Staff Software Engineer | Platform Team

High School Diploma/G.E.D.

Dig into inherited Scala systems to find where the real problems are, separate symptoms from causes, and make them scale

Redesign the data layer our ML and AI products depend on - this is an open, hard problem

Build out a Rust framework that lets teams ship correct, performant services without reinventing fundamentals

Improve observability and resilience across the platform so we find problems before our customers do

Shape developer tooling and engineering standards - your work multiplies everyone else’s effectiveness

Drive AI tool adoption across the company, figuring out whatactually helpsengineers work better

Work across the full stack: JVM (Java/Scala), Rust, Python, SQL, and Spark

What You Bring

What matters most:

Systems thinking.You see how pieces connect. When something breaks, you reason about thewhole system, not just thecomponentin front of you.

Fearless code reading.You can drop into a large, unfamiliar codebase, build a mental m odel, and figure out what needs to change.

Empathy for users.Whetherit’sa developer using your framework or an operator reading your error messages, youdesign forthe people downstream.

Testing discipline.You test thoroughly not because someonerequiresit, but becauseyou’veshipped enough software to know what happens when youdon’t.

Comfort with ambiguity.Our hardest problemsdon’tcome with specifications.You’reenergized, notparalyzed,by that.

Technical skills

ProficiencyinJVMecosystem(Java, Scala)

Experience withRusthighly desired

Python

SQL and data processing (Spark or similar)

Distributed systems design

Observability and resilience engineering

What We Offer

Work from anywhere in the US! Machinify is digital-first.

Top Medical/Dental/Vision offerings

FSA/HSA

Tuition reimbursement

Competitive salary, 401(k) with company match

Unlimited PTO

Additional health and wellness benefits and perks

Flexible and trusting environment where you’ll feel empowered to do your best work

The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications,etc. We are hiring fordifferent levels, and our Recruiting team will let you know if you qualify for a different role/range.Salary is onecomponentof the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits andperks.

Pay range: $220,000-255,000

Equal Employment Opportunity at Machinify

Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.

We’reseekinga skilledStaff Platform Engineerto join our team!

The Platform team builds the foundation every engineer atMachinifyworks on top of. Our scope is unusually broad: developer tooling and shared standards, observability and resilience engineering, core product server systems, and a growing Rust framework for building correct services fast. We lead AI tool adoption across the entire company. This is a staff-level IC role -you’llhave real influence over technical direction without managing people.

We’rehonest about the challenge. We inherited complex and important Scala systems that need scaling work and data layer rethinking. Some of the work is untangling implementationissuesso thereal architecturalproblems become visible. Ifyou’rethe kind of engineer who finds that satisfying - seeing through symptoms to root causes, making hard systems better - this is your team.

We have strong opinions about how engineering should work. Emotional safety matters. We lead with empathy for our users and our colleagues. We own the whole problem, not just the interesting parts. We build it right, test it thoroughly, and leave things better than we found them. Weoperatewith high trust and high autonomy, andwe’relooking for people who thrive in that environment.

Does this sound like the right opportunity to explore?…Letsconnect!