Sr. Software Engineer at Jobgether – United States

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr. Software Engineer in United States.

This role offers a high-impact opportunity to design, build, and scale cutting-edge AI and computational imaging systems in a regulated environment. You will own end-to-end development of complex software pipelines that enhance medical imaging, ensuring accuracy, reliability, and compliance with industry standards. The position requires collaboration with cross-functional teams, mentorship of junior engineers, and influence over technical strategy and architecture. You will contribute directly to products that improve patient outcomes, working in a fast-paced, innovative, and mission-driven environment. This role balances technical excellence, systems thinking, and operational rigor while providing the opportunity to make a tangible difference in healthcare technology. Success requires strong problem-solving skills, leadership in engineering standards, and the ability to deliver robust, scalable solutions in a rapidly evolving field.

• Design, develop, and deploy scalable AI services and computational imaging pipelines for production use
• Own the full lifecycle of complex software features, including architecture, implementation, and observability
• Ensure high availability, security, and operational excellence of services through monitoring, alerting, and logging
• Lead code reviews, technical mentorship, and system design documentation to maintain engineering quality
• Collaborate across teams to reduce knowledge silos and ensure continuity of critical systems
• Implement robust testing and validation strategies aligned with regulatory and quality standards
• Proactively identify risks and drive improvements in architecture and operational resilience

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience)
• 8–12 years of software engineering experience, including expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar)
• Proven experience designing, implementing, and securing RESTful APIs and scalable production systems
• Familiarity with MLOps orchestration, cloud deployment (Docker, Kubernetes), and AWS
• Strong systems thinking and ability to evaluate trade-offs in scalability, reliability, and maintainability
• Experience mentoring engineers and setting engineering standards via reviews and technical guidance
• Knowledge of observability, monitoring, and operational excellence best practices
• Preferred: experience with medical imaging pipelines, HIPAA/HITRUST compliance, computer vision, and deep learning for image processing

Benefits:

• Competitive base salary ($153,000–$179,000) with 15% target annual bonus
• Total target compensation: $176,000–$206,000 including variable pay
• Remote work flexibility with some travel as required
• Opportunity to work on mission-driven projects impacting patient health
• Mentorship and professional development opportunities in a collaborative engineering team
• Access to company tools, resources, and modern cloud infrastructure
• Inclusive, high-performance culture with emphasis on innovation and impact
• Paid benefits, stock options, and employee perks as part of total rewards