Senior Engineer - Workforce Tools & Integrations

About the role

The Workforce Tools & Integration team builds cloud , AI, and automation platforms that power how College Board staff work-modernizing service management, streamlining operations, and improving the speed and reliability of technology delivery for millions of students and thousands of schools we serve. We work across Product DevOps, Security, Network Engineering, and Infrastructure to design secure, scalable solutions using tools like Jira Service Management, Atlassian Cloud, Slack, Okta, GitHub, and emerging AI capabilities such as OpenAI and Gemini. As a collaborative team, we swarm on complex challenges, go deep when needed, and continuously learn and innovate together, united by a commitment to delivering tools that help our workforce-and ultimately our students-thrive. As a Senior Engineer on the Workforce Tools & Integration team, you will play a key hands-on role in designing and delivering the workforce platforms, integrations, and AI-powered solutions that shape the daily experience of College Board staff. You will apply deep cloud engineering expertise and strong AI fluency to translate complex business needs into scalable, secure solutions. This role focuses on architecting and building event-driven cloud services, intelligent automations , and integrations across our ecosystem of workforce tools. You will collaborate closely with engineers, product partners, and teams across Product DevOps, Security, Network Engineering, and Infrastructure, contributing to architectural decisions, elevating engineering standards, and helping the team tackle complex challenges efficiently. Through your work, you will help modernize how our workforce operates , enabling faster delivery, improved reliability, and meaningful operational impact in support of College Board's mission. In this role, you will: Design & Implementation ( 6 0 %) Design and implement high-quality software using the latest technologies with a focus on building component-based, cost-effective, scalable, and secure solutions using design patterns to improve collaboration with other microservices/apps and promoting code reuse Maintain the highest engineering standards in collaboration with product owners, architects, and stakeholders, in support of our systems and services Understand new product capabilities and decompose the implementation into specific functional changes for verification Build solutions using the best practices of Agile, CI/CD, and DevOps. Team Operations & Success ( 2 0 %) Participate in , or l ead Agile SCRUM ceremonies (Sprint Planning, Grooming, Daily SCRUM, Demo) and contribute to team deliverables . Participate and lead peer reviews of software engineering artifacts Assist in the resolution of production issues Adhere to development standards and security policies and procedures Adopt the continuous integration and continuous delivery (CI/CD) practice of rapidly implementing, testing, and delivering high-quality code based on the team's DevOps model Continuously develop the skills required to work as part of the Agile team in a poly-skilled development environment Software Solutioning & Design ( 20 %) Develop and maintain a thorough understanding of the customer's business processes and operations Work closely with Solutions Architect, Lead Engineer and Data Leads evaluating feature requests, providing level-of-effort estimates and contribute to sprint planning Conduct and participates in peer code and design reviews About you, you have : 5-8 years of production-level software development experience, owning the full lifecycle of features-from design and development to documentation and deployment-with demonstrated experience building and maintaining robust integrations with external APIs . Hands-on experience designing, deploying, and operating Model Context Protocol (MCP) servers in production settings. Practical experience with AI infrastructure, security, and system administration, including implementing guardrails, secrets management, and access controls for LLM-based systems. Proficiency in improving code structure and system architecture for testability, maintainability, and scalability, with hands-on experience in JavaScript/TypeScript, React, Node.js, and AWS Serverless technologies, including designing backend services that integrate securely with AI/ML or LLM platforms. Strong problem-solving and collaboration skills, working with engineers to diagnose and resolve complex issues and partnering with Product Owners to prioritize backlog, particularly for features involving AI-driven workflows or intelligent automations, with a demonstrated ability to rapidly learn new tools, frameworks, and emerging