Software Engineer - Search and Personalization

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

Job summary

CVS Health is seeking a backend-focused Senior Software Engineer to join a cloud-native team on Google Cloud Platform. You will design, develop, and maintain microservices and production systems, emphasizing scalability and reliability in a fast-paced environment.

The role requires hands-on engineering, strong problem-solving, and collaboration across product and architecture teams to deliver modular, AI-enabled features with robust data pipelines and observability.

Qualifications

• 4+ years in software engineering across full SDLC.
• 3+ years building cloud-native apps (GCP/AWS/Azure).
• Proficient in Java, Python, Kotlin or Go for backend/API.
• 2+ years designing microservices and API patterns.
• Experience with AI tools like Claude, Codex, OpenCode.
• Experience with distributed systems for scalability and resilience.
• Experience with search tech: Elasticsearch/OpenSearch/Solr/Lucene.
• CI/CD and DevOps experience; Docker and Kubernetes.
• Observability/monitoring with Splunk; strong cross-functional collaboration.

Responsibilities

• Design and implement scalable microservices architectures, including APIs and event-driven systems.
• Develop and maintain backend services and distributed systems for scalability and performance.
• Collaborate with architects and senior engineers on cloud-native design strategies.
• Build data pipelines for real-time and batch processing.
• Enable AI-driven capabilities such as intelligent search and recommendations.
• Develop and optimize search systems (Elastic/OpenSearch/Solr).
• Implement CI/CD pipelines and automated testing.
• Ensure reliability via monitoring, logging, and observability practices.
• Participate in code reviews and design discussions per engineering standards.
• Collaborate with product teams to deliver modular scalable solutions.
• Support production systems and improve performance and stability.
• Follow responsible AI practices for quality and reliability.

Skills

Software engineering

Cloud-native apps

Backend programming

Microservices design

API development

Distributed systems

CI/CD

DevOps practices

Observability tools

Java

Python

Kotlin

Go

Claude

Curosr

OpenCode

Codex

Elasticsearch

OpenSearch

Solr

Lucene

Docker

Kubernetes

Splunk

Cross-functional teamwork

Education

Bachelor's degree

Tools

GCP

AWS

Azure

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.

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.

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/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

REQUIRED QUALIFICATIONS

• 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

Additional REQUIRED QUALIFICATIONS

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

PREFERRED QUALIFICATIONS

• 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

EDUCATION

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

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$64,890.00 - $173,040.00

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.

Application Deadline

We anticipate the application window for this opening will close on: 08/21/2026

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