• Design, develop, and maintain applications using InterSystems IRIS and ObjectScript. • Enhance and modernize VX130 data extraction and transformation processes. • Analyze VistA data structures, FileMan files, globals, and metadata. • Develop IRIS classes, APIs, utilities, and automation solutions. • Design and implement RESTful APIs and system integrations. • Troubleshoot application, database, and data processing issues. • Support IRIS Mirror, backup/recovery, and high-availability environments. • Optimize IRIS application and database performance. • Collaborate with architects, analysts, and technical stakeholders. • Participate in Agile ceremonies and development activities. • Conduct code reviews and promote development best practices. • Create and maintain technical documentation and design artifacts. • Work with InterSystems support to resolve complex technical issues. • Contribute to automation, CI/CD, and platform modernization initiatives. • Support production deployments, upgrades, and sustainment activities. • Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.

• Assist in managing the content operations roadmap and contribute to the completion of projects within the roadmap • Collaborate with teams to implement and maintain knowledge development processes and standards • Support various knowledge development projects and initiatives, ensuring their successful execution • Assist in monitoring and reporting on KPIs to evaluate knowledge effectiveness and sharing insights with the organization • Participate in identifying and implementing improvements in knowledge processes and technology

• Pipeline Development: Design and maintain robust ETL processes, with extensive work using AWS Glue, Python (PySpark) and SQL. • Data Analysis and Quality: Actively perform data analysis, identifying errors, anomalies, and potential issues before they impact the business. • Metrics Creation: Support the team in developing reliability and data-health metrics. • Advanced Observability: Implement and manage pipeline monitoring using tools such as Datadog or AWS CloudWatch, ensuring the stability, performance, and quality of our AI workloads.

• Assist the development team with day-to-day needs, such as validating tests, automating tasks, helping with deployments, and, of course, actively coding.