Staff Software Development Engineer

DevOps, Gitlab Github OpenAI MongoDB Tooling Jenkins GraphQL RabbitMQ Recharts Dashboard Terraform Visionary DevSecOps LangChain Leadership Management Mentorship TypeScript Resilience Kubernetes Compassion PostgreSQL Highcharts Scalability Server-Side Public Cloud Apache Kafka Communication Data Analysis Microservices Data Synthesis Microsoft Azure Problem Solving Vector Database AI Integrations Computer Science Data Integration Machine Learning Containerization Cloud Operations Web Applications Front End Design Docker (Software) Analytical Skills Data Visualization Product Leadership Application Layers AWS CloudFormation Scalability Design Exception Handling Technical Strategy Workflow Management Root Cause Analysis Amazon Web Services Workflow Automation Continuous Delivery Time Off Management Software Engineering Cloud Infrastructure Technical Leadership Predictive Analytics Systems Architecture Regulatory Compliance Technology Ecosystems Business Requirements Performance Profiling Information Technology Cloud-Native Computing Full Stack Development Operational Excellence Artificial Intelligence Large Language Modeling Angular (Web Framework) Application Development Software Design Patterns Event-Driven Programming Self Service Technologies C# (Programming Language) Go (Programming Language) D3.js (Javascript Library) Java (Programming Language) Vue.js (Javascript Library) Node.js (Javascript Library) Infrastructure as Code (IaC) React.js (Javascript Library) Python (Programming Language) Software Development Life Cycle JavaScript (Programming Language) Generative Artificial Intelligence Concurrent Versions System (Software) Application Programming Interface (API), As a hands-on technical leader, you will be responsible for designing rich, interactive dashboards, building resilient backend microservices, and orchestrating deep integrations with diverse data objects and third-party systems. You will champion our DevOps culture and lead the charge in embedding AI-driven features into our product suite to automate workflows and deliver intelligent insights.

Sitting at the intersection of application development, data integration, and cloud operations, you will guide technical strategy, mentor engineering teams, and ensure operational excellence across the entire technology stack.

Responsibilities

• Architecture & Full Stack Development: Lead the end-to-end design, architecture, and development of highly scalable web applications, from responsive, user-centric frontends to robust backend services.
• Dashboarding & Data Visualization: Architect and implement rich, interactive dashboards and user interfaces that surface complex data insights in an intuitive, performant, and accessible manner.
• Backend & Data Integrations: Design and develop secure, scalable APIs (REST, GraphQL) and integration layers. Build seamless connections between our applications and diverse data objects, enterprise databases, and third-party platforms.
• AI Enablement & Implementation: Champion the integration of AI/ML technologies (e.g., Large Language Models, generative AI, predictive analytics) into core products. Develop intelligent features that automate user workflows and provide advanced data synthesis.
• Advanced Orchestration: Build and enhance MFT automations well beyond basic input/output file transfers, including complex orchestration, intelligent error handling, proactive monitoring, and self-service capabilities.
• DevOps & Cloud Infrastructure: Drive continuous delivery and cloud-native best practices. Architect, maintain, and optimize CI/CD pipelines, containerized deployments (Docker/Kubernetes), and Infrastructure as Code (IaC) to ensure high availability and rapid release cycles.
• Operational Excellence: Establish rigorous standards for monitoring, logging, and performance profiling across the stack. Act as the ultimate escalation point for complex, full-stack production issues and lead root-cause analysis.
• Technical Leadership & Mentoring: Serve as a subject matter expert and mentor to frontend, backend, and DevOps engineers. Establish coding standards, drive reusable design patterns, and collaborate closely with product leadership to groom the backlog and shape the technical roadmap.

• Experience: 7+ years of professional software engineering experience with a strong focus on full-stack development, system architecture, and scalable applications.
• Frontend Expertise: Mastery of modern JavaScript/TypeScript frameworks (e.g., React, Angular, or Vue) and experience with complex state management and data visualization libraries (e.g., D3.js, Recharts, Highcharts).
• Backend & API Proficiency: Deep expertise in server-side languages and frameworks (e.g., Node.js, Python, Java, C#, or Go). Proven ability to design scalable microservices and event-driven architectures.
• Data Object Integration: Strong experience with relational and NoSQL databases (e.g., PostgreSQL, MongoDB), ORMs, and integrating complex, high-volume data feeds into application layers.
• AI Integration Skills: Hands-on experience integrating AI models and APIs (e.g., OpenAI, Anthropic) into software products. Familiarity with AI orchestration frameworks (e.g., LangChain) and vector databases.
• DevOps & Cloud: Expert-level knowledge of public cloud ecosystems (AWS, Azure, or GCP). Strong proficiency with CI/CD tools (GitHub Actions, GitLab CI, Jenkins), containerization, and Infrastructure as Code (Terraform, CloudFormation).
• Problem-Solving & Communication: Exceptional analytical skills with an ability to break down complex business requirements into technical solutions. Excellent ability to communicate architectural decisions to both technical teams and business stakeholders., * Experience building internal developer platforms (IDP) or self-service tooling for engineering teams.
• Familiarity with data streaming technologies (e.g., Apache Kafka, RabbitMQ) for real-time integrations and API driven MFT integrations.
• Experience in secure software development lifecycle (DevSecOps) practices and data compliance.
• Experience supporting, designing, or enabling AI-ready architectures and workflows.
• Familiarity with healthcare data, regulatory compliance (HIPAA), and healthcare insurance feeds., * Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, or a related field (or equivalent practical experience).

$106,605.00 - $284,280.00

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. This position also includes an award target in the company’s equity award program.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

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.

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.