Full Stack Engineer

Location: Anywhere in USA- Remote Job Type: Full-time

About the Role: We are looking for a Senior Technical Resource to join our engineering team. In this role, you will work across full-stack development, cloud infrastructure, automation testing, data engineering, and enterprise systems. You will lead technical design, drive automation, and leverage AI-assisted development tools to build scalable enterprise solutions.

Key Responsibilities: Design, develop, and maintain high-performance full-stack web applications and microservices. Build, execute, and scale end-to-end automated testing frameworks across frontend, backend, and API layers. Architect and manage cloud infrastructure, CI/CD pipelines, and containerized deployments across Azure and GCP.Design robust data pipelines (ETL/ELT), data models, and analytics reporting across modern and legacy data stores. Integrate AI tools, agentic workflows, and smart analytics into existing systems to streamline processes. Support enterprise applications (Oracle ERP, SAP) across Claims, Risk, and Financial management domains. Collaborate with cross-functional teams in an Agile/Scrum environment, leading sprint deliverables and technical architecture. Technical Requirements Programming & Frameworks: C#, Python, Java, JavaScript, TypeScript, VB.NET, Shell, PowerShell, SQL, PL/SQL, ASP.NET, .NET Core, Angular, HTML5, CSS, Bootstrap, jQueryArchitecture & Infrastructure: REST APIs, Microservices, Azure, GCP, Docker, Kubernetes, Jenkins, Azure DevOps, GitHub Actions, IIS, Tomcat, IBM Connect: Direct Databases & Data Engineering: SQL Server, Oracle, Snowflake, BigQuery, SSIS, Talend MDM, Dataflow, Data Fusion, Data Architecture, ETLAnalytics & Reporting: Power BI, SSRS, Crystal Reports, Smart Analytics, ML with BigQueryAutomation & API Testing: Selenium, Playwright, Robot Framework, JUnit, TestNG, Katalon Studio, Tosca, Worksoft, JMeter, Rest Assured, Karate, Postman, SwaggerAI & Advanced Tech: GitHub Copilot, Generative AI, Agentic AI, Prompt Engineering, Data Science Methodologies Enterprise Platforms & Tools: Oracle ERP, SAP Modules, JIRA, Service Now, Remedy Qualifications & Domain Expertise Strong experience in enterprise domain applications: Claims Management, Risk Management, Financials, Auditing, and Telecom Claim Processing. Proven track record as a Business Analyst or Agile Scrum Master leading cross-functional delivery teams. Hands-on experience driving software engineering best practices, design patterns, and test automation strategies.