Software Engineer - Search and Personalization

CVS Health•Woonsocket, NE

2d•$64,890 - $173,040

About The Position

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. CVS Health is looking for hands-on, passionate people who want to join a high-energy and growing team to make a difference in customers’ lives and be at the forefront of digital innovation, reinventing what a pharmacy and healthcare company can be in the digital world. We are seeking a highly skilled backend-focused Senior Software Engineer to join our team focused on building software components using a cloud-native platform hosted on Google Cloud Platform (GCP). This role requires strong hands-on engineering expertise to build intelligent, distributed systems. As part of the team, you will play a key role in designing, developing, and maintaining microservices and production systems. The right candidate will be a strong analytical thinker, capable of breaking down complex problems into manageable components and solving them systematically. We value collaboration and a team-first mindset.

Requirements

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/OpenCode/Codex
Experience building distributed systems with an understanding of scalability, resiliency, and fault tolerance
Experience with search technologies such as ElasticSearch/OpenSearch/Solr/Lucene
Experience with CI/CD pipelines and DevOps 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
Bachelor’s degree or equivalent experience (HS diploma + 4 years relevant experience)

Nice To Haves

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

Responsibilities

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/OpenSearch/Solr
Implement CI/CD pipelines, DevOps practices, and automated testing using modern tools (GitHub, 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