<h3>Job Description</h3>
Job Description
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 60 health plans, including many of the top 20, and representing more than 160 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 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:
<ul>
<li>
Main contributor to the expansion of our platform which is used as the foundation for web services, data services and Machinify’s AI systems
</li>
<li>
Develop and maintain scalable and distributed systems to keep them extensible, scalable, and secure
</li>
<li>
Design, develop, and maintain robust Scala and Java based systems
</li>
<li>
Implement and manage distributed PostgreSQL database systems to ensure optimal performance and data integrity
</li>
<li>
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
</li>
<li>
Design and implement complex frameworks for applying machine learning techniques to large data volumes
</li>
<li>
Deliver reliable and good-performing software
</li>
<li>
Troubleshoot and resolve software and database issues in a timely manner.
</li>
<li>
Participate in code reviews to maintain high code quality.
</li>
<li>
Continuously explore new technologies and integrate them into projects to improve system performance and scalability.
</li>
</ul>
What You Bring:
<ul>
<li>
10+ years of strong software development experience including depth of knowledge in distributed systems, microservices architecture, and database technologies.
</li>
<li>
Proficiency in Java or Scala, with a strong understanding of object-oriented and functional programming principles and performance tuning
</li>
<li>
Experience with Java frameworks such as Spring or Java EE.
</li>
<li>
Skill in reading the source for complex software systems, understanding them, and improving them
</li>
<li>
Experience with SQL, database schema design, and relational database development/administration (PostgreSQL preferred)
</li>
<li>
Knowledge of distributed computing frameworks (e.g. Apache Spark, Apache Kafka,).
</li>
<li>
A strong CS foundation in data structures and asynchronous programming
</li>
<li>
BS or MS in Computer Science (or equivalent experience)
</li>
</ul>
Preferred Qualifications:
<ul>
<li>
Additional experience developing Spark layer or big data processing workflows 
</li>
<li>
System programming experience with network stack and file-system
</li>
<li>
Familiarity with Kubernetes for container orchestration
</li>
<li>
Familiarity with cloud platforms (e.g., AWS)
</li>
<li>
Experience with CI/CD tools and practices
</li>
<li>
Proficiency with version control systems (e.g., Git)
</li>
</ul>
Soft Skills:
<ul>
<li>
Strong critical thinking problem-solving skills and attention to detail.
</li>
<li>
Comfort when navigating ambiguity
</li>
<li>
Excellent communication and teamwork abilities
</li>
<li>
Ability to work independently and manage time effectively
</li>
<li>
Proactive attitude and a joy for learning new technologies
</li>
</ul>
What We Offer:
<ul>
<li>
Work from anywhere in the US! Machinify is digital-first.
</li>
<li>
Flexible and trusting environment where you’ll feel empowered to do your best work
</li>
<li>
Unlimited PTO
</li>
<li>
Full Medical/Dental/Vision for employees &amp; their families w/ 100% premium coverage options!
</li>
<li>
Competitive salary, equity, 401(k) sponsorship
</li>
<li>
Learning and Development reimbursement policy
</li>
</ul>
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 $210k to $245k.&nbsp; 
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
Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.&nbsp;
See our Candidate Privacy Notice at: <a href="https://www.machinify.com/candidate-privacy-notice/" target="_blank">https://www.machinify.com/candidate-privacy-notice/</a>

Staff Software Engineer, Backend | Platform Expansion (Remote)

