Staff Software Development Engineer ( Provider Selection Analytics, ML, GCP)

Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver.
 
Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.

Position Summary 

Our Provider Selection Analytics Engineering team within the Analytics & Behavior Change (A&BC) division of our Data, Digital, Analytics, Technology (DDAT) organization is seeking a Staff Software Development Engineer.  We are looking for passionate, driven individuals who want to join a high-energy, growing team dedicated to making a difference in the lives of Aetna members.  Our work ensures that across Aetna’s networks, we use our advanced analytics capabilities to connect members to the best possible provider able to meet their needs.  Whether this is through advanced provider search functionality, optimizing member-facing customer service experiences, or ensuring that we can give members personalized cost estimates for any prospective procedure or service, we apply the tools and resources at our disposal to deliver a best-in-class experience for our members.

This team develops a broad technical portfolio of data, analytics, software and machine learning assets that ensure our Provider Selection & Smart Compare teams able to build and deploy their provider-matching intelligence at scale across batch and real-time use cases.  As the healthcare landscape evolves and changes, our teams work is a crucial part of the overall CVS Health mission: transforming care to drive superior health outcomes and a seamless patient and consumer experience.

As a Staff Software Development Engineer, you will be responsible for building best-in-class applications that integrate advanced analytics capabilities (predictive models, LLMs, vector search) into complex distributed systems built within the Google Cloud Platform.  You will work on cutting-edge products, leveraging your expertise in cloud technologies, software architecture, and distributed system design.  You will join a high-caliber engineering team dedicated to delivering impact quickly while ensuring our code base and architecture are constantly maturing, allowing us to iterate quickly while we explore bold technical solutions to incredibly complex problems, and then pivot to scaling execution across the lives of millions. 

Responsibilities: 

• Software Development Expertise: Demonstrated excellence in software development with a disciplined approach to problem-solving.  Excels at breaking down complex problems into multi-step plans within an Agile development environment.  Deep understanding of SOLID principles and similar software development philosophies. 

• Engineering Excellence:  Develops solutions that are well engineered, flexible, resilient, operable, maintainable, and can be delivered on schedule. Ensures a balance between tactical and strategic technology solutions.  Ensure all NFRs (e.g., performance, availability and fail-over, scalability, security, etc.) are properly articulated, and work with all parties to guarantee that the software products that are delivered meet these objectives. 

• Architectural Expertise: Strong architectural sense with experience in various software architectures and messaging patterns.  Proven ability to drive large solutions across multiple applications.  Able to analyze existing architectures and develop opportunities for improvements in alignment with industry best practices. 

• Cloud Distributed Systems:  Experience working in high-volume, high-frequency distributed systems and tackling the hardest scalability problems presented.  Experience with major cloud platforms (GCP preferred) and modern service, interface, and messaging patterns. 

• On the Cutting Edge: Experience integrating excellence in software development, cloud platforms, and distributed system design and architecture into systems involving machine learning and language models.  Investigate and design novel and unique technology solutions and lead the building of POCs to validate technical hypothesis and provide reference architectural solutions. 

• Analytics & Non-Relational Exposure: Broad knowledge encompassing the data and analytics space: work orchestration, OLAP and non-relational databases (BigQuery, Mongo Atlas, KV stores, caches).  You know the right data storage for the job and understand how to integrate them with large-scale service architectures. 

• Critical Thinking: Strong critical thinking skills with the ability to move fluidly between high-level abstract thinking and detailed implementation.  Strong collaboration skills in technical settings, able to help others understand complex ideas by simplifying and clarifying with ease. 

• Budding Leadership: Emerging leader with an interest in mentoring junior engineers, producing strong, cohesive technical teams.  Strong collaboration, influencing, coaching, and coalition-building skills.  We support and challenge each other to bring our best work, every day. 

• Passion and Engagement: Passionate about technology with a high technical aptitude. Engaged, focused, and driven to deliver best-in-class solutions. 

• Communication Skills: Strong relationship-building and communication skills, with the ability to work effectively with stakeholders at all levels.  

• Regulatory Compliance & Security: Good understanding of healthcare of other regulated industries, particularly how to manage regulated data in a complex distributed environment where encryption is the default.  Ensure that all PII & PHI data is handled in a secure manner and that solutions account for threat vectors. 

 
Required Qualifications 

• 7+ years of software industry experience with 3+ years as a technical leader. 

• 2+ years leading technical architecture initiatives that impact many value streams. 

• 2+ years designing and developing distributed systems, employing a disciplined approach. 

• 7+ years involved in requirements analysis, estimation within a formal SDLC. 

• 6+ years of mastery with development languages (Python, Java, C#, Go, etc.). 

• 5+ years of relational databases, including in the cloud. 

• 4+ years of non-relational databases (document stores, KV stores, caches). 

• 3+ years architecting solutions in any major cloud. 

• 3+ years with micro-services architecture, APIs, real-time system integrations. 

• 3+ years of automated unit and integrating testing. 

• 2+ years of experience and mastery with Python. 

• 2+ years with asynchronous messaging. 

• 2+ years with machine learning models in a production environment. 

• 1+ years with large language models in a production environment. 

Preferred Qualifications 

• Strong experience in web services, microservice and service-oriented architectures

• Expert in Python, Java, Go, .NET or other similar programming languages

• Expert in SQL, relationship database management systems, and non-relational or no-SQL database management systems.

• Ability to diagram complex software architectures and communicate complex engineering ideas to non-technical stakeholders both visually and verbally

• Expert in relationship management for both technical and non-technical customers and stakeholders

• Strong understanding of cloud-based technologies (GCP, Azure, AWS), engineering frameworks and tools 

• Experience delivering in Agile, SAFE, Kanban, and Lean practices. 

• Experience in data strategy, data architecture, cloud software engineering design patterns, data science & machine learning methodologies, systems integrations, analytics/BI program management (SQL, Python, R, Java) 

• Understanding and familiarity with CI/CD, cloud devops, containers (kubernetes/Docker, etc.), Python/PySpark, dataproc, dataflow, pub/sub, and other GCP managed services 

Education 

• Bachelor’s degree in computer science or a closely related discipline, or an equivalent combination of formal education and experience. 

• Master's degree is a plus 

Pay Range

The typical pay range for this role is:

$130,295.00 - $260,590.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls.  The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors.  This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.  This position also includes an award target in the company’s equity award program. 
 
In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities.  The Company offers a full range of medical, dental, and vision benefits.  Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees.  The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners.  As for time off, Company employees enjoy Paid Time Off (“PTO”) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies. 
 
For more detailed information on available benefits, please visit Benefits | CVS Health

We anticipate the application window for this opening will close on: 01/06/2025

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.