Coordinated multiple development work streams, ensuring the architecture remained scalable and extensible. Defined, maintained, and supported the development environment and established best practices. Identified, isolated, resolved, and communicated issues within both production and non-production environments, performing necessary troubleshooting. Facilitated the migration of existing APIs to Kubernetes/Azure. Conducted code reviews, unit testing, and integration testing using Open Source frameworks. Provided mentorship and guidance to junior team members.

Created innovative technical solutions for ongoing development efforts. Designed applications and subsystems for major projects across multiple platforms. Developed applications for various projects supporting multiple divisional initiatives. Supported and performed all phases of testing up to implementation and assisted in planning and conducting user acceptance testing. Developed comprehensive documentation for numerous applications supporting various corporate initiatives. Managed post-installation testing and problem resolution. Tackled complex assignments, often across multiple phases of a project, and conducted independent, detailed technical and functional analyses for several initiatives.

Developed and implemented test plans and scripts for a company-wide application. Documented testing procedures and tracked issues and defects. Collaborated with IT leads to address and resolve these issues. Contributed to and refined the UAT process. Managed a team, coordinated workflow, and handled issue escalation and resolution with IT in the manager's absence.

Assist in executing software solutions, design, development, and technical troubleshooting to build solutions or break down technical problems. Developed secure production code and maintained algorithms that run synchronously with appropriate systems. Gathered, analyzed, synthesized, and developed visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems. Identified hidden problems and patterns in data and used these insights to drive improvements to coding hygiene and system architecture.