<h3>Job Description</h3>
Job Description
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 60 health plans, including many of the top 20, and representing more than 160 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 seeking a Sr. Frontend Software Engineer to join our team!&nbsp;
The ideal candidate has a range of skills across web application programming. You have interest in developing user-centric and performant UI platforms. A primary contributor to frontend related development such as new feature programming and architecting patterns where specific backend services are designed to optimally serve a product's user interface. You excel at transforming complex requirements into functional, scalable, and responsive interfaces that deliver optimal user experiences.&nbsp;
Every day offers a chance to work on something intellectually stimulating! We've built a team of strong programmers and problem solvers! You’ll join a group of peers who are committed to engineering excellence, highly motivated to solve hard problems together, autonomous in their ability to perform work, and highly impactful towards the success of the business. 
Does this sound like the right opportunity to explore?... Lets connect!
What you’ll do:
<ul>
<li>
Develop applications &amp; contribute towards the UI and potentially middle-layer development
</li>
<li>
Own projects aligned with our product development strategy
</li>
<li>
Design and implement solutions to achieve a delightful and intuitive user experience
</li>
<li>
Contribute to the underlying platform to ensure it is extensible, scalable, and secure
</li>
<li>
Collaborate with team and external stakeholders such as Product Managers, Backend Engineers, UX team, &amp; our customers
</li>
</ul>
What you’ll bring:
<ul>
<li>
6+ years of production application development experience&nbsp;
</li>
<li>
Proficiency in modern Javascript, React, CSS/HTML and familiarity with TypeScript&nbsp;
</li>
<li>
Experience reading and understanding complex enterprise-grade code, quickly contribute to it, and suggesting improvements
</li>
<li>
Excellent debugging skills (using dev tools source code, emphasis in identifying root cause, and proactively preventing future bugs)
</li>
<li>
Proficiency integrating web API’s or micro-services to UI in partnership with backend developers
</li>
<li>
Experience implementing best practices of incorporating AI into user flows
</li>
<li>
Familiarity with standard development tools and processes like Github Workflows, Git, JIRA
</li>
<li>
Experience creating and building systems in production with over 10k+ users
</li>
<li>
Comfortable with ambiguity and taking the initiative
</li>
<li>
BS or MS in Computer science (or equivalent experience)&nbsp;
</li>
<li>
Excitement in making an impact in rewiring US healthcare!
</li>
</ul>
What we offer:
<ul>
<li>
Work from anywhere in the US! Machinify is digital-first.
</li>
<li>
Full Medical/Dental/Vision for employees &amp; their families w/ 100% premium coverage options!
</li>
<li>
Flexible and trusting environment where you’ll feel empowered to do your best work
</li>
<li>
Unlimited PTO, recharge days and one no-meetings day a week
</li>
<li>
Competitive salary, equity, 401(k) sponsorship
</li>
<li>
Generous Learning and Development Reimbursement policy
</li>
</ul>
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 $180k to $225k. However, 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 to meet the needs of each individual.
Equal Employment Opportunity at Machinify
Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.&nbsp;
See our Candidate Privacy Notice at: <a href="https://www.machinify.com/candidate-privacy-notice/" target="_blank">https://www.machinify.com/candidate-privacy-notice/</a>

Sr. Software Engineer - Frontend (Remote)

