Software Engineer Sr - Fullstack/Vue

Maryland Heights, Missouriusvia direct

// Job Type

Full Time

// Salary

Not disclosed

// Posted

1 month ago

About the Role

<h2>US Citizens or GC Holders only Must be on our W2- no C2C Local candidates only Onsite- 2-3 days per week</h2> RESPONSIBILITIES: Full Stack Development <ul> <li>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.</li> <li>Develop scalable REST/GraphQL APIs and microservices that integrate with platform technologies such as Apache Solr, MongoDB, PostgreSQL, Oracle, and RabbitMQ deployed on Kubernetes.</li> <li>Build and maintain internal libraries and SDKs that simplify consumption of platform services, and refactor existing applications for efficiency, reliability, and maintainability.</li> <li>Lead architecture decisions for new features, ensuring solutions align with Twelve-Factor App principles and best practices.</li> </ul> AI-Assisted & Agentic Engineering <ul> <li>This role requires comfort working alongside AI-powered tools while maintaining strong engineering judgment, validation, and accountability for outcomes.</li> <li>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.</li> <li>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.</li> <li>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.</li> <li>Develop agent-to-agent (A2A) AI workflows or applications.</li> <li>Design, implement, and maintain MCP (Model Context Protocol) servers that expose enterprise data and capabilities to AI agents and LLM-powered workflows.</li> </ul> CI/CD & DevOps <ul> <li>Own and evolve CI/CD pipelines using GitHub, Jenkins, and Codefresh, from commit hooks through automated testing and production deployment.</li> <li>Develop and maintain deployment orchestration tools and automation workflows on Kubernetes-based platforms (including OpenShift).</li> <li>Drive DevOps improvements: infrastructure-as-code, automated testing, deployment reliability, and monitoring with Prometheus and Grafana.</li> <li>Participate in on-call rotation, monthly maintenance windows, and platform lifecycle tasks to ensure platform reliability.</li> </ul> Leadership & Collaboration <ul> <li>Mentor mid-level and junior developers, conducting code reviews and sharing architectural knowledge to elevate team capability.</li> <li>Work with customers and stakeholders to understand integration needs and translate business requirements into robust engineering solutions.</li> <li>Collaborate with partner engineering teams to drive efficiencies across the organization and contribute to best practices.</li> <li>Maintain strong documentation and actively contribute to team knowledge sharing.</li> <li>Work effectively in a fast-paced environment with shifting priorities, balancing support work, ad hoc requests, and project deliverables.</li> </ul> REQUIRED QUALIFICATIONS: <ul> <li>Bachelor’s degree in Computer Science, MIS, or related field, or equivalent experience</li> <li>5+ years of professional development experience with a strong full-stack focus</li> <li>5+ years of experience with JavaScript and Node.js, building production APIs, services, and microservices</li> <li>3+ years of experience with Vue.js; component design, state management (Pinia/Vuex), and frontend architecture.</li> <li>Hands-on experience using AI coding tools (Claude, GitHub Copilot, M365 Copilot, Windsurf) in a professional engineering context</li> <li>Experience building or integrating with MCP (Model Context Protocol) servers or similar AI agent integration patterns</li> <li>CI/CD and DevOps experience: pipeline authoring, automated testing, deployment automation (GitHub Actions, Jenkins, Codefresh, or equivalent)</li> <li>Experience with GitHub, Docker, and Kubernetes</li> <li>Experience with Linux/Unix and shell scripting</li> <li>Familiarity with microservices, Twelve-Factor App principles, and cloud-native development</li> <li>Strong test-first mindset with experience in unit, integration, and end-to-end testing</li> <li>Ability to analyze requirements and communicate effectively, both verbally and in writing</li> <li>Team-oriented with strong work ethic, collaboration skills, and the ability to mentor others</li> <li>Strong problem-solving, change management, and technical planning abilities</li> </ul> PREFERRED QUALIFICATIONS: <ul> <li>Experience with Java, Grails, Python, or Go</li> <li>Experience with React frontend development</li> <li>Experience with IDP concepts and platforms like Backstage</li> <li>REST API design and implementation, including OpenAPI/Swagger documentation, API gateway and routing patterns</li> <li>Familiarity with secure, minimal containers: Minimus, Docker Hardened Images, etc.</li> <li>Kubernetes-based platforms such as OpenShift</li> <li>Cloud providers, especially Azure</li> <li>Databases: MongoDB, Oracle, PostgreSQL</li> <li>Messaging, search, and caching tools: RabbitMQ, Apache Solr, Redis</li> <li>Containers and automation tools: Docker, Ansible</li> <li>Monitoring tools: Prometheus, Grafana, Splunk</li> <li>Prior experience designing AI-driven internal tooling or copilot integrations</li> </ul>

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