Software Development Engineer

Relha LLC

Wisconsin

On-site

USD 72,000 - 144,000

Full time

9 days ago

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Job summary

CVS Health is seeking a Software Development Engineer to design and build scalable AI-powered applications, platform services, and APIs across cloud environments. You will collaborate with Product, Data Science, Security, and Platform Engineering to deliver reliable, secure solutions that support enterprise AI initiatives.

Qualifications include 3+ years of software development, RESTful APIs, cloud experience (GCP/AWS/Azure), CI/CD, Docker and Kubernetes, OO design, and Agile practices.

Qualifications

  • 3+ years of software development experience building enterprise-grade applications and services.
  • Experience developing and consuming RESTful APIs and microservices architectures.
  • Hands‑on experience with cloud platforms such as GCP, Azure, or AWS.

Skills

Software development
RESTful APIs
Microservices
Cloud platforms
CI/CD
Docker
Kubernetes
OOP design
Data modeling
Agile/Scrum
Communication

Education

Bachelor's degree in CS/SE
Master's preferred
Equivalent experience considered

Tools

Git/GitHub
APIGEE
OAuth2
SSO
BigQuery
Snowflake
Kafka

Job description

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

Position Summary

The Software Development Engineer (SDE) will be responsible for designing, developing, testing, and maintaining scalable AI-powered applications, platform services, APIs, and automation solutions that support enterprise AI initiatives. This role partners closely with Product, Architecture, Data Science, Operations, Security, and Platform Engineering teams to deliver reliable, secure, and high-performing solutions across cloud environments. The engineer will contribute to AI Platform products and foundational services, including LLM integrations, AI agents, observability, governance, redaction, analytics, and developer productivity tools while ensuring adherence to enterprise standards and best practices.

Required Qualifications
  • 3+ years of software development experience building enterprise-grade applications and services.
  • Experience developing and consuming RESTful APIs and microservices architectures.
  • Hands‑on experience with cloud platforms such as GCP, Azure, or AWS.
  • Knowledge of CI/CD pipelines, source control systems (Git/GitHub), and automated deployment practices.
  • Experience with containerization technologies such as Docker and Kubernetes.
  • Understanding of software design patterns, object‑oriented programming, and scalable system design.
  • Familiarity with databases, data modeling, and data integration techniques.
  • Strong analytical, problem‑solving, and troubleshooting skills.
  • Ability to work effectively in Agile/Scrum development environments.
  • Excellent written and verbal communication skills with the ability to collaborate across technical and business teams.
Preferred Qualifications
  • Experience building solutions utilizing Generative AI, LLMs, RAG architectures, AI agents, or machine learning services.
  • Experience with AI Platform services such as model gateways, observability, evaluation frameworks, or governance tooling.
  • Knowledge of OpenTelemetry, monitoring, logging, and operational excellence practices.
  • Experience with API security, authentication, and authorization technologies (OAuth2, SSO, APIGEE, PING, etc.).
  • Familiarity with vector databases, prompt engineering, model evaluation, and AI safety/governance concepts.
  • Experience with Snowflake, BigQuery, Kafka, or large‑scale data processing platforms.
  • Exposure to healthcare, highly regulated industries, or secure data handling practices.
  • Experience leading technical initiatives, mentoring engineers, and driving engineering best practices.
Education
  • Bachelor’s degree in Computer Science, Software Engineering, Information Technology, Computer Engineering, or a related technical field.
  • Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related discipline preferred.
  • Equivalent combination of education, professional training, and relevant work experience may be considered in lieu of a degree.
Anticipated Weekly Hours
40
Pay Range
The typical pay range for this role is:
$72,100.00 - $144,200.00

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.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 08/14/2026

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

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