<h3>Job Description</h3>
Job Description
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 60 health plans, including many of the top 20, and representing more than 160 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.
 What You'll Do
<ul>
<li>
Design and implement feature stores to power multiple ML models, balancing common reusable features with client-specific extensions.
</li>
<li>
Build and own end-to-end ML pipelines for training, versioning, and deploying models as containerized services in production.
</li>
<li>
Establish and maintain CI/CD and continuous training pipelines that ensure fast, reliable, and reproducible ML deployments.
</li>
<li>
Collaborate closely with Data Science and Data Engineering teams to accelerate experimentation cycles and translate models into robust production services.
</li>
<li>
Implement monitoring systems to track model performance, detect data/concept drift, and trigger retraining workflows when needed.
</li>
<li>
Drive engineering best practices across the ML lifecycle, including reproducibility, observability, and scalability of ML systems.
</li>
<li>
Provide technical leadership on architecture and tooling decisions for MLOps and production ML systems. 
</li>
</ul>
What You'll Bring
<ul>
<li>
Expertise in machine learning engineering and MLOps, with hands-on experience building production-grade ML systems.
</li>
<li>
Strong programming skills in Python (Java/Scala a plus).
</li>
<li>
Experience with feature stores (e.g., Sagemaker, Feast, Hopsworks, Tecton, or equivalent).
</li>
<li>
Familiarity with ML lifecycle tools such as MLflow, Kubeflow, DVC or equivalent for experiment tracking and model versioning.
</li>
<li>
Experience deploying ML models via Docker + Kubernetes, and serving them with frameworks such as KServe, Seldon, or BentoML.
</li>
<li>
Strong background in workflow orchestration (Airflow, Prefect, Kubeflow Pipelines) and CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, etc.).
</li>
<li>
Familiarity with cloud ML platforms (AWS SageMaker, GCP Vertex AI, or Azure ML).
</li>
<li>
Knowledge of monitoring and observability tools (Prometheus, Grafana or similar) and passion for tracking metrics.
</li>
<li>
Strong computer science foundations (data structures, distributed systems, asynchronous programming).
</li>
<li>
Solid collaboration skills to work effectively with Data Science, Data Engineering, and cross-functional stakeholders. 
</li>
</ul>
Technical Requirements
<ul>
<li>
Bachelor’s or Master’s in Computer Science, Engineering, or related field.
</li>
<li>
6+ years of experience building and shipping production ML solutions end-to-end.
</li>
<li>
Demonstrated experience owning ML pipelines and deployments in production environments.
</li>
<li>
Strong testing and code quality discipline, with experience contributing to and improving enterprise-grade systems. 
</li>
</ul>
Equal Employment Opportunity at Machinify
Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.&nbsp;
See our Candidate Privacy Notice at: <a href="https://www.machinify.com/candidate-privacy-notice/" target="_blank">https://www.machinify.com/candidate-privacy-notice/</a>

ML Engineer | Lead

<h3>Job Description</h3>
Job Description
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 60 health plans, including many of the top 20, and representing more than 160 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 job
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.
We are seeking a Director of Analytics and Business Optimization. This role will be responsible for leading the design, execution, and scaling of the analytics function at Machinify. The initial focus will be on personally driving high-impact analyses that inform business optimization;and over time, building and leading a high-performing analytics team. This role requires a strong analytical background, deep business acumen, and the ability to translate data into actionable insights that guide operational and strategic decisions. Reporting to the Chief AI Officer, the Director will work closely with business, product, and engineering leaders to ensure analytics drives measurable improvements in customer and company outcomes. 
What You Will Do
<ul>
<li>
Lead critical business analyses: Perform end-to-end analytics across payment operations, chart review workflows, and customer performance metrics to identify optimization opportunities.
</li>
<li>
Design foundational data assets: Build and maintain the base data sets, aggregates, and pipelines required for robust reporting and insight generation.
</li>
<li>
Create business dashboards: Partner with engineering and product teams to deliver comprehensive reporting dashboards that provide leaders with real-time visibility into operational and financial performance.
</li>
<li>
Run simulations and financial models: Use historical data to design models that simulate the impact of business decisions—helping leadership understand trade-offs and predict outcomes of operational “knob-turning.”
</li>
<li>
Deliver ad hoc insights: Scope and execute analyses to answer urgent or strategic questions posed by executives and operational leaders.
</li>
<li>
Collaborate cross-functionally: Translate business problems into analytical approaches and communicate findings effectively to both technical and non-technical stakeholders.
</li>
<li>
Hire and scale a team: As the business grows, recruit, mentor, and manage a team of analysts to extend the reach and impact of the analytics function.
</li>
<li>
Drive continuous improvement: Establish best practices in analytics, promote data-driven decision-making, and foster a culture of accountability and innovation. 
</li>
</ul>
What You Bring
<ul>
<li>
Degree in a quantitative field (e.g., Statistics, Economics, Operations Research, Data Analytics, Engineering, or related discipline).
</li>
<li>
10+ years of analytics, business intelligence, or quantitative consulting experience, with at least 5 years in a leadership role, ideally including start-up or growth-stage company experience.
</li>
<li>
Technical proficiency in SQL/python and ability to interact with modern database systems to manipulate datasets
</li>
<li>
Proven track record of delivering high-impact analyses and driving measurable business improvements.
</li>
<li>
Experience designing and building core data sets, dashboards, and business intelligence infrastructure.
</li>
<li>
Strong financial modeling and simulation skills, with the ability to quantify the impact of strategic and operational changes.
</li>
<li>
Ability to communicate complex analytical findings clearly to executives and cross-functional partners.
</li>
<li>
Experience hiring, mentoring, and scaling high-performing analytics teams.
</li>
<li>
Comfort operating in a fast-paced, ambiguous environment and balancing short-term needs with long-term strategic priorities.
</li>
<li>
Optimism, resilience, and a collaborative spirit; you thrive on helping both your team and the business succeed.
</li>
</ul>
Equal Employment Opportunity at Machinify
Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.&nbsp;
See our Candidate Privacy Notice at: <a href="https://www.machinify.com/candidate-privacy-notice/" target="_blank">https://www.machinify.com/candidate-privacy-notice/</a>

