Machinify

You will set backend architecture and technical direction, deliver cloud-native payment-integrity services, mentor engineers, and own production reliability and performance. | You need 6–10+ years of backend engineering experience, strong proficiency in Rust, Java, Go, or Scala, deep architecture and distributed-systems knowledge, cloud-native experience, and familiarity with agentic AI tools. | 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're hiring for a Staff and Senior Backend Engineer to join our expanding Right Payer Solutions product team across Subrogate and COB product lines. Our Culture @ Machinify We embrace complex challenges with curiosity — a genuine interest in understanding the hard problems at hand and how to move the needle forward. Our engineers empower each other to take action, learn deeply about our customers' needs, and unlock innovation with a strong sense of product ownership. We build with our users in mind, thoughtfully shipping outcomes, not just features. The technology we build shapes real healthcare decisions, demanding a high bar for engineering excellence — what we ship carries real weight. We pressure-test new AI tools, shape how they're used, and set the example for what disciplined, AI-driven engineering looks like: fast, but always under structured human oversight. The Role We're hiring a Staff / Senior Backend Engineer to join our expanding engineering team spanning the Subrogation and Coordination of Benefits (COB) product lines. This is a joint posting for both lines — you'll join one of them, matched on your background and team need. You'll set technical direction for backend development and use your deep programming expertise to design, build, and operate scalable, reliable cloud-native services and distributed systems that run at scale on AWS, GCP, or Azure. You'll work alongside AI coding agents as a core part of how you deliver — directing and reviewing their output while holding the bar on quality. The ideal candidate has strong experience in application design, system architecture, and cloud development, plus a proven ability to drive adoption of new languages, tools, and agentic development practices across a team. You'll join a highly visible engineering team trusted to solve complex, high-stakes problems using the best of AI, data, and software systems. Partnering cross-functionally, you'll influence product direction, work directly with customers, and own systems that positively impact millions of lives — where your technical decisions truly matter. We develop in Rust; strong Java, Go, or Scala engineers are a great fit and we'll help you adopt Rust effectively. This is hands-on product engineering — building and owning production services and features, not a DevOps, Platform, or SRE role. Click here to learn more about our COB (Coordination of Benefits) & Subrogation product lines. Does this sound like the right opportunity for you? Let’s connect! What You’ll Do Set the architecture and technical direction for backend systems on your product line Ship cloud-native services that power accurate, high-stakes payment-integrity decisions Turn ambiguous product intent into concrete, well-sequenced backend design Own your services in production — reliability, observability, and performance at scale Raise the engineering bar and grow the team's programming maturity as we scale Rust Set the standard for AI-driven delivery, keeping delivery fast and under human oversight Simplify labor-intensive workflows by applying ML techniques to large volumes of data Balance new customer value with technical-debt cleanup to keep the product sustainable Partner with PM, ML/DS, QA and UX to shape product direction and outcomes Mentor engineers and act as the backend voice in cross-team planning Work directly with customers on systems that impact millions of lives What You Bring 10+ years of backend engineering for Staff, 6+ years for Senior (full-stack experience a plus) Strong application design and system architecture across complex backend systems Proven ability to author technical design documents that satisfy engineers and product partners alike Substantial production experience in Rust, Java, Go, or Scala; Rust highly desired Proven experience designing, building, and operating distributed systems at scale Hands-on with containers and orchestration (Docker, Kubernetes) in production Ownership of CI/CD pipelines for your own services — building them, not just consuming them Production experience on at least one major cloud — AWS, GCP, or Azure Strong SQL and relational database skills; comfort across NoSQL and caching layers Hands-on experience with agentic engineering tools and workflows in production Proven ability to read complex code and own and continually improve code quality Strong cross-functional collaboration with engineering, PM, ML/DS, and leadership A pragmatic default and strong systems instinct — you find root causes, not symptoms Comfort with complexity and curiosity to define the path forward, not wait for one BS or MS in Computer Science, or equivalent experience Nice to have Technical leadership on Rust best practices — idioms, safety, and performance — as the team scales adoption across greenfield projects Healthcare, payer, or insurance domain experience; claims or payment-integrity workflows Experience shipping ML/AI-driven features in production and earning the business's trust in them 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 for different levels, and our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks. Pay range: $200,000 - $250,000 Equal Employment Opportunity at Machinify We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/

