The College Board is a mission-driven, not-for-profit organization dedicated to helping students navigate their educational paths. They are seeking a Senior Software Engineer for the Secure Client Engineering team, responsible for designing and building security protections for the Bluebook digital assessment application across various operating systems. This role involves collaboration with a skilled team to tackle complex security challenges and develop robust software solutions.
Responsibilities:
- Collaborate daily with other engineers on the team using mob programming to solve complex technical problems through software engineering
- Maintain the highest engineering standards in collaboration across teams with product owners, architects, and stakeholders, in support of our systems and services
- Use your deep understanding of the applications within the Digital Assessment Platform to design and implement novel solutions to security challenges in desktop and mobile applications, across Windows, MacOS, iOS, and ChromeOS
- Write code for both native and web environments, building component-based, performant, stable, and secure solutions with a focus on lower-level code that interfaces with the native operating system
- Understand new product requirements and decompose the implementation into specific functional changes for verification
- Drive continuous improvement of the team’s engineering practices, efficiency, speed, and quality
- Participate in conversations and offer opinions on proposed architecture, testing strategies, developer experience, security, performance, and resilience
- Conduct and participate in peer code and design reviews
- Assist in the resolution of production issues
- Adhere to development standards and security policies and procedures
- Adopt AI-augmented and agentic software engineering practices for rapidly implementing, testing, and delivering high-quality code based within the team’s collaborative engineering model
- Continuously develop the skills required to work in a poly-skilled, and increasingly AI-native, software engineering environment
- Experiment with new methods or tools in a post-agile environment to improve the processes of the team
Requirements:
- 6+ years of production level software development experience managing the entire lifecycle of features, including design, development, documentation, and deployment
- Demonstrated software engineering experience using a variety of languages
- Experience with platform native software development that interfaces with lower-level operating system APIs
- Proficiency in reviewing and improving code structure and architecture for testability, maintainability, and scalability, with hands-on experience in multiple languages and frameworks such as JavaScript/TypeScript, React, Node.js, C++, and Swift
- A love of learning and a growth mindset. Software engineering is your craft, not just your job
- Strong problem-solving skills, working collaboratively with team members to develop solutions for non-trivial security challenges, and partnering with Product Owners to prioritize backlog
- Strong technical research skills as it pertains to quickly building a working understanding of large open source repositories, as well as undocumented and closed source systems, to support solution design that extends beyond what may be publicly available for a given problem
- Experience establishing software engineering standards and performing code and design reviews
- Proven ability to pitch new ideas and implement improved systems and processes, delivering excellent results
- Effective communicator and team lead, able to provide actionable feedback, mentor team members, and participate in interviews to evaluate engineering talent
- Ability to travel 3-5 times a year to our NYC or Reston, VA office
- Authorization to work in the United States
- Experience developing anti-cheat controls in video game or similar software
- Experience developing native client applications on Windows and/or MacOS
- Comfort with low-level debugging, reviewing assembly, understanding of the low-level components of native development