Director | Analytics and Business Optimization

<h3>Job Description</h3>
Job Description
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 60 health plans, including many of the top 20, and representing more than 160 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 Role
We are seeking a physician executive to serve as the clinical leader and executive partner to our health plan clients. Reporting to the CEO, the CMO will drive trusted client relationships, guide payment integrity policy, and represent the clinical voice in product innovation. This role emphasizes executive engagement and strategic influence, supported by a strong internal team managing day-to-day operations.
Key Responsibilities
Executive Client Engagement &amp; Strategic Leadership
<ul>
<li>
Build trusted partnerships with client Medical Directors, Payment Integrity executives, and senior payer stakeholders.
</li>
</ul>
<ul>
<li>
Partner with clients to validate results, demonstrate clinical credibility, and drive adoption of payment integrity solutions.
</li>
</ul>
<ul>
<li>
Collaborate with sales and customer success teams to support business development and long-term partnership growth.
</li>
</ul>
Payment Policy &amp; Clinical Guidance
<ul>
<li>
Shape payer-specific payment policies for accurate enforcement in the Machinify system.
</li>
</ul>
<ul>
<li>
Provide evidence-based clinical and coding rationale during client audits, appeals and escalations.
</li>
</ul>
<ul>
<li>
Advise on complex reimbursement constructs across CMS, Medicaid, and commercial plans, including DRG classifications, OPPS/APC, NCCI, CPT/HCPCS, and modifier logic.
</li>
</ul>
<ul>
<li>
Maintain alignment with authoritative industry standards (CMS NCCI, AMA CPT, ICD-10 guidelines, AHIMA briefs).
</li>
</ul>
Cross-Functional Collaboration
<ul>
<li>
Partner closely with operations, engineering, data science, product, and client services teams to ensure outputs are clinically sound.
</li>
</ul>
<ul>
<li>
Mentor internal clinicians and guide clinical playbooks and escalation protocols.
</li>
</ul>
Product &amp; Innovation Leadership
<ul>
<li>
Represent the clinical perspective in product roadmap and innovation initiatives.
</li>
</ul>
<ul>
<li>
Advance clinical content innovation to ensure defensibility, scalability, and impact.
</li>
</ul>
<ul>
<li>
Shape the platform to move beyond identifying payment errors to diagnosing root causes and enabling systemic improvements.
</li>
</ul>
Required Qualifications
<ul>
<li>
MD or DO with active license.
</li>
</ul>
<ul>
<li>
10+ years in payment integrity, reimbursement operations, or claims auditing. Expertise across inpatient, outpatient, and professional claims (DRG, APCs, CPT/HCPCS, modifier logic).
</li>
</ul>
<ul>
<li>
Strong knowledge of CMS, Medicare, Medicaid, and commercial payer adjudication rules.
</li>
</ul>
<ul>
<li>
Proven executive-level client engagement experience.
</li>
</ul>
<ul>
<li>
Demonstrated leadership and ability to translate clinical insights into strategy.
</li>
</ul>
Preferred Qualifications
<ul>
<li>
Experience with pharmacy claims, PBM workflows, or claims editing platforms (ClaimCheck, CES, Lyric).
</li>
</ul>
<ul>
<li>
Familiarity with AI/NLP or automation-driven audit workflows.
</li>
</ul>
<ul>
<li>
Advanced degree (MBA, MPH, MHA).
</li>
</ul>
Equal Employment Opportunity at Machinify
Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.&nbsp;
See our Candidate Privacy Notice at: <a href="https://www.machinify.com/candidate-privacy-notice/" target="_blank">https://www.machinify.com/candidate-privacy-notice/</a>