You would own client migrations end to end, from analyzing legacy systems and designing migration pipelines through coordinating teams and deploying to production. | The role requires 8+ years in data or software engineering, deep hands-on Python, SQL, Spark, and Airflow expertise, and experience with cloud-native data patterns, legacy reconstruction, and automated data reconciliation. | 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. As a Staff Data Engineer on the Migrations team, you are the end-to-end technical and operational owner of client migrations. You will drive the full lifecycle, from deep-dive legacy analysis to production deployment, while orchestrating collaboration across Operations, Client Success, Product, Data Science and Platform Engineering. You don't just implement; you own the outcome. This is a high-trust, high-autonomy role for someone who can think like an architect, execute like a senior engineer, and coordinate like a program manager — all on the same project. You'll own the problem space from discovery to go-live, making the defining architectural decisions and writing the code that brings them to life. What You’ll Do Lead discovery & technical due diligence — get to the bottom of poorly documented legacy systems (ETL, stored procedures, reporting layers, file feeds), reconstruct the business logic, and capture it in the lineage maps, mapping specs, and risk analyses everyone builds from. Reverse-engineer complex legacy systems using agents— you will be responsible for reverse-engineering complex, undocumented legacy systems (SSIS packages, stored procedures) where business logic is embedded, not documented. You must be able to reconstruct the intent of these systems to build modern, stable equivalents. Drive ambiguity to resolution — spot the unknowns early, own the open questions, and pull answers from clients, SMEs, and Operations instead of waiting to be unblocked. Architect & build the migration pipelines — turn intricate legacy logic into production-grade Airflow DAGs and Spark jobs on the Machinify platform, edge cases, payer-specific carve-outs, and business-rule exceptions included, owning the full flow from ingestion through reconciliation to steady-state handoff. Make and document the hard architectural calls — own the decisions that matter (pipeline design, partitioning strategy, validation approach) and leave a clear trail of the reasoning so others can learn from and build on it. Prove correctness at scale — build automated reconciliation frameworks that confirm, with confidence, that migrated output matches the source down to the row. Own the program end to end — be the single technical owner from kickoff through go-live and hypercare: scope, sequence, and track the work, surface risks before they bite, align Operations, Client Success, Platform Engineering, SMEs, and the client, and drive UAT through to sign-off. Raise the bar for the practice — Institutionalize migration knowledge by codifying runbooks and retrospectives, mentor L3/L4 engineers to build independent capability, and turn recurring migration pain points into scalable, reusable tooling. What You Bring 8+ years as a hands-on Data Engineer or Software Engineer, with demonstrated experience independently owning complex, multi-stakeholder technical projects from start to finish. Strong Python and SQL — fluent with complex, unfamiliar legacy code, not just greenfield work. Apache Spark — deep understanding of distributed processing, performance tuning, partitioning, and debugging at scale. Apache Airflow — advanced; comfortable designing and authoring production DAG architectures from scratch. AI-assisted development — actively uses coding agents (Claude, Copilot, Cursor, or equivalent) as a force multiplier in daily engineering work. Comfortable prompt-engineering for code generation, debugging, and documentation, and able to evaluate and trust AI output critically. Legacy ETL stack — able to reconstruct intent from code and translate it faithfully into a modern stack (e.g., From SSIS, SQL Server stored procedures, T-SQL, or equivalent). Data validation & reconciliation at scale — experience designing automated frameworks that prove migrated data matches source systems with high confidence. AWS — proficient with S3, solid grasp of cloud-native data patterns such as partitioned object storage, secure cross-account access, and cost/performance trade-offs. Cross-functional coordination — proven ability to drive alignment across engineering, operations, and client-facing teams simultaneously, without losing velocity. Clear technical communication — able to write discovery specs, architecture docs, and stakeholder updates that are accurate, concise, and actionable for both technical and non-technical audiences. Data-first mindset & fidelity — a rigorous, data-first mindset, with deep experience in building automated reconciliation frameworks that guarantee 100% data fidelity between legacy and modern systems. 🌱 Why Join Us Full ownership — you own the whole arc of a migration, from first look to go-live. No fragmented handoffs — just the autonomy and context to do it well. Immediate business impact — every migration you land enables a health plan to process claims more accurately and efficiently. Technical depth + breadth — you'll work across legacy systems, modern orchestration, distributed compute, cloud infra, and client-facing delivery in every project. Pivotal moment — we're scaling the migrations capability for a fast-growing platform; the standards and patterns you set will shape how dozens of future migrations run What We Offer Work from anywhere in the US! Machinify is digital-first. Full Medical/Dental/Vision for employees & their families Flexible and trusting environment where you’ll feel empowered to do your best work Unlimited FTO Competitive salary, equity, 401(k) including employer match 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. The base salary range for this role is $230k-$260k. We are hiring for different levels, and our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks. Equal Employment Opportunity at Machinify We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/

