Staff Software Engineer, Backend | Platform Expansion (Remote)

About Machinify

Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude.

About the Role

We're looking for a skilled Staff Backend Engineer to join our growing platform engineering team. This position is critical to Machinify’s AI platform expansion initiatives. In this role, you will leverage your deep programming expertise to design and build scalable, reliable backend systems. The ideal candidate has strong experience in application system architecture and design, as well as proven leadership skills, whether in serving as a tech lead or guiding complex projects.

Our engineering team features software developers and data engineers who enjoy being at the cutting edge. They are responsible for writing code that has a significant impact on our customers and future product lines. Our teams are collaborative, high-performing, curious, aligned to our product goals, and have a strong impact on the success of the business. We build high-performance ML and AI products that are transforming the landscape of healthcare!

What You’ll Do

• Main contributor to the expansion of our platform which is used as the foundation for web services, data services and Machinify’s AI systems
• Develop and maintain scalable and distributed systems to keep them extensible, scalable, and secure
• Design, develop, and maintain robust Scala and Java based systems
• Implement and manage distributed PostgreSQL database systems to ensure optimal performance and data integrity
• Collaborate cross-functionally with other teams that define, design, and ship new features, with the understanding of how our systems must change to support AI platform expansion for future customer-focused deliverables
• Design and implement complex frameworks for applying machine learning techniques to large data volumes
• Deliver reliable and good-performing software
• Troubleshoot and resolve software and database issues in a timely manner.
• Participate in code reviews to maintain high code quality.
• Continuously explore new technologies and integrate them into projects to improve system performance and scalability.

What You Bring

• 10+ years of strong software development experience including depth of knowledge in distributed systems, microservices architecture, and database technologies.
• Proficiency in Java or Scala, with a strong understanding of object-oriented and functional programming principles and performance tuning
• Experience with Java frameworks such as Spring or Java EE.
• Skill in reading the source for complex software systems, understanding them, and improving them
• Experience with SQL, database schema design, and relational database development/administration (PostgreSQL preferred)
• Knowledge of distributed computing frameworks (e.g. Apache Spark, Apache Kafka,).
• A strong CS foundation in data structures and asynchronous programming
• BS or MS in Computer Science (or equivalent experience)

Preferred Qualifications

• System programming experience with network stack and file-system
• Familiarity with Kubernetes for container orchestration
• Familiarity with cloud platforms (e.g., AWS)
• Experience with CI/CD tools and practices
• Proficiency with version control systems (e.g., Git)

Soft Skills

• Strong critical thinking problem-solving skills and attention to detail.
• Comfort when navigating ambiguity
• Excellent communication and teamwork abilities
• Ability to work independently and manage time effectively
• Proactive attitude and a joy for learning new technologies

What We Offer

• Work from anywhere in the US! Machinify is digital-first.
• Flexible and trusting