Staff Software Engineer — AI & Search Platform

CVS Health; Indonesia; Remote; IDR 1,891,837,000 - 5,044,898,000; Full time

Job summary

CVS Health is seeking a Staff Software Engineer – Search / AI to lead architecture and delivery of scalable cloud-native platforms built on microservices and AI capabilities. You will drive design, implementation, and governance of AI-enabled search, retrieval, and decision-support systems across enterprise applications.

You will collaborate with product managers and architects to deliver modular, scalable solutions, mentor engineers, and promote responsible AI practices while ensuring

Qualifications

• 7+ years of experience in software engineering.

Responsibilities

• Drive enterprise architecture and technical strategy with a focus on microservices and AI platforms.
• Design and develop scalable microservices, APIs, and event-driven systems.
• Lead AI/ML solutions, including LLMs and RAG architectures.
• Develop scalable data platforms for real-time and batch processing.
• Enable AI-powered capabilities like intelligent search and recommendations.
• Drive CI/CD adoption and DevOps practices.
• Ensure observability, reliability and performance of systems.
• Collaborate with product managers and engineers to deliver scalable solutions.
• Lead design reviews and mentor engineers.
• Promote responsible AI practices and production readiness.

Skills

Microservices

AI platform engineering

Cloud-native

Java/Python/Kotlin/Go

Docker

Kubernetes

CI/CD

Observability

Education

Bachelor’s degree or equivalent experience

Tools

ElasticSearch/OpenSearch/Solr/Lucene

GitHub

Jenkins

CircleCI

Harness

Job description

CVS Health is seeking a Staff Software Engineer – Search / AI to lead architecture and delivery of scalable cloud-native platforms built on microservices and AI capabilities. You will drive design, implementation, and governance of AI-enabled search, retrieval, and decision-support systems across enterprise applications.

You will collaborate with product managers and architects to deliver modular, scalable solutions, mentor engineers, and promote responsible AI practices while ensuring