Lead analysts and oversee client and compliance reporting, performance analytics, data quality, dashboards, and SQL optimization for healthcare claims data. | Requires at least five years in business intelligence or healthcare claims analysis, advanced SQL proficiency, a relevant bachelor's degree, and technical team-management experience. | 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. The Healthcare Business Intelligence and Analytics (BIA) Manager owns client reporting, compliance reporting, and performance analytics spanning various programs. This position will primarily focus on healthcare eligibility and claims datasets. The BIA manager builds and maintains the metrics, dashboards, and recurring reporting that clients and other internal & external stakeholders rely on to understand program performance. This is a contributor-manager position. Alongside managing your analysts, you will remain hands-on in the data — writing SQL, building reports, and working claims-level detail — while establishing the standards, definitions, and roadmap for the team. You will manage an uneven reporting landscape with data gaps and challenges, across multiple client programs and turn it into quality reporting that can be trusted without revalidation needed. The right person is comfortable with healthcare claims data (837/835, claims data, Eligibility and Member files, NCPDP), advanced SQL skills, aptitude working with ambiguity, and possessing a can-do, entrepreneurial spirit as we grow and evolve as a team. What You’ll Do: Own reporting & data analytics across client programs Own the reporting frameworks and standards that meet client requirements while adhering to client-driven SLAs and timeframes Own client compliance reporting, client metrics & dashboard reporting, and ad hoc reporting for reclamation clients and other programs, including 271/835/NCPDP-based reporting and data crosswalks. Partner with data engineering on pipeline reliability, data quality monitoring, and the upstream changes that quietly break downstream reporting. Participate in client system file generation, client system reconciliation, and reporting support, including inventory tracking. Own analytics and data requests plus data crosswalks for CAV and COB clients. Write and optimize production-grade SQL against large-scale claims datasets, and own the testing, documentation, and version control of the reporting codebase. Proactively surface anomalies and trends. Conduct ad hoc research and reporting requests as necessary or requested Investigate reporting discrepancies to root cause and know the difference between a real data/process issue and a one-off anomaly or timing consideration. Turn one-off findings into repeatable checks and monitoring, so the same issue isn't manually rediscovered each month. Build the crosswalks, joins, and validation logic to support on-going reporting needs Monitor client files with a tracking mechanism to ensure successful receipt and ETL processes occur in line with business functions, timeframes and reporting requirements Coordinate with counterparts to resolve upstream data issues (rejections, reprocessing, eligibility gaps) that surface in reporting. Serve as a reporting-side liaison between clients and analysts Build and lead the team Manage a team of reporting analysts — setting priorities, reviewing work, and unblocking them on the claims and data issues that come up day to day. Review work quality and provide direct feedback and coaching, not just hands-off delegation. Own the reporting and data roadmap: what gets built, in what order, when and why What You Bring: Bachelor's Degree in Business, Analytics, Healthcare Analytics, or related field or relevant experience Management experience with leading, mentoring, or managing others including direct feedback on technical work and handling day-to-day issues (workload, priorities, performance) 5+ years in business intelligence, healthcare claims data analysis, or analytics engineering, including time as the most senior analytics person on a team or initiative. Foundational hands-on experience with eligibility, member and claims data within healthcare analytics and/or claims processing environments Deep knowledge of healthcare claims data — claims data, NCPDP, Member & Eligibility files, and standard transaction formats (837/835/271). Advanced SQL: you can write, read, debug, and performance-tune complex queries against large claims datasets without assistance. Hands-on experience within of a modern BI/reporting platform and a cloud data warehouse (Snowflake or comparable). Demonstrated success building or overhauling client-facing reporting from an immature or inconsistent foundation. Business acumen and judgment, excellent written and verbal communication with both internal executives and external clients — able to defend a number, hold ground with evidence, and name uncertainty where it exists. Proven ability to integrate data across disparate, loosely documented sources and pinpoint the discrepancies that explain reporting inconsistencies. Comfortable operating with limited structure and ambiguity, prioritizing independently against business goals. Track record of surfacing and conducting root cause analysis on data-quality or reporting issues. 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 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. Pay Range: $110,000 - $120,000 Equal Employment Opportunity at Machinify We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/

