Senior Software Engineer II
CareMetx
From intake to outcomes, CareMetx is dedicated to delivering industry-leading patient access solutions and support services that help patients quickly start and stay on specialty therapy treatments. We provide scalable, efficient digital hub services for pharmaceutical companies and healthcare providers, streamlining workflows with seamless integration for patient enrollment, consent, and prior authorization. Our best-in-class patient support services enhance every step of care, connecting patients, providers, and brands to drive better outcomes and accelerate time-to-therapy.
Job Title : Senior Software Engineer II POSITION SUMMARY : The Senior Software Engineer II is a highly experienced software engineer and technical leader who drives the design, development, and delivery of complex, scalable software systems at CareMetx. This role requires a seasoned engineer who brings deep full-stack expertise, strong architectural instincts, and a forward-thinking AI-first development mindset to every product and platform initiative. Operating with a high degree of autonomy, this individual leads technically across multiple projects, shapes engineering direction, mentors fellow engineers, and partners closely with product and business stakeholders to deliver meaningful, high-quality software that accelerates patient access to specialty therapies. Experience in the pharmaceutical or healthcare technology industry is strongly preferred. PRIMARY DUTIES AND RESPONSIBILITIES: AI-First Development & Innovation- Lead the adoption of AI-first development practices across the engineering organization - including AI-assisted code generation, intelligent code review, automated documentation, and LLM-powered feature development.
- Evaluate and integrate emerging AI tools, frameworks, and APIs (including large language models and generative AI platforms) into CareMetx's product and platform architecture.
- Establish internal standards and best practices for responsible, scalable AI integration; conduct knowledge-sharing sessions to accelerate AI fluency across engineering teams.
- Stay current with the rapidly evolving AI/ML landscape, bringing innovations back to the organization and translating them into concrete product improvements.
- Architect and develop robust, scalable, and maintainable software systems across the full stack - from API design and data modeling to front-end implementation and cloud infrastructure.
- Lead the technical design of complex features and platform capabilities, producing clear architectural documentation and driving cross-functional alignment before implementation begins.
- Own multiple concurrent complex projects end-to-end, from requirements refinement through deployment and post-launch observability.
- Establish and enforce engineering standards - including code quality, design patterns, security practices, and performance benchmarks - through code reviews, documentation, and direct mentorship.
- Proactively identify and address technical debt, refactoring opportunities, and architectural risks before they become blockers.
- Provide deep technical expertise across two or more engineering domains (e.g., backend services, cloud infrastructure, data engineering, API integrations, front-end architecture).
- Collaborate closely with product management, UX, and business stakeholders to translate complex requirements into practical, elegant technical solutions.
- Actively participate in product planning, sprint ceremonies, and roadmap discussions - providing engineering perspective on feasibility, effort, risk, and opportunity.
- Anticipate downstream technical implications of product decisions and proactively surface tradeoffs with clear, data-informed recommendations.
- Develop a strong command of CareMetx products and can effectively demo features and explain system behavior to both technical and non-technical audiences.
- Provide technical mentorship and career development guidance to junior and mid-level engineers, accelerating their growth and raising the overall capability of the team.
- Actively participate in recruiting, technical screenings, and hiring decisions - contributing to building a high-caliber engineering organization.
- Foster a culture of continuous learning, psychological safety, and engineering craftsmanship within the team.
- Initiate and lead cross-team collaboration on shared challenges, platform improvements, and architectural consistency.
- Serve as a clear, confident technical voice in team and leadership discussions - representing engineering perspective and escalating risks appropriately.
- Design and maintain robust CI/CD pipelines; champion automated delivery practices that reduce lead time and increase deployment reliability.
- Monitor system health, analyze production logs and metrics, and lead incident response for critical issues - including on-call coverage for production systems.
- Identify opportunities to improve engineering efficiency, developer experience, and system reliability - and follow through on implementing those improvements.
- Document system designs, APIs, runbooks, and engineering decisions to ensure institutional knowledge is captured and accessible.
- Demonstrate the ability to shift focus between competing priorities fluidly, managing workload without requiring external direction.
- Perform other related duties as assigned.
- Maintain regular and reliable attendance, including being present, on time, and prepared for work as scheduled.
- Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline; equivalent professional experience will be considered.
- 8-12 years of progressive software engineering experience, with a minimum of 2+ years in a Senior Engineer I or equivalent senior-level role.
- Demonstrated track record of leading complex software projects from inception through production deployment and ongoing support.
- Experience in the pharmaceutical, specialty pharmacy, or healthcare technology industry strongly preferred.
- Expert-level proficiency in one or more backend languages (e.g., Python, Java, C#, Node.js) and strong competency in front-end technologies (e.g., React, TypeScript, Angular).
- Deep experience designing and building RESTful and GraphQL APIs, microservices architectures, and event-driven systems.
- Hands-on experience integrating AI/ML tools and LLM APIs (e.g., OpenAI, Azure OpenAI, Anthropic) into production software - building AI-powered features and intelligent workflows.
- Strong command of cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes); experience with infrastructure-as-code (Terraform, Pulumi, or similar).
- Proficiency with relational and NoSQL databases; experience with data modeling, query optimization, and ensuring data integrity at scale.
- Experience with CI/CD tooling (e.g., GitHub Actions, Azure DevOps, Jenkins), observability platforms, and modern software delivery practices.
- Excellent analytical and problem-solving skills; capable of breaking down ambiguous, high-complexity problems into actionable engineering plans.
- While performing the duties of this job, the employee is regularly required to sit
- The employee must occasionally lift and/or move up to 10 pounds.
- Must be flexible on schedule and hours
- Some travel may be required
$95.6k - $119.5k
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