Senior Software Developer

• Enterprise Solution Delivery: Deliver scalable, secure, and maintainable technology solutions that support critical business functions and strategic initiatives.
• Operational and Experience Improvement: Improve operational efficiency and customer and employee experiences through process automation, application modernization, and digital transformation.
• Cloud, AI, and Data Enablement: Expand the effective use of cloud-native technologies, AI-enabled capabilities, enterprise data, and intelligent automation to create business value.
• Technology Reliability and Risk Reduction: Maintain application security, performance, resiliency, data quality, and operational reliability while reducing technology and operational risk.
• Engineering Excellence and Capability Development: Strengthen software engineering practices, reusable technology capabilities, team collaboration, and developer knowledge through mentoring and continuous improvement., Business Solutions and Digital Transformation
• Partner with business leaders, product owners, architects, engineering teams, and other stakeholders to identify opportunities for process improvement, automation, and digital transformation.
• Translate business requirements and objectives into scalable, secure, and maintainable technology solutions.
• Design and deliver solutions that improve efficiency, reduce operational risk, and enhance customer and employee experiences.
• Support strategic initiatives through modern applications, integrations, and digital services.

Application, API, and Cloud Development

• Develop and maintain enterprise applications, APIs, integrations, and shared technology services supporting critical business functions.
• Design, develop, and support cloud-native solutions using Microsoft Azure.
• Build cloud-based solutions that promote scalability, resiliency, flexibility, security, and maintainability.
• Develop reusable components and services that accelerate solution delivery across the organization.
• Apply modern programming languages, software architecture, distributed systems, design patterns, service-oriented architecture, and event-driven development practices.

AI, Automation, Data, and Integration

• Design and implement AI-enabled capabilities that improve productivity, decision support, and business process automation.
• Integrate enterprise data sources, services, and platforms to support AI-driven applications, knowledge-based assistants, and digital assistants.
• Evaluate emerging technologies and identify opportunities to create business value through AI and automation.
• Develop enterprise data integration solutions, data pipelines, reporting solutions, and business intelligence support services.
• Support data modeling, database development, ETL/ELT processes, and data movement across relational and non-relational platforms.
• Promote timely, accurate, accessible, reliable, and high-performing information exchange across business-critical systems.

Technology Excellence, Security, and Operations

• Ensure solutions meet enterprise standards for security, performance, reliability, scalability, and maintainability.
• Apply application security, identity and access management, secure authentication, role-based authorization, and API security practices.
• Monitor application health, troubleshoot technical issues, and proactively improve system performance.
• Apply DevOps practices, version control, CI/CD automation, containerized deployment, automated testing, and application monitoring.
• Contribute to architecture decisions, technical roadmaps, cloud adoption, and technology modernization efforts.

Agile Delivery, Collaboration, and Technical Leadership

• Participate in Agile delivery teams and contribute to planning, estimation, testing, execution, and continuous improvement activities.
• Collaborate with business and technology stakeholders throughout solution design, development, implementation, and support.
• Mentor developers and share software engineering and technology best practices.
• Support a culture of collaboration, accountability, innovation, learning, and operational excellence.
• Perform other duties as assigned.

Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Software Engineering, Information Systems, or a related field required.

• Minimum of 7 years of experience designing, developing, implementing, and supporting enterprise applications required.
• Proficiency in modern programming languages and technologies, including C#, .NET, JavaScript, PowerShell, and Python.
• Demonstrated experience with distributed systems, service-oriented architecture (SOA), event-driven solution development, and secure API design and integration, including REST services, OAuth/JWT authentication, and API documentation tools such as OpenAPI and Swagger.
• Strong understanding of software architecture, design patterns, scalability, performance, and security best practices.
• Experience developing and supporting enterprise application integrations using SOAP services, XML-based data exchange, and related messaging technologies.
• Experience designing, developing, and supporting cloud-native solutions on Microsoft Azure, including serverless computing, API management, messaging, data storage, application monitoring, and secure secrets management.
• Proficiency in using Microsoft AI platforms and services to develop intelligent applications, knowledge-based assistants, and AI-driven automation solutions through modern retrieval, orchestration, and machine learning integration patterns.
• Experience designing, developing, and supporting enterprise data integration solutions, including data modeling, database development, ETL/ELT processes, and data movement across relational and non-relational data platforms.
• Proficiency in DevOps practices, version control systems, CI/CD automation, containerized application deployment, automated testing, and Agile/Scrum delivery frameworks.
• Strong understanding of application security principles, identity and access management, secure authentication protocols, role-based authorization models, and enterprise API security best practices.