Model complex healthcare data into dimensional models and build semantic layers while managing dashboards and data workflows. | Requires 6+ years in analytics or data engineering with expert SQL, dimensional modeling, cloud lakehouse, and BI tool experience plus strong stakeholder communication. | 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. As a Senior Data Engineer (Analytics) you own the layer where messy operational data becomes a number a business leader will act on. You’ll sit with the people who run our business, learn how the work actually happens, and turn that into certified models, metric definitions that survive scrutiny, and reports people use. Our analytics warehouse unifies four platforms into one measurement model across dozens of unique client workflows. This is a data modeling and measurement enabling role more than a pipeline development role, though such skills will be helpful. Expect real time on calls with finance, operations, and client-facing teams, and real time in dbt, SQL, and Power BI. If you won’t ship a dashboard you can’t reconcile, you’ll fit in great. What You’ll Do Run discovery with business stakeholders. Find the real need behind the request and turn it into acceptance criteria you can build against. Model noisy healthcare operational data into certified dimensional models across our Databricks bronze → silver → gold architecture in dbt and SQL. Our sources disagree with each other in ways that are interesting rather than trivial. Sorting that out is most of the job. Own metric definitions. One measure, one definition, one place, documented so a non-engineer can read it. Today a single operating metric can be re-derived in a dozen models; collapsing that into a governed semantic layer is yours. Build and own the visualization layer. Power BI semantic models, dashboards, and paginated reports, including refresh health and semantic-model currency. We want real visualization judgment: the right chart for the question, a hierarchy an executive can read in ten seconds, and a reason for every choice. Own observability for your models. Freshness and latency detection, statistical anomaly detection, and value-drift monitoring, plus the data tests, regression guards, and CI checks that keep a defect you just fixed from coming back. Own orchestration for what you build. dbt Cloud job design, Airflow DAGs, scheduling, dependency ordering, dependable incremental runs. Write it down. Design documents, model documentation, a CI-enforced knowledge base, and business-readable handoff packets, so whoever inherits your work doesn’t have to re-derive it. Automate the recurring work. We codify repeating work into repeatable, testable, AI-assisted workflows instead of checklists in someone’s notes. You should be comfortable directing LLMs and supervising what they produce. What You Bring 6+ years across analytics engineering, BI engineering, data engineering, or business analysis, with production ownership of the models and metrics you built. Expert SQL and strong dimensional modeling instincts. You spot a grain mismatch in someone else’s model before you run it. Production dbt: models, tests, macros, exposures, documentation, and CI. You have opinions about project structure and can defend them. Hands-on with a cloud lakehouse or warehouse. Databricks and Spark SQL preferred; Snowflake, BigQuery, or Redshift transfer well. Real visualization talent. You’ve owned a BI semantic layer and the reports on top of it, not just the tables underneath. Power BI and DAX strongly preferred; Looker/LookML, Tableau, MetricFlow, or Cube are credible substitutes. Bring dashboards you designed and be ready to say what you left out. Stakeholder fluency. You can run a requirements conversation with a non-technical owner, turn a vague complaint into a testable definition, explain a data problem as business risk, and tell someone their metric is wrong without losing them. A reconciliation reflex. When two numbers disagree you don’t average them, escalate them, or trust the newer one. You find out why. Git and pull-request discipline as normal practice rather than overhead. Python where it’s genuinely the right tool (API calls, file parsing, statistics, report generation), and the judgment to reach for SQL where it isn’t. Comfort with high autonomy in a fast, async, Slack-first environment. You decide inside your lane and inform, rather than queuing decisions for permission. Strong writing. Much of your impact is a document, a definition, or a chart someone reads without you in the room. Bonus points for Healthcare data: claims (837/835/UB04), DRG and coding review, payment integrity, provider contracts, or revenue cycle. Data contracts, schema enforcement, or ODCS-style governance; quality gating in CI. Databricks Unity Catalog, lineage, and cost/DBU accountability. Paginated reporting, SharePoint/Excel delivery, or other “the business needs it in exactly this format” surfaces. Working