Chief Medical Officer

<h3>Job Description</h3>
Job Description
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 60 health plans, including many of the top 20, and representing more than 160 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 looking for skilled Staff and Sr. level Backend Engineer to join our growing engineering team. 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 through serving as a tech lead or guiding complex projects.
Our engineering team is composed of the best and brightest software developers and data engineers. 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 impactful towards the success of the business. We build highly performant ML and AI products that are transforming the landscape of healthcare.
What You’ll Do:
<ul>
<li>
Contribute to backend server-side development to ensure our application is extensible, scalable, and secure
</li>
<li>
Recognize and prioritize between Customer deliverables &amp; Tech debt to develop a sustainable software suite of products.
</li>
<li>
Enjoy designing and architecting complex frameworks for applying ML techniques to large data volumes and simplifying labor-intensive processes
</li>
<li>
Deliver resilient enterprise software solutions
</li>
</ul>
What You Bring:
<ul>
<li>
10+ years of backend focused experience in the field of application programming
</li>
<li>
Strong working experience with Java or Scala 
</li>
<li>
Experience reading and understanding complex enterprise-grade code, quickly contributing to it, and suggesting improvements.
</li>
<li>
Working experience writing SQL queries
</li>
<li>
Additional Python and C# or other backend languages are a plus
</li>
<li>
Strong CS foundation (data structures, asynchronous programming)&nbsp;
</li>
<li>
Excellences in test writing discipline
</li>
<li>
Critical thinking and problem solving skills working in a high growth environment
</li>
<li>
Comfortable navigating ambiguity
</li>
<li>
BS or MS in Computer Science (or equivalent experience)
</li>
</ul>
What We Offer:
<ul>
<li>
Work from anywhere in the US! Machinify is digital-first.
</li>
<li>
Flexible and trusting environment where you’ll feel empowered to do your best work
</li>
<li>
Unlimited PTO
</li>
<li>
Full Medical/Dental/Vision for employees &amp; their families w/ 100% premium coverage options!
</li>
<li>
Competitive salary, equity, 401(k) sponsorship
</li>
<li>
Learning and Development reimbursement policy
</li>
</ul>
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 $225k +/-&nbsp; 
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
Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.&nbsp;
See our Candidate Privacy Notice at: <a href="https://www.machinify.com/candidate-privacy-notice/" target="_blank">https://www.machinify.com/candidate-privacy-notice/</a>

Staff Software Engineer, Backend (Remote)

