Job description

What We Do Milliman IntelliScript is a group of a few hundred experts in fields ranging from actuarial science to information technology to clinical practice. Together, we develop and deploy category-defining, data-driven, software-as-a-service (SaaS) products for a broad spectrum of insurance clients. We're a business unit within Milliman, Inc., a respected consultancy with offices around the world. Candidates who have their pick of jobs are drawn to IntelliScript's entrepreneurial and collaborative culture of innovation, excellence, exceptional customer service, balance, and transparency. Every single person has a voice in our company, and we challenge each other to push the outer limits of our full, diverse potential. And we've shown sustained growth that ensures you'll have room to grow your skillset, responsibilities, and career. Our team is smart, down-to-earth, and ready to listen to your best ideas. We reward excellence and offer competitive compensation and benefits. Visit our LinkedIn page for a closer look at our company, and learn more about our cultural values here . Milliman invests in skills training and career development and gives all employees access to a variety of learning and mentoring opportunities. Our growing number of Milliman Employee Resource Groups (ERGs) are employee-led communities that influence policy decisions, develop future leaders, and amplify the voices of their constituents. We encourage our employees to give back to their varied professions, including leadership in professional organizations. Please visit our website to learn more about Milliman's commitments to our people, diversity and inclusion, social impact, and sustainability. What this position entails The Software Engineer III will play a pivotal role in designing and delivering innovative technology solutions for the Life Sciences industry. As a key member of our Life Sciences product development team for Contxt, you will help create early-stage product solutions informed by market needs and product requirements. We are hiring for two roles and are seeking strong expertise in one of two areas: • Electronic health records (EHR) and clinical data, or • AI-assisted software delivery as an established professional practice Candidates with strength in both areas are ideal; however, those with deep expertise in one and working fluency in the other are also encouraged to apply. As a software engineer focused on Life Sciences data solutions and products, you thrive in fast-paced, early-stage environments, are deeply curious about clinical trial operations, and can balance strategic thinking with hands-on execution. In this role, you will help us achieve product-market fit, scale effectively, and bring new offerings to market. You will have the opportunity to shape early product direction and deliver solutions that drive efficiency, compliance, and value for our clients. How we work: AI-assisted delivery Generative AI is embedded in how the Contxt team builds and ships software today—it is not a side experiment. We use it throughout the development lifecycle, including refinement, planning, implementation, testing, and code review. This role is intended to deepen that capability: we are looking for engineers who already apply AI-assisted delivery in a professional setting and can help raise the bar across the team. We are not looking for someone focused only on what might be possible. We want to understand how you work today: how you guide AI using written specifications and relevant context, where you apply human judgment and review, how you generate and validate tests, and what you choose not to delegate. Our standard is fast delivery through high-quality gates, with a person accountable for every requirement, every line of code, and every test that reaches a client. What you'll be doing • Design, develop, maintain and improve software and other technical solutions that solve business challenges • Play a key role in redesigning our monolithic legacy products in AWS • Champion AWS best practices • Mentoring team members on software engineering best practices • Focus on overall product quality  • Develop and maintain unit and integration tests  • Responsibly self-manage workload given project priorities, deadlines and deliverables  • Help the team achieve sprint goals through independent work and collaboration • Participate in code reviews to promote quality and best practices • Support code deployments • Use generative AI across refinement, planning, implementation, test generation, and code review, and improve how the team applies it • Write the specifications, steering context, and prompts that make AI-generated work predictable, reviewable, and traceable to requirements • Hold the quality gates: review AI-generated code with the same rigor as your own, and confirm testing, security, and observability standards are met before anything ships • Design and build against clinical data sources, including EHR data, FHIR/HL7 interfaces, and medical claims data What we need • 5+ years of relevant software engineering experience • Strong experience with C# (.NET 8), React, and SQL • Experience developing cloud-native applications in AWS • Understanding of DevOps best practices using GitHub and Terraform • Familiarity with Agile delivery practices, such as Scrum • Experience across the full software development lifecycle • Strong technical design, problem-solving, and debugging skills • Experience with domain-driven design • Experience with microservices architecture • Experience with event-driven architecture • Experience writing testable code, including unit, integration, and related automated tests • Passion for building high-quality systems using AWS best practices • Strong collaboration skills, with the ability to work effectively both independently and as part of a team • Proven analytical skills, with the ability to interpret and implement business and functional requirements • Understanding of the value of test automation and a commitment to incorporating it into everyday development practices • Hands-on professional experience using AI-assisted development tools—such as GitHub Copilot, Copilot agents, Claude Code, or comparable tools—as part of daily software delivery in a corporate environment • A repeatable approach to AI-assisted delivery, including specification- and context-driven prompting, defined human review checkpoints, automated test coverage for generated code, and traceability from requirements to code to tests • Sound judgment about where AI adds value and where it does not, including when to reject, revise, or avoid generated output • Strong working knowledge of electronic health record (EHR) data and clinical workflows, including FHIR/HL7 interoperability and clinical or claims data integration What you bring to the table • Curiosity, adaptability, and a strong commitment to continuous learning • Ability to translate clinical workflows, patient eligibility processes, and digital health data into strong product and data design decisions • Strong knowledge of the field and a proactive approach to staying current with industry trends, best practices, and emerging technologies • Analytical rigor, attention to detail, and the ability to synthesize complex information to solve problems and support team goals • A track record of delivering meaningful results, creating value, and building alignment around a path forward • Sound judgment and the ability to assess and manage moderate to high levels of risk • Strong problem-solving capabilities, including the ability to navigate and resolve complex challenges • A collaborative working style that strengthens team performance, builds trust, and contributes to a positive team environment Wish list • Continued education and/or advanced degree(s) • Experience working in environments subject to HIPAA and/or PCI regulations • Experience in the software-as-a-service (SaaS), life sciences, and/or clinical trials industries • Certified Scrum Developer (CSD) certification • AWS certifications • Experience with test-driven development (TDD) • Experience designing systems using event-driven architecture • Experience modernizing on-premises legacy applications in an AWS cloud environment • Experience with clinical informatics, including data structures, storage, relationships, and data maintenance • In-depth knowledge of medical claims and electronic health records (EHRs), including ICD-10 codes, data management, and research use cases • Experience building or configuring development agents, agent orchestration, or multi-agent workflows • Experience using AI to analyze legacy code, generate specifications, and produce documentation as part of modernization efforts • Experience with Atlassian tools, including Jira and Confluence • Experience mentoring teams on AI-assisted engineering practices Location The expected application deadline for this job is November 30, 2026. This position is open to remote work. Applicants must be willing to travel to the Milliman office in Brookfield, WI as needed and travel nationwide for meetings, conferences, and team events. Compensation The overall range for this role is $104,900 - $199,065. For candidates residing in: • Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, New York City, Pennsylvania, Virginia, Washington, or the District of Columbia the range is $120,635 - $199,065. • All other locations the range is $104,900 - $173,100. A combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc. Individual(s) must be legally authorized to work in the United States without the need for immigration support or sponsorship from Milliman now or in the future.  Benefits We offer a comprehensive benefits package designed to support employees' health, financial security, and well-being. Benefits include: • Medical, Dental and Vision - Coverage for employees, dependents, and domestic partners. • Employee Assistance Program (EAP) - Confidential support for personal and work-related challenges. • 401(k) Plan - Includes a company matching program and profit-sharing contributions. • Discretionary Bonus Program - Recognizing employee contributions. • Flexible Spending Accounts (FSA) - Pre-tax savings for dependent care, transportation, and eligible medical expenses. • Paid Time Off (PTO) - Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis. • Holidays - A minimum of 10 paid holidays per year. • Family Building Benefits - Includes adoption and fertility assistance. • Paid Parental Leave - Up to 11 weeks of paid leave for employees who meet eligibility criteria. • Life Insurance & AD&D - 100% of premiums covered by Milliman. • Short-Term and Long-Term Disability - Fully paid by Milliman. Equal Opportunity All qualified applicants will receive consideration for employment, without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran. #IntelliScript #LI-REMOTE #LI-MS1

