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Machinify

Sr/Staff Software Engineer, Backend | Web Products

USARemotePosted 1 month ago

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Job type
Full-time
Work mode
Remote
Level
Staff
Department
Software Development
Experience
10+ years experience
Posted
Aug 6, 2026

About the role

Machinify is a leading healthcare intelligence company delivering value, transparency, and efficiency to health plan clients through an AI-powered platform and best-in-class expertise. We're hiring for a Staff and Senior Backend Engineer to join our Pay and Audit product teams.

Our Culture @ Machinify

We embrace complex challenges with curiosity and genuine interest in understanding hard problems. Our engineers empower each other, learn deeply about customer needs, and unlock innovation with a strong sense of product ownership. We build with users in mind, shipping outcomes rather than just features. We pressure-test new AI tools and shape disciplined, AI-driven engineering practices under structured human oversight.

The Role

Set technical direction for backend development and design and build scalable, reliable web application systems while working alongside AI coding agents. Direct and review their output while maintaining a high quality bar. Apply strong experience in application design and system architecture, and drive adoption of new languages, tools, and agentic development practices across the team.

Join a highly visible engineering team solving complex, high-stakes problems using AI, data, and software systems. Write code that impacts customers and future product lines, partner cross-functionally to influence product direction, work directly with customers, and own systems impacting millions of lives.

What You’ll Do

  • Deepen your understanding of the healthcare claims and payments domain
  • Build production-grade services using Java, Scala, and/or Rust; contribute to standards, mentor others, and elevate programming maturity
  • Serve as the backend voice in cross-team planning and support cross-functional execution
  • Contribute to complex in-browser applications that are extensible, scalable, and secure
  • Balance customer-facing features with technical debt cleanup
  • Architect and implement applications applying machine learning techniques to large volumes of data
  • Design systems that work together to deliver a well-performing, reliable application
  • Bring agentic engineering practices into the team's day-to-day work and help the team adopt them effectively

What You Bring

  • 10+ years of experience across backend programming; additional full-stack experience highly desired
  • Experience designing and shipping customer-facing web application products
  • Meaningful experience with Java or Scala; Rust highly desired
  • Experience designing, building, and operating distributed systems on cloud services at scale
  • Ability to write technical design documents that translate ambiguous product intent into concrete backend design
  • Product- and user-driven mindset
  • Strong cross-functional collaboration skills with engineering, product, machine learning, data science, and leadership partners
  • Pragmatic approach with strong systems thinking and focus on root causes
  • Hands-on experience with agentic engineering tools and workflows in production
  • Experience reading and understanding complex code, owning code quality, and improving it
  • Critical thinking and problem-solving skills in a high-growth environment
  • Comfort with complexity and curiosity to define the path forward
  • Technical leadership on Rust best practices, idioms, safety, and performance is a plus
  • BS or MS in Computer Science or equivalent experience

What We Offer

  • Work from anywhere in the US; Machinify is digital-first
  • Top medical, dental, and vision offerings
  • FSA/HSA
  • Tuition reimbursement
  • Competitive salary and 401(k) with company match
  • Unlimited PTO
  • Additional health and wellness benefits and perks
  • Flexible and trusting environment

How We Evaluate Talent

Our interview process evaluates candidates across our engineering career ladder. The level, title, and compensation range are determined by overall performance and demonstrated competencies. Salary depends on factors including years and depth of experience, skills, and certifications. The total compensation package includes meaningful equity, healthcare, flexible time off, and other benefits and perks.

Pay Range: $200,000-250,000