<h3>Job Description</h3>
Job Description
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 60 health plans, including many of the top 20, and representing more than 160 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.
Machinify is hiring for a Senior Automation Engineer to design, develop, and improve our automation tools and tests with a focus on backend automation testing!
The ideal background will have a focus on testing web applications, developing manual and automated tests, and an interest in joining a product focused team. You are driven and scrappy when delivering tests that assess the quality of complex systems.
We're the Healthcare industry’s most comprehensive application suite. Our teams are highly collaborative across all areas of the organization, autonomous in their ability to perform work, and highly impactful towards the success of the business.
What You'll Do:
<ul>
<li>
Work with Product Manager, Design team, and Engineers to clearly understand testing requirements and procedures
</li>
<li>
Design, develop, and run manual &amp; automated tests to validate functionality of our core applications
</li>
<li>
Drive quality testing initiatives, analyze functionality of application, and continuously identify areas of improvement within our test automation suite
</li>
<li>
Develop test cases, document quality issues, and create testing reports
</li>
<li>
Create and maintain test data across test environments
</li>
<li>
Collaborate effectively with a distributed and cross-functional team to resolve any open issues
</li>
<li>
Provide timely QA updates to project managers and team leads
</li>
</ul>
What You Bring:
<ul>
<li>
6+ years of experience as an Automation Engineer with expertise in service layer testing and some UI automation experience
</li>
<li>
Proficiency programming with python and Javascript; other languages are a plus
</li>
<li>
Additional experience with frameworks preferably with Cypress or Playwright
</li>
<li>
Good knowledge and use of SQL
</li>
<li>
Experience with CI/CD pipelines using Jenkins, Github actions or similar tools.
</li>
<li>
Familiar with Docker and Git.
</li>
<li>
Detailed knowledge of application functions, bug fixing, and testing protocols
</li>
<li>
Excellent communication, critical thinking, and analytical skills
</li>
<li>
You are self driven, motivated, and feel a sense of ownership
</li>
<li>
Ability to adapt to and manage competing priorities
</li>
<li>
Comfortable with ambiguity and taking the initiative when required
</li>
<li>
BS degree in Computer Science or equivalent experience&nbsp;
</li>
<li>
Healthcare domain knowledge is a plus
</li>
</ul>
What We Offer:
<ul>
<li>
Work from anywhere in the US! Machinify is digital-first.
</li>
<li>
Flexible and trusting environment where you’ll feel empowered to do your best work
</li>
<li>
Unlimited PTO
</li>
<li>
Full Medical/Dental/Vision for employees &amp; their families w/ 100% premium coverage options!
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Competitive salary, equity, 401(k) sponsorship
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Learning and Development reimbursement policy
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</ul>
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 dependent on leveling is between 150k-180k.
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 to meet the needs of each individual.
Equal Employment Opportunity at Machinify
Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.&nbsp;
See our Candidate Privacy Notice at: <a href="https://www.machinify.com/candidate-privacy-notice/" target="_blank">https://www.machinify.com/candidate-privacy-notice/</a>

Sr. Automation Engineer | Quality Assurance (Remote)

<h3>Job Description</h3>
Job Description
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 60 health plans, including many of the top 20, and representing more than 160 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.
 