Requirements

Must-haves

What this position entails
We are hiring for two roles and are seeking strong expertise in one of two areas:
Electronic health records (EHR) and clinical data, or
AI-assisted software delivery as an established professional practice
Candidates with strength in both areas are ideal; however, those with deep expertise in one and working fluency in the other are also encouraged to apply.
How we work: AI-assisted delivery
What you'll be doing
Design, develop, maintain and improve software and other technical solutions that solve business challenges
Play a key role in redesigning our monolithic legacy products in AWS
Champion AWS best practices
Mentoring team members on software engineering best practices
Focus on overall product quality
Develop and maintain unit and integration tests
Responsibly self-manage workload given project priorities, deadlines and deliverables
Help the team achieve sprint goals through independent work and collaboration
Participate in code reviews to promote quality and best practices
Support code deployments
Use generative AI across refinement, planning, implementation, test generation, and code review, and improve how the team applies it
Write the specifications, steering context, and prompts that make AI-generated work predictable, reviewable, and traceable to requirements
Hold the quality gates: review AI-generated code with the same rigor as your own, and confirm testing, security, and observability standards are met before anything ships
Design and build against clinical data sources, including EHR data, FHIR/HL7 interfaces, and medical claims data
What we need
5+ years of relevant software engineering experience
Strong experience with C# (.NET 8), React, and SQL

Nice-to-haves

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Use the role’s language and application details while tailoring your materials.

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Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Paid Time Off

Parental Leave