As a Senior Full Stack Engineer , candidate will be responsible for complex software development including coding, managing small sections of ongoing projects and closely adhering to deadlines. Candidate will also take responsibility for creating design specifications, unit testing, and preparing technical documentation. Candidate will ensure relationships with customers and cross-team members and are professional and meet expectations.
The College Board – a not-for-profit membership organization dedicated to providing excellence and equity in education – manages a complex and comprehensive suite of data systems, data feeds and reports to support students and educators across multiple assessments, programs and services. Working within the Information Technology division and across the Operations and key business units, the Senior Full Stack Engineer will analyze procedures, and design and implement solutions to attain high data quality and process automation. The Senior Full Stack Engineer will design, develop and implement solutions, based on a set of standards and processes which establish consistency across the enterprise data, reduce risk, and promote efficiencies in support of the organization’s goals and objectives.
The ideal candidate will have designed, developed and implemented serverless software solutions in support of data quality and automation. The candidate will also possess technical skills and experience in the data management domain that will help their ability to design and develop elegant and efficient data processes and systems.
Required Skills:
Minimum 7 years of professional software development experience
Strong hands-on experience building full-stack applications with Node.js and React.js in a cloud environment
Deep working knowledge of AWS serverless architecture (Lambda, S3, DynamoDB, SNS/SQS, Kinesis, RDS)
Experience with both relational and NoSQL databases
Design and development experience building and monitoring microservices
Hands-on CI/CD experience (Jenkins or AWS CodePipeline)
Strong fundamentals in OO design and computer science principles
Working knowledge of distributed architectural design patterns
Knowledge of systems analysis/design (OOAD, UML) and database design
Solid grasp of SDLC and modern software engineering practices
Preferred Skills:
Experience with event-driven architecture and stream processing patterns
Exposure to agentic AI / LLM-based tooling (e.g., Claude, Copilot, LangChain, or similar) for development acceleration or automation
Experience with infrastructure as code (AWS CloudFormation, CDK, or similar)
Fluency with KMS, ALB/ELB, Route 53, VPC
Experience with GitHub-based CI/CD workflows
Background in high-frequency data monitoring or tooling
Agile/Scrum team experience with a collaborative, team-first mindset
Additional language exposure (Java, Python) is a bonus, not a substitute for React/Node depth
Relevant AWS or professional certifications