 What You’ll Do As a Senior/Staff Software Engineer at Machinify, you will lead the design and development of large-scale systems that bring cutting-edge AI into production to transform Payment Integrity and Audit solutions. You will: 
<ul>
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Lead development of document processing pipelines capable of annually handling hundreds of millions of documents, including medical records, claims, and benefits data.
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Design and implement agentic workflows that review and validate millions of healthcare claims per year, ensuring accuracy and payment integrity.
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Evolve our agentic ecosystem by driving innovation in prompt development lifecycle, optimal utilization of various flavors of multi-modal (text + vision) LLMs, context extraction, RAG, workflow orchestration frameworks, observability and logging, and explainability of LLM outputs.
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Collaborate across teams (Data Science, Data Engineering, and Product) to deliver robust, end-to-end AI-powered systems that automate complex workflows.
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Address critical infrastructure needs by tracking and reducing tech debt while strengthening system reliability and scalability.
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Mentor and guide engineers on best practices in designing production-grade AI systems, helping set technical direction for the team. 
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</ul>
What You’ll Bring
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6+ years of software engineering experience, including at least 2 years building agentic systems or AI-driven workflows in an enterprise setting.
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Strong programming expertise in Java and Python, with additional experience in Scala a significant plus.
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Experience designing and scaling large-scale, distributed systems and pipelines, ideally processing unstructured data such as documents or healthcare records.
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Proven ability to productionize AI/ML techniques (e.g., LLM prompt engineering, RAG, workflow automation, and agents) with a focus on reliability, observability, and explainability.
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Knowledge of monitoring and observability tools (Prometheus, Grafana or similar) and passion for tracking metrics.
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Strong CS fundamentals, including data structures, asynchronous programming, and system design.
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Demonstrated success in reducing manual processes through automation, ideally in healthcare, fintech, or other regulated domains.
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Collaborative mindset with experience working closely with data scientists and cross-functional teams to translate requirements into technical designs and production systems.
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A passion for pushing the boundaries of AI to deliver better-than-human-level accuracy and efficiency at scale. 
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</ul>
Technical Requirements
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Bachelor’s or Master’s degree in Computer Science or a related field (or equivalent practical experience).
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Track record of building and shipping enterprise-grade AI/ML systems in production.
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Strong testing and code quality discipline, with experience contributing to and improving enterprise-grade systems.
</li>
</ul>
 • Experience with big-data tools and distributed systems frameworks (e.g., Spark, Flink, Kafka, Airflow, Ray) is a strong plus. 
Equal Employment Opportunity at Machinify
Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.&nbsp;
See our Candidate Privacy Notice at: <a href="https://www.machinify.com/candidate-privacy-notice/" target="_blank">https://www.machinify.com/candidate-privacy-notice/</a>

Software Engineer - GenAI & Agentic Workflows

<h3>Job Description</h3>
Job Description
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 60 health plans, including many of the top 20, and representing more than 160 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.
Why this role matters
As a Data Engineering Manager, you will lead a high-performing team responsible for transforming raw external and customer data into actionable, trusted datasets. Your team’s work powers product decisions, ML models, operational dashboards, and client integrations.
You’ll combine hands-on technical expertise with people and project leadership, reviewing and designing production pipelines, mentoring engineers, and driving best practices. You will also be a key cross-functional partner, collaborating with product managers, Server teams, Platform teams, UI teams, SMEs, account managers, analytics teams, ML/DS teams, and customer success to ensure data is accurate, reliable, and impactful.
This is a high-visibility role with both strategic and tactical impact — shaping data workflows, onboarding new customers, and scaling the team as the company grows.
What You’ll Do
<ul>
<li>
Lead, mentor, and grow a high-performing team of Data Engineers, fostering technical excellence, collaboration, and career growth. 
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Own the design, review, and optimization of production pipelines, ensuring high performance, reliability, and maintainability. 
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Drive customer data onboarding projects, standardizing external feeds into canonical models. 
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Collaborate with senior leadership to define team priorities, project roadmaps, and data standards, translating objectives into actionable assignments for your team. 
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Lead sprint planning and work with cross-functional stakeholders to prioritize initiatives that improve customer metrics and product impact. 
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Partner closely with Product, ML, Analytics, Engineering, and Customer teams to translate business needs into effective data solutions. 
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Ensure high data quality, observability, and automated validations across all pipelines. 
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Contribute hands-on when necessary to architecture, code reviews, and pipeline design. 
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Identify and implement tools, templates, and best practices that improve team productivity and reduce duplication. 
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Build cross-functional relationships to advocate for data-driven decision-making and solve complex business problems. 
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Hire, mentor, and develop team members, fostering a culture of innovation, collaboration, and continuous improvement. 
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Communicate technical concepts and strategies effectively to both technical and non-technical stakeholders. 
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Measure team impact through metrics and KPIs, ensuring alignment with company goals. 
</li>
</ul>
What You Bring
<ul>
<li>
Degree in Computer Science, Engineering, or a related field. 
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3+ years of combined technical leadership and engineering management experience, preferably in a startup, with a proven track record of managing data teams and delivering high-impact projects from concept to deployment. 
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10+ years of experience in data engineering, including building and maintaining production pipelines and distributed computing frameworks. 
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Strong expertise in Python, Spark, SQL, and Airflow
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Hands-on experience in pipeline architecture, code review, and mentoring junior engineers. 
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Prior experience with customer data onboarding and standardizing non-canonical external data. 
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Deep understanding of distributed data processing, pipeline orchestration, and performance tuning. 
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Exceptional ability to manage priorities, communicate clearly, and work cross-functionally, with experience building and leading high-performing teams. 
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Demonstrated experience leading small teams, including performance management and career development. 
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Comfortable with ambiguity, taking initiative, thinking strategically, and executing methodically. 
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Ability to drive change, inspire distributed teams, and solve complex problems with a data-driven mindset. 
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Customer-oriented, ensuring work significantly advances product value and impact.
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</ul>
Bonus:
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Familiarity with healthcare data (837/835 claims, EHR, UB04). 
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Experience with cloud platforms (AWS/GCP), databricks , streaming frameworks (Kafka/SQS), and containerized workflows (Docker/Kubernetes). 
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Experience building internal DE tooling, frameworks, or SDKs to improve team productivity.
</li>
</ul>
Why you'll love working here
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High Impact: Your team’s work powers key decisions across product, ML, operations, and customer-facing initiatives. 
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Ownership &amp; Growth: Influence the data platform and pipeline architecture while mentoring a growing team. 
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Cross-Functional Exposure: Work with product, platform, engineering , ML, analytics, and customer teams to solve meaningful problems. 
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Remote Flexibility: Fully remote with opportunities to collaborate across teams. 
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</ul>
Early Builder Advantage: Shape processes, standards, and practices as we scale.
Equal Employment Opportunity at Machinify
Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.&nbsp;
See our Candidate Privacy Notice at: <a href="https://www.machinify.com/candidate-privacy-notice/" target="_blank">https://www.machinify.com/candidate-privacy-notice/</a>

