> Markdown version of [/jobs/ext/3049959-senior-software-engineer](https://www.wearedevelopers.com/jobs/ext/3049959-senior-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer - **Company:** CVS Health - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $101,970.0 - $203,940.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, BigQuery, Cloud Computing, Cloud Engineering, Cloud Foundry, Cloud Storage, Configuration Management, Continuous Integration, Data as a Services, Information Engineering, Data Infrastructure, Data Integration, Data Security, Data Stores, Disaster Recovery, Data Flow Control, Github, Monitoring of Systems, Network Topologies, Identity and Access Management, Subnetting, Python (Programming Language), Key Management, Natural Language Processing, Octopus Deploy, Tensorflow, Prometheus, Software Engineering, SQL Databases, Data Streaming, Unstructured Data, Pulumi, Google Cloud, Data Ingestion, Cloud Monitoring, Large Language Models, Grafana, Multi-Agent Systems, Amazon Virtual Private Cloud (VPC), Backend, Data Lakes, Kubernetes, Infrastructure Automation Frameworks, Hashicorp, Integration Frameworks, Apache Kafka, Graphql, Machine Learning Operations, Firewall Services Module, Restful APIs, Terraform, Grpc, Data Pipelines, Microservices - **Published:** September 24, 2026 - **Apply:** https://dejobs.org/x/x/57475FB9BFC648C686826B51945324F8/job/ ## About the Role · 5+ years of experience building data pipelines or backend data workflows using Python, Java, or similar languages · 2+ years of experience designing REST/GraphQL data services or integrating data APIs · 2+ years of experience with cloud platforms (GCP, AWS or Azure) · 2+ years of hands-on experience with Infrastructure as Code tools (Terraform preferred; Pulumi or CDK) Preferred Qualifications: · Hands-on experience working with ML/AI model integration in production (e.g., Vertex AI Endpoints, TensorFlow Serving, ML REST APIs) · Experience handling structured and unstructured datasets, including healthcare data (Rx claims, clinical documents, NLP text) · Direct, hands-on experience with Google Cloud Platform, especially BigQuery, Dataflow, GKE, Composer and Vertex AI · Knowledge of GenAI pipelines, LLM prompt workflows, and agent orchestration frameworks (e.g., LangChain, transformers) · Experience deploying Python-based ML/NLP services into microservice ecosystems using REST, gRPC, or sidecar architectures · Familiarity with GCP Shared VPC, VPC Service Controls, or private Google Access configurations for secure data platform networking · Exposure to FinOps practices - cloud cost attribution, showback/chargeback models, and resource tagging strategies Education: · Bachelor's degree or equivalent experience (HS diploma + 4 years relevant experience) ## Description We are seeking a highly skilled backend-focused Senior Software Engineer to join our modernization team focused on transforming the legacy CVS pharmacy systems into a cutting-edge, cloud-native platform. As part of the team, you will play a crucial role in designing and developing microservices that drive the modernization of critical patient and drug domains. You will work on integrating cloud-native solutions, enhancing performance, and ensuring seamless operation within a highly scalable and secure environment. The ideal candidate will have extensive experience in backend development, system design, and a strong understanding of cloud-native software engineering principles., · Design, build, and maintain scalable data pipelines to support analytics, ML, and operational reporting · Develop robust data ingestion, transformation, and integration workflows using Python, SQL, and modern data engineering frameworks · Build and maintain batch and streaming data pipelines leveraging technologies such as Kafka (or similar pub/sub tools) · Work with Google Cloud Platform (GCP) services, including Cloud Storage, Dataflow, Pub/Sub, BigQuery, Cloud Spanner and Cloud Functions · Develop and manage data APIs and interfaces (REST and GraphQL) to enable high-performance data access across microservices · Implement CI/CD automation for data pipelines using GitHub Actions, Argo CD, or equivalent tools · Collaborate with Data Scientists and MLOps teams to integrate ML/NLP models into data pipelines and production workflows · Build and operationalize NLP data pipelines for structured and unstructured data sources (e.g., Rx claims, clinical documents) · Implement frameworks for observability and data quality, ensuring ML predictions, confidence scores, and fallback events are logged into data lakes or monitoring systems Infrastructure Engineering Responsibilities: · Design and provision cloud infrastructure using Infrastructure as Code (IaC) tools such as Terraform or Pulumi for GCP resources including GKE clusters, Cloud SQL, VPC networks, IAM, and storage · Deploy, configure, and manage containerized data workloads using Kubernetes (GKE) - including deployments, autoscaling (HPA/VPA), namespaces, resource quotas, and health checks · Architect and maintain network topology for data platform environments - VPCs, subnets, firewall rules, private service access, Cloud NAT, and VPC Service Controls · Implement and enforce IAM policies, service account governance, and secrets management (GCP Secret Manager or HashiCorp Vault) to ensure least-privilege access across all data services · Build and maintain infrastructure monitoring and alerting using Cloud Monitoring, Prometheus, Grafana, or equivalent - covering pipeline latency, throughput, error rates, and resource utilization · Establish and maintain CI/CD pipelines for infrastructure changes using Terraform Cloud, GitHub Actions, or Argo CD, ensuring infrastructure drift detection and rollback capability · Manage environment parity (dev/staging/prod) for data platform infrastructure, including environment-specific configuration management and promotion workflows · Drive cloud cost governance - right-sizing compute resources, implementing committed-use discounts, setting up budget alerts, and producing cost attribution reports per workload · Design and implement disaster recovery, backup, and high-availability strategies for data stores, pipeline infrastructure, and ML serving endpoints · Collaborate with Security and Platform teams to ensure data infrastructure compliance with enterprise security policies, SOC 2, HIPAA, and CVS Health regulatory requirements ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Why segmenting your infrastructure into tiers makes your infrastructure design better](https://www.wearedevelopers.com/videos/1960-why-segmenting-your-infrastructure-into-tiers-makes-your-infrastructure-design-better) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Exploring the Power of gRPC-Gateway for Writing RESTful Services](https://www.wearedevelopers.com/videos/2072-exploring-the-power-of-grpc-gateway-for-writing-restful-services) - [Unleashing Potential Across Teams: The Power of Infrastructure as Code](https://www.wearedevelopers.com/videos/930-unleashing-potential-across-teams-the-power-of-infrastructure-as-code) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)