alongside AI coding agents and reviewing what they produce against a contract you wrote. Why Join Us Own a real greenfield problem. We’re building a governed semantic layer that centralizes business logic. It’s a funded priority and one of the highest-impact problems on the team. Strong engineering foundation. We already have 634 production models, 1,800+ automated tests, and strong CI guardrails. You can focus on solving new problems instead of building basic engineering discipline from scratch. See your work reach the business. This team owns the work all the way to the reporting layer, so you’ll see how your decisions affect real business users. Work directly with stakeholders. Every project has a clear business owner and defined acceptance criteria, so you know who you’re building for and what success looks like. Use AI in the actual engineering workflow. We’ve built agent-driven workflows into our day-to-day development process, and our delivery velocity has grown significantly as a result. If you’re interested in actually using AI to change how software gets built, you’ll have plenty of opportunity here. Make an impact in healthcare. The systems you build help a large-scale healthcare payment integrity business understand and improve its performance. What We Offer Work from anywhere in the US! Machinify is digital-first. Full Medical/Dental/Vision for employees & their families Flexible and trusting environment where you’ll feel empowered to do your best work Unlimited FTO Competitive salary, equity, 401(k) including employer match 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 for different levels, and our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks. Pay range: $170,000 - $200,000 Equal Employment Opportunity at Machinify We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/

Architect and build scalable backend systems integrating AI coding agents while mentoring and collaborating cross-functionally. | 8+ years backend programming experience with Java, Scala, or Rust and strong distributed systems design. | 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're hiring for a Senior Backend Engineer to join our Audit product team! Our Culture @ Machinify We embrace complex challenges with curiosity, having genuine interest and drive to understand the hard problems at hand and how to move the needle forward. Our engineers empower each other to take action, learn deeply about our customers' needs and unlock innovation with a strong sense of product ownership. We build with our users in mind, thoughtfully shipping outcomes, not just features. The technology we build shapes real healthcare decisions, demanding a high bar for engineering excellence and what we ship carries real weight. We pressure-test new AI tools, shape how they're used, and set the example for what disciplined, AI-driven engineering looks like...fast, but always under structured human oversight. The Role In this role, you'll set technical direction for backend development, leverage your deep programming expertise to design and build scalable, reliable web application systems — working alongside AI coding agents as a core part of how you deliver, directing and reviewing their output while holding the bar on quality. The ideal candidate has strong experience in application design and system architecture, along with a proven ability to drive adoption of new languages, tools, and agentic development practices across a team You'll join a highly visible engineering team trusted to solve complex, high-stakes problems using the best of AI, data and software systems. You're responsible for writing code that has a significant impact on our customers and future product lines. Our team partners cross-functionally to influence product direction, work directly with customers, and own systems positively impacting millions of lives, where your technical decisions truly matter. Click here to learn more about our flagship Pay & Audit product lines. Does this sound like the right opportunity for you? Let’s connect! What You’ll Do Deepen your understanding of the healthcare claims and payments domain Developer Coach/Multiplier - An experienced Java, Scala and/or Rust developer who not only builds production-grade services, but also contributes to setting standards, mentors others, and elevates the team’s overall programming maturity. Backend voice in cross-team planning and the glue in cross-functional execution Contribute to new product development of complex in-browser applications, taking advantage of your holistic view to ensure our application is extensible, scalable, and secure Balance customer-facing features and technical debt cleanup to keep the software suite sustainable Architect and implement complex applications that apply ML techniques to large volumes of data, simplifying labor-intensive processes through good user experience Design systems that work together to deliver a good-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 8+ years of experience spread across backend programming (additional full-stack experienced highly desired) Proven experience designing and shipping customer-facing web application products, you've built features that serve external users and you're energized by that kind of work! Meaningful experience with Java or Scala; Rust highly desired Experience designing, building, and operating distributed systems that run reliably on cloud-services at scale (high throughput, high availability) The ability to write a Technical Design Document (TDD) that a staff peer trusts and a product lead can understand — turning