Top Tech Jobs & Startup Jobs

The Technology L&D Specialist role focuses on advancing learning and development needs by collaborating with business stakeholders, designing technical curriculum, and delivering content using various learning tools. The position emphasizes continuous learning, skill gap analysis, and adaptation of emerging learning methodologies to enhance employee development.

As a Solution Architect, you will define strategic IT vision and lead technology choices in the Public Affairs and Local Solutions Delivery teams. Responsibilities include collaborating with senior leadership to understand business needs, developing solution designs and roadmaps, guiding organizational architecture practices, and mentoring software engineers to drive innovation in a fast-paced, agile environment.

The Gen AI Cloud Engineer will lead the implementation of AI frameworks and data solutions, focusing on developing scalable data pipelines and utilizing AWS services. The role involves collaborating with teams to turn data into insights, implementing best practices for data governance and security, and contributing to DevSecOps and CI/CD processes while providing training and guidance to colleagues.

As a Budget Analyst, you will manage budget development activities, conduct analyses, prepare reports, and communicate with stakeholders. Your role will involve troubleshooting budget issues, improving processes, and developing peers through knowledge sharing.

As a SaaS Technology Automation Engineer, you will provide technical support for SaaS tools and the supporting infrastructure, ensuring applications are available, reliable, scalable, and maintainable. Your role requires strong technical and interpersonal skills to navigate a fast-paced environment.

The Performance Tester will conduct end-to-end performance testing, including planning, execution, and reporting. Responsibilities include developing load test scenarios, collaborating with teams for testing infrastructure, evaluating system communication protocols, and integrating security testing into the pipeline. The role requires advanced programming knowledge and participation in code reviews while maintaining performance tests in management tools.

The Data Scientist will focus on developing, deploying, and improving data science products within the Data Utility Office, utilizing machine learning and AI to add value to internal Federal Reserve functions. Responsibilities include maintaining operational ML/AI, enhancing data models, and collaborating with teams to create new machine learning features.