Data Engineering Manager

<h3>Job Description</h3>
Job Description
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 60 health plans, including many of the top 20, and representing more than 160 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.
 Machinify is seeking a Product Manager to help us translate the voice of the customer and our product strategy into product requirements. 
What you’ll do:
<ul>
<li>
Conduct user interviews and lead discovery to uncover the biggest opportunities for customer value.
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Understand the drivers of business value to the customer, challenge the status quo and propose new processes where needed to deliver that value.
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Translate customer opportunities and needs into requirements for our Design, Engineering, and Data Science teams.
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Facilitate refinement discussions to drive out needed functional requirement details
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Work closely with Design teams in detail to create impactful product interfaces and user experiences.
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Ensure the execution of our product roadmap, setting key delivery milestones and overseeing on-time, seamless delivery of product requirements
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Drive cross-functional alignment among stakeholders, building strong partnerships and facilitating collaboration across teams&nbsp;
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Bring a high level of curiosity and the ability to ask probing questions
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Develop a deep understanding of the Machinify platform and products and the ability to estimate technical complexity of implementation. 
</li>
</ul>
What You Bring:
<ul>
<li>
You have deep experience as a Product Manager in a high-tech organization, and have a strong track record of facilitating the delivery of impactful, outcome-driven roadmaps.
</li>
<li>
You have experience working directly with design teams and bring a strong understanding and foundation of UX principles.
</li>
<li>
You have extensive track record in software product delivery, either as a product manager or a software engineer.
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You take the initiative and own projects from start to finish
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You can build positive relationships based on trust and value delivered
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You can communicate effectively and bring strong process, project management and decision-making/facilitating skills 
</li>
</ul>
Equal Employment Opportunity at Machinify
Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.&nbsp;
See our Candidate Privacy Notice at: <a href="https://www.machinify.com/candidate-privacy-notice/" target="_blank">https://www.machinify.com/candidate-privacy-notice/</a>

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