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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Full Stack Engineer - **Company:** Vizient, Inc. - **Location:** Irving, TX, United States - **Experience:** Expert - **Salary:** $102,400 - $179,000 - **Contract:** Permanent contract - **Skills:** HTML, JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Business Analytics Applications, Data Analysis, Applications Architecture, User Authentication, Automation of Tests, Unit Testing, Cascading Style Sheets (CSS), Cloud Computing, Cloud Engineering, Software Quality, Code Review, Information Systems, Continuous Integration, Data Validation, Relational Databases, DevOps, Human-Computer Interaction, HP Systems Insight Manager, PostgreSQL, Enterprise Messaging Systems, Microsoft SQL Server, MySQL, Node.Js, Performance Tuning, Query Optimization, Release Management, E2e Testing, Software Tools, Standard Sql, Application Data, Secure Coding, Service Development Studio, Session Management, Software Engineering, Software Systems, SQL Stored Procedures, SQL Databases, Systems Integration, TypeScript, Web Applications, Data Logging, Enterprise Software Applications, ReactJS, Snowflake, Software Security, Indexer, Backend, Agentic-AI, Git, Data Layers, Event Driven Architecture, Data Lakes, Kubernetes, Information Technology, Data Analytics, Front End Software Development, Api Design, Restful APIs, Dynatrace, Docker, Databricks, Microservices - **Published:** November 8, 2026 - **Apply:** https://diversityjobs.com/career/18867376/Senior-Full-Stack-Engineer-Texas-Irving ## About the Role * Bachelor's degree in Computer Science, Engineering, Information Systems, a related field, or equivalent practical experience. * Five or more years of software engineering experience building and supporting enterprise applications. * Strong hands-on experience with React, TypeScript, JavaScript, and modern front-end development practices. * Strong hands-on experience with Node.js, TypeScript, API design, and backend service development. * Experience designing and implementing RESTful APIs, microservices, and enterprise integrations. * Strong SQL and relational database skills, including data modeling, schema design, indexing, query optimization, and transaction management. * Experience with relational database technologies such as PostgreSQL, SQL Server, MySQL, or comparable platforms. * Experience consuming governed data from analytical platforms such as Databricks, Snowflake, or comparable technologies. * Experience with Git, CI/CD pipelines, automated testing, code reviews, and modern software delivery practices. * Knowledge of cloud-native application architecture, containerized deployment, authentication, authorization, secure coding, and production operations. * Experience implementing automated unit, integration, API contract, component, and end-to-end testing. * Experience implementing application observability, including logging, monitoring, tracing, health checks, and operational metrics. * Strong analytical, problem-solving, communication, and cross-functional collaboration skills. * Experience with Docker, Kubernetes, event-driven architectures, and enterprise messaging platforms preferred. * Experience building analytics, reporting, workflow, dashboarding, or decision-support applications preferred. * Experience integrating applications with AI-enabled or large language model services and agentic workflows preferred. * Experience with Databricks, Delta Lake, Snowflake, or governed enterprise data products preferred. * Experience with front-end state management, component testing, API contract testing, and end-to-end test automation preferred. * Experience using AI-assisted development tools for coding, testing, documentation, technical research, and troubleshooting preferred. * Experience working in healthcare, supply chain, analytics, or another regulated and data-intensive environment preferred. * Relevant cloud, software development, or technology certifications preferred. ## Description In this role, you will design, develop, and support modern cloud-native applications that enable enterprise analytics, data-driven workflows, AI-enabled capabilities, and operational decision-making. You will deliver end-to-end solutions across the user interface, application, integration, and data layers. This includes developing modern React user experiences, scalable Node.js services, secure APIs, enterprise integrations, and reliable data-access solutions using relational and analytical data platforms. You will partner closely with Product Managers, Architects, AI Engineers, Data Engineers, Quality Engineers, and Cloud and DevOps Engineers to deliver secure, scalable, maintainable, and user-centered business solutions. The ideal candidate combines strong front-end and back-end engineering experience with expertise in cloud-native delivery, relational databases, automated testing, and production operations. Responsibilities * Design, develop, test, deploy, and maintain modern enterprise web applications using React, TypeScript, Node.js, and related technologies. * Deliver application functionality across presentation, application, integration, and data layers. * Translate business and technical requirements into secure, maintainable, and production-ready software solutions. * Develop responsive, accessible, and intuitive user experiences using React, TypeScript, JavaScript, HTML, CSS, and modern user-interface frameworks. * Build reusable user-interface components, shared libraries, and engineering patterns that can be adopted across product teams. * Optimize front-end applications for performance, accessibility, responsiveness, testability, and maintainability. * Collaborate with Product and user-experience partners to translate workflows and requirements into effective enterprise application experiences. * Implement secure authentication, authorization, and session-management patterns in user-facing applications. * Design and develop RESTful APIs, backend services, and microservices using Node.js and TypeScript. * Build scalable services that support business workflows, analytics, AI-enabled capabilities, and enterprise integrations. * Implement secure service-to-service communication, input validation, error handling, resiliency, and operational safeguards. * Integrate applications with internal platforms, APIs, event streams, analytical data platforms, and external enterprise systems. * Apply appropriate synchronous, asynchronous, and event-driven integration patterns. * Design and implement relational data models, schemas, and application data-access patterns. * Develop and optimize SQL queries, views, stored procedures, and persistence logic. * Apply indexing, query optimization, transaction management, and performance-tuning practices. * Build services that reliably consume and expose governed operational and analytical data. * Collaborate with Data Engineers to integrate applications with trusted enterprise data products and analytical platforms. * Contribute to data quality, security, lineage, migration, and production-support activities. * Develop applications for cloud-native deployment and containerized runtime environments. * Support Docker and Kubernetes-based deployment patterns and participate in CI/CD automation. * Implement structured logging, distributed tracing, application monitoring, health checks, alerting, and operational metrics. * Write and maintain automated unit, integration, contract, component, and end-to-end tests. * Support production troubleshooting, incident investigation, root cause analysis, remediation, and continuous improvement. * Apply secure coding, API security, dependency-management, and software supply-chain practices. * Work with Architects to implement approved solution, security, data, and integration patterns. * Collaborate with AI Engineers and Data Engineers to deliver intelligent, data-driven product capabilities. * Participate in product discovery, estimation, technical design, code reviews, testing, release planning, and operational-readiness activities. * Mentor engineers and contribute to shared development standards, technical documentation, reusable components, and engineering accelerators. * Use AI-assisted engineering tools responsibly to improve research, software development, testing, documentation, code quality, and troubleshooting.