Senior Backend Engineer - AI-Driven Microservices & Search

Hispanic Alliance for Career Enhancement; Connecticut; Hybrid; USD 65,000 - 173,000; Full time

Job summary

CVS Health is seeking a backend-focused Senior Software Engineer to build cloud-native microservices on GCP. You will design, develop, and maintain scalable distributed systems and data pipelines, with emphasis on AI-enabled features and real-time processing.

The role demands collaboration with architects, product teams, and cross-functional groups, ensuring reliability, performance, and secure scalable software delivery in a fast-paced environment.

Qualifications

• 4+ years of software engineering with full lifecycle experience.

Responsibilities

• Contribute to scalable microservices architectures including APIs and event-driven systems.
• Develop and maintain backend services with focus on scalability, resiliency, and performance.
• Collaborate with architects and engineers to implement cloud-native strategies.
• Build and optimize data pipelines for real-time and batch processing.
• Enable AI-driven capabilities like intelligent search and recommendations.
• Contribute to search systems using Elastic/OpenSearch/Solr/Lucene.
• Implement CI/CD, DevOps, and automated testing with modern tools.
• Ensure system reliability via monitoring, logging, and observability.
• Participate in design reviews and coding standards adherence.
• Work with product teams to deliver modular, scalable solutions.
• Support production systems, troubleshoot, and improve performance.
• Follow responsible AI practices for reliability of AI features.

Skills

Java

Python

Go

Kubernetes

Cloud-native

API design

Distributed systems

CI/CD

Observability

AI tooling

Education

Bachelor's degree or equivalent experience

Tools

Docker

Kubernetes

ElasticSearch

OpenSearch

Solr

Lucene

Job description

CVS Health is seeking a backend-focused Senior Software Engineer to build cloud-native microservices on GCP. You will design, develop, and maintain scalable distributed systems and data pipelines, with emphasis on AI-enabled features and real-time processing.

The role demands collaboration with architects, product teams, and cross-functional groups, ensuring reliability, performance, and secure scalable software delivery in a fast-paced environment.