ambiguous product intent into concrete backend design A product and user-driven mindset. You connect your technical decisions to the people using what you build, and you care about the outcome, not just the implementation Strong cross-functional collaboration skills with your engineering peers, senior PM, ML/DS partners, and leadership. You care more about the system landing than about being right. A pragmatic default paired with a strong systems instinct – you look for root causes, not symptoms. Hands-on experience with agentic engineering tools and workflows in a real production setting. Experience reading and understanding complex code, owning code quality and improving it Critical thinking and problem solving skills working in a high growth environment where stakes are high Comfort with complexity and curiosity to define the path forward, not wait for one Nice to have - Provides technical leadership on Rust best practices - idioms, safety, and performance as the team scales its adoption across greenfield projects 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/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 How We Evaluate Talent Our interview process is designed to evaluate candidates across our engineering career ladder. The level, title, and compensation range we're able to offer are determined by your overall performance and the competencies you demonstrate throughout the process which allows us to place each candidate at the level that best reflects their experience and abilities! 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 for different levels, and our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks. Pay Range: $200,000-230,000 ~ Equal Employment Opportunity at Machinify We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/

Set technical direction for backend development, design scalable web systems, and mentor team members. | 10+ years backend programming with Java, Scala, or Rust and distributed systems design experience. | 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'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, having genuine interest and drive to understand the hard problems at hand and how to move the needle forward. Our engineers empower each other to take action, learn deeply about our customers' needs and unlock innovation with a strong sense of product ownership. We build with our users in mind, thoughtfully shipping outcomes, not just features. The technology we build shapes real healthcare decisions, demanding a high bar for engineering excellence and what we ship carries real weight. We pressure-test new AI tools, shape how they're used, and set the example for what disciplined, AI-driven engineering looks like...fast, but always under structured human oversight. The Role In this role, you'll set technical direction for backend development, leverage your deep programming expertise to design and build scalable, reliable web application systems — working alongside AI coding agents as a core part of how you deliver, directing and reviewing their output while holding the bar on quality. The ideal candidate has strong experience in application design and system architecture, along with a proven ability to drive adoption of new languages, tools, and agentic development practices across a team You'll join a highly visible engineering team trusted to solve complex, high-stakes problems using the best of AI, data and software systems. You're responsible for writing code that has a significant impact on our customers and future product lines. Our team partners cross-functionally to influence product direction, work directly with customers, and own systems positively impacting millions of lives, where your technical decisions truly matter. Click here to learn more about our flagship Pay & Audit product lines. Does this sound like the right opportunity for you? Let’s connect! What You’ll Do Deeply understanding the healthcare claims and payments domain Developer Coach/Multiplier - An experienced Java, Scala and/or Rust developer who not only builds production-grade services, but also contributes to setting standards, mentors others, and elevates the team’s overall programming maturity. Backend voice in cross-team planning and the glue in cross-functional execution Contribute to new product development of complex in-browser applications, taking advantage of your holistic view to ensure our application is extensible, scalable, and secure Balance customer-facing features and technical debt cleanup to keep the software suite sustainable Architect and implement complex applications that apply ML techniques to large volumes of data, simplifying labor-intensive processes through good user experience Design systems that work together to deliver a good-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 spread across backend programming (additional full-stack experienced highly desired) Proven experience designing and shipping customer-facing web application products, you've built features that serve external users and you're energized by that kind of work! Meaningful experience with Java or Scala; Rust highly desired Experience designing, building, and operating distributed systems that run reliably on cloud-services at scale (high throughput, high availability) The ability to write a Technical Design Document (TDD) that a staff peer trusts and a product lead can understand — turning ambiguous product intent into concrete backend design A product and user-driven mindset. You connect your technical decisions to the people using what you build, and you care about