Senior Developer (St. Louis)

World Wide Technology Healthcare Solutions•Jenks, OK

19d•Onsite

About The Position

We are seeking a Senior Developer to join a talented group of developers and engineers who share a passion for technology, continuous learning, and delivering enterprise-grade solutions. The ideal candidate has 5+ years of full-stack development experience, brings deep expertise in Node.js and Vue.js, and thrives on leveraging AI coding tools to accelerate productivity and quality. You are a collaborative leader who enjoys owning end-to-end solutions and mentoring teammates. Your first project will involve working with Platform Engineers to develop applications for an AI Native Engineering initiative within the organization. The INFOPS Application Development team delivers and supports on-prem and cloud platforms that power our custom application development organization. These highly available platforms support internal users and external customers around the globe. Our team operates in a fast-paced, collaborative environment, emphasizing Platform Engineering best practices, Infrastructure as Code, GitOps, and automation. As the organization continues to mature, the team is also evolving toward AI-native engineering, incorporating intelligent automation and AI-assisted workflows to reduce operational toil, improve reliability, and accelerate delivery across the software development lifecycle. The team partners with stakeholders to provide secure, reliable, and high-performing platforms that are simple to consume.

Requirements

Bachelor’s degree in Computer Science, MIS, or related field, or equivalent experience
5+ years of professional development experience with a strong full-stack focus
5+ years of experience with JavaScript and Node.js, building production APIs, services, and microservices
3+ years of experience with Vue.js; component design, state management (Pinia/Vuex), and frontend architecture.
Hands-on experience using AI coding tools (Claude, GitHub Copilot, M365 Copilot, Windsurf) in a professional engineering context
Experience building or integrating with MCP (Model Context Protocol) servers or similar AI agent integration patterns
CI/CD and DevOps experience: pipeline authoring, automated testing, deployment automation (GitHub Actions, Jenkins, Codefresh, or equivalent)
Experience with GitHub, Docker, and Kubernetes
Experience with Linux/Unix and shell scripting
Familiarity with microservices, Twelve-Factor App principles, and cloud-native development
Strong test-first mindset with experience in unit, integration, and end-to-end testing
Ability to analyze requirements and communicate effectively, both verbally and in writing
Team-oriented with strong work ethic, collaboration skills, and the ability to mentor others
Strong problem-solving, change management, and technical planning abilities
Permanent U.S. work authorization. Candidates requiring current or future visa sponsorship, including those on F-1/OPT, CPT or H1B, are not eligible for this role. This role is not open for staffing partners or corp-to-corp candidates.

Nice To Haves

Experience with Java, Grails, Python, or Go
Experience with React frontend development
Experience with IDP concepts and platforms like Backstage
REST API design and implementation, including OpenAPI/Swagger documentation, API gateway and routing patterns
Familiarity with secure, minimal containers: Minimus, Docker Hardened Images, etc.
Kubernetes-based platforms such as OpenShift
Cloud providers, especially Azure
Databases: MongoDB, Oracle, PostgreSQL
Messaging, search, and caching tools: RabbitMQ, Apache Solr, Redis
Containers and automation tools: Docker, Ansible
Monitoring tools: Prometheus, Grafana, Splunk
Prior experience designing AI-driven internal tooling or copilot integrations

Responsibilities

Design and build end-to-end full-stack applications using Node.js on the backend and Vue.js on the frontend, delivering cohesive, production-ready features from database to UI.
Develop scalable REST/GraphQL APIs and microservices that integrate with platform technologies such as Apache Solr, MongoDB, PostgreSQL, Oracle, and RabbitMQ deployed on Kubernetes.
Build and maintain internal libraries and SDKs that simplify consumption of platform services, and refactor existing applications for efficiency, reliability, and maintainability.
Lead architecture decisions for new features, ensuring solutions align with Twelve-Factor App principles and WWT best practices.
This role requires comfort working alongside AI-powered tools while maintaining strong engineering judgment, validation, and accountability for outcomes.
Sr Developers will contribute to the adoption and continuous improvement of AI-enabled workflows by providing feedback, identifying opportunities for automation, and safely incorporating AI assistance into repeatable operational patterns.
This includes leveraging approved AI tools and agents to assist with platform operations, troubleshooting, automation, documentation, and workflow efficiency under established governance and best practices.
Sr Developers on the INFOPS Application Development team are expected to actively use and support AI-assisted and agentic engineering workflows as part of their day-to-day work.
Develop agent-to-agent (A2A) AI workflows or applications.
Design, implement, and maintain MCP (Model Context Protocol) servers that expose enterprise data and capabilities to AI agents and LLM-powered workflows.
Own and evolve CI/CD pipelines using GitHub, Jenkins, and Codefresh, from commit hooks through automated testing and production deployment.
Develop and maintain deployment orchestration tools and automation workflows on Kubernetes-based platforms (including OpenShift).
Drive DevOps improvements: infrastructure-as-code, automated testing, deployment reliability, and monitoring with Prometheus and Grafana.
Participate in on-call rotation, monthly maintenance windows, and platform lifecycle tasks to ensure platform reliability.
Mentor mid-level and junior developers, conducting code reviews and sharing architectural knowledge to elevate team capability.
Work with customers and stakeholders to understand integration needs and translate business requirements into robust engineering solutions.
Collaborate with partner engineering teams to drive efficiencies across the organization and contribute to WWT best practices.
Maintain strong documentation and actively contribute to team knowledge sharing.
Work effectively in a fast-paced environment with shifting priorities, balancing support work, ad hoc requests, and project deliverables.