Sr. Software Engineer

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.

Accountabilities:

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

Why Apply Through Jobgether?

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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