Software Engineer - Search and Personalization

Expectations for the Role

• Contribute to the design and implementation of scalable microservices architectures, including APIs, domain-driven services, and event-driven systems
• Develop and maintain backend services and distributed systems with a focus on scalability, resiliency, and performance
• Collaborate with architects and senior engineers to implement technical strategies aligned with microservices-based and cloud-native design
• Build and enhance data pipelines and platforms to support real-time and batch processing
• Enable/Implement AI-driven capabilities such as intelligent search, recommendations, and decision-support systems
• Contribute to the development and optimization of search systems using technologies such as Elastic/Open Search/Solr
• Implement CI/CD pipelines, Dev Ops practices, and automated testing using modern tools (Git Hub, Jenkins, CircleCI, Harness)
• Ensure system reliability through monitoring, logging, and observability best practices
• Participate in design discussions and code reviews, following established engineering standards and best practices
• Collaborate closely with product managers, architects, and cross‑functional teams to deliver scalable and modular solutions
• Support production systems, troubleshooting issues and improving system performance and stability
• Follow responsible AI practices, ensuring quality and reliability of AI-enabled features

• 4+ years of experience in software engineering, including full software development lifecycle (design, development, testing, deployment)
• 3+ years of experience building cloud-native applications (GCP, AWS, or Azure)
• 4+ Strong programming skills in at least one of the following languages:
  Java, Python, Kotlin, or Go, with a focus on backend and API development
• 2+ years of experience designing and developing microservices, including API design and event-driven patterns
• Experience using AI development tools such as Claude/Curosr/Open Code/Codex
• Experience building distributed systems with an understanding of scalability, resiliency, and fault tolerance
• Experience with search technologies such as Elastic Search/Open Search/Solr/Lucene
• Experience with CI/CD pipelines and Dev Ops practices
• Experience with containerization and orchestration (Docker, Kubernetes)
• Experience with observability and monitoring tools, including Splunk, for logging, alerting, and production support

• Proven experience working in highly cross‑functional, collaborative environments

• Experience working on data-driven systems such as personalization, recommendations, or analytics platforms
• Basic understanding of machine learning concepts, statistical methods, or search relevance techniques
• Strong communication skills and ability to collaborate effectively across teams

Bachelor's degree or equivalent experience (HS diploma + 4 years relevant experience)

40

Full time

The typical pay range for this role is:
$64,890.00 - $
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.

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.

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