedback that reinforces coding standards, maintainability, testing discipline, and engineering best practices.

• Lead agile development: Facilitate sprint planning, daily standups, retrospectives, and iterative delivery practices to improve collaboration, adaptability, and continuous improvement.

• Establish engineering standards: Develop and refine practices for code quality, testing, documentation, security, and continuous integration and continuous delivery (CI/CD).

• Ensure healthcare compliance: Oversee adherence to HIPAA, HITRUST, and applicable healthcare data security requirements, embedding privacy and compliance considerations into everyday engineering work.

• Partner with stakeholders: Serve as the primary engineering contact for operations, clinical teams, and executive stakeholders, translating business requirements into technical priorities and communicating project progress.

• Improve engineering processes: Identify opportunities to increase automation reliability, development velocity, operational efficiency, and team satisfaction through better tools, workflows, and practices.

• Coordinate cross-functional delivery: Manage dependencies with other engineering teams and business units, and contribute to roadmap planning, prioritization, and strategic discussions.

• Evaluate technologies and tools: Assess and recommend platforms, Azure services, AI and machine learning capabilities, and robotic process automation tools that enhance engineering productivity and solution quality.

• Support production reliability: Promote effective logging, monitoring, alerting, and observability practices to improve the performance and supportability of production automation systems.

Requirements

• Professional experience: At least seven years of professional software development experience, including a minimum of two years in an engineering management or team leadership role.

• Python expertise: Strong software development skills in Python, with the ability to understand, review, and guide the development of production-grade automation code.

• Engineering leadership: Demonstrated experience managing or leading engineers at different seniority levels, balancing technical direction, people development, and delivery accountability.

• Automation knowledge: A solid understanding of software automation, automated workflows, and the healthcare technology landscape.

• Development workflows: Proficiency with Git and collaborative development practices, including feature branching, pull requests, and structured code reviews.

• Healthcare privacy and security: Deep understanding of healthcare data privacy requirements, including HIPAA and HITRUST, and the ability to promote secure engineering practices.

• Project delivery: Proven ability to manage complex software or automation projects end to end, including scope definition, prioritization, risk management, delivery planning, and stakeholder reporting.

• Technical decision-making: Sufficient technical depth to guide architecture, evaluate tools, manage technical debt, and earn the trust of experienced engineers.

• People development: A track record of developing engineering talent, establishing career growth paths, and fostering a culture of continuous learning, accountability, and constructive feedback.

• Analytical capabilities: Strong problem-solving and critical-thinking skills, with the ability to navigate ambiguity and make sound decisions in a fast-paced, production-focused environment.

• Communication: Excellent interpersonal and communication skills, including the ability to explain complex technical concepts in terms of business priorities and outcomes.

• Preferred education: Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.

• Preferred technical expertise: Familiarity with Selenium, OpenCV, AI and machine learning tools, and Microsoft Azure services such as Azure Functions, Logic Apps, Key Vault, App Services, and Azure DevOps.

• Preferred healthcare experience: Exposure to electronic health record (EHR) systems, billing platforms, healthcare web portals, and revenue cycle management automation.

• Preferred operational knowledge: Familiarity with application logging, monitoring, alerting, and observability practices.

• Work authorization: Must be legally authorized to work in the United States. Visa sponsorship is not available, and contractors or contract-to-contract (C2C) arrangements are not accepted.

• Location restrictions: This remote position is open to eligible candidates in the United States, excluding residents of New York, California, and Washington state.

• Schedule availability: Able to work Monday through Friday, 8:00 a.m. to 5:00 p.m. Central Standard Time, with flexibility for additional or adjusted hours when business needs require it.

Benefits

• Annual compensation: $160,000–$220,000.

• Remote work: Work remotely from eligible locations within the United States, subject to state restrictions.

• Retirement savings: 401(k) plan with employer matching of up to 4%.

• Healthcare coverage: Medical, dental, and vision insurance.

• Insurance protection: Long-term and short-term disability insurance.

• Life insurance: $25,000 in life insurance coverage paid for by the employer.

• Paid time off: Two weeks of PTO.

• Paid holidays: Ten and a half holidays.

• Flexible work environment: A work culture that supports flexibility and work-life balance, with additional schedule flexibility as business needs require.

• Professional growth: Opportunities to develop engineering talent, influence technical direction, and improve the organization's automation capabilities.

• Collaborative culture: Work with engineering and business stakeholders in a team-oriented environment focused on continuous improvement and delivery quality.

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! Why Apply Through Jobgether?

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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