Backend Engineer - AI Personalization & Cloud Microservices

Hispanic Alliance for Career Enhancement

California (MO)

Hybrid

USD 65,000 - 173,000

Full time

12 days ago

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Job summary

CVS Health is seeking a highly skilled backend-focused Senior Software Engineer to join our team. You will build software components on a cloud-native platform hosted on Google Cloud Platform, design, develop, and maintain microservices and production systems, and partner with architects and senior engineers to drive scalable, reliable solutions.

You will contribute to real-time and batch data pipelines, enable AI-driven capabilities such as intelligent search and recommendations, and ensure

Qualifications

4+ years of experience in software engineering.
3+ years of experience building cloud-native applications (GCP, AWS, or Azure).
4+ Strong programming skills in 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.

Responsibilities

Design and implement 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 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.