the outcome, not just the implementation Strong cross-functional collaboration skills with your engineering peers, senior PM, ML/DS partners, and leadership. You care more about the system landing than about being right. A pragmatic default paired with a strong systems instinct – you look for root causes, not symptoms. Hands-on experience with agentic engineering tools and workflows in a real production setting. Experience reading and understanding complex code, owning code quality and improving it Critical thinking and problem solving skills working in a high growth environment where stakes are high Comfort with complexity and curiosity to define the path forward, not wait for one Nice to have - Provides technical leadership on Rust best practices - idioms, safety, and performance as the team scales its adoption across greenfield projects 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/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 How We Evaluate Talent Our interview process is designed to evaluate candidates across our engineering career ladder. The level, title, and compensation range we're able to offer are determined by your overall performance and the competencies you demonstrate throughout the process which allows us to place each candidate at the level that best reflects their experience and abilities! 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 for different levels, and our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks. Pay Range: $200,000-250,000 ~ Equal Employment Opportunity at Machinify We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/

Oversee procurement lifecycle including sourcing, contract negotiation, and vendor management while ensuring compliance and driving cost savings. | Bachelor's degree and 3-7 years procurement or vendor management experience with ERP proficiency required. | 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. About the Opportunity: The Procurement Manager plays a critical role in ensuring the organization acquires the right solutions efficiently, cost-effectively, and in alignment with enterprise standards. In this role, you’ll manage the full procurement lifecycle, partnering closely with IT, Finance, Legal, Information Security, and key business stakeholders to validate requirements, optimize vendor relationships, and maintain strong operational discipline. You will lead sourcing activities, support contract negotiations, manage vendor documentation, and help drive cost‑saving initiatives across our portfolio. A significant part of the role includes ensuring governance and compliance: supporting due diligence reviews, maintaining audit-ready documentation, and ensuring procurement practices align with legal, security, and regulatory requirements. What You'll Do (Role Responsibilities): Procurement Execution Manage end-to-end procurement of goods and services that support the Enterprise Create and process purchase requisitions and purchase orders in accordance with procurement policies. Coordinate with internal stakeholders to validate requirements, budgets, and approvals. Ensure purchases align with approved IT standards, architecture, and vendor strategies Vendor and Contract Management Support sourcing events, RFIs, RFPs, and vendor evaluations. Assist in contract negotiations, including pricing, terms, and service-level agreements. Maintain vendor records, contract repositories, and renewal calendars. Assist in tracking vendor performance against contractual obligations and SLAs. Financial and Cost Management Obtain competitive quotes and perform price comparisons. Support cost-saving initiatives through consolidation, renegotiation, and vendor optimization. Ensure alignment with approved cost centers and financial controls. Governance, Compliance, and Risk Ensure procurement activities comply with enterprise policies, legal requirements, and audit standards. Coordinate with Legal, Information Security, and Compliance teams during vendor onboarding. Support due diligence activities such as security assessments, data privacy reviews, and financial risk checks. Maintain documentation required for internal and external audits. Process and Operations Support Support lifecycle activities including renewals, terminations, and asset tracking. Identify opportunities to improve procurement processes and automation. What You Bring: Required Bachelor’s degree in Business Administration, Supply Chain, or related field. 3–7 years of experience in procurement, sourcing, or vendor management, preferably supporting multiple categories. Experience with enterprise procurement or ERP systems (e.g., SAP, Oracle, Coupa, Ariba, Workday, etc.). Strong analytical, negotiation, and organizational skills. Preferred Experience in large enterprise or regulated industries (e.g., life sciences, finance, healthcare, manufacturing). Knowledge of sourcing and due diligence governance, security, and compliance requirements. Professional certification such as: CPSM (Certified Professional in Supply Management) CSCP (Certified Supply Chain Professional) ITIL Foundation (optional) What We Offer: Dallas, TX based with a hybrid (in-office / work-from-home) schedule Top Medical/Dental/Vision offerings FSA/HSA Tuition reimbursement Competitive salary, 401(k) with company match 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 for different levels, and our Recruiting team will let you know if you qualify for a different role/range. Pay range: $135,000 + Annual Bonus Equal Employment Opportunity at Machinify We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/