Software Engineer, Secure Client Engineering., Platformization

College Board

13d•$128,000 - $139,000•Remote

About The Position

As a Software Engineer on Secure Client Engineering, you will help protect the integrity of Bluebook, the application students rely on for digital assessments across Windows, macOS, iPad, and ChromeOS. This is a hands-on role for an engineer who enjoys solving hard technical problems, writing production code, and working at the intersection of software engineering and security. You will collaborate with a small, highly skilled team to design and build resilient client-side protections, tackle unfamiliar challenges with curiosity and confidence, and contribute across the full software development lifecycle. If you are motivated by meaningful mission-driven work, deep technical problems, and the opportunity to shape how secure software is built, this role offers the chance to make a real impact.

Requirements

2+ years of production level software development experience managing the entire lifecycle of features, including design, development, documentation, and deployment.
Demonstrated software engineering experience using one or more languages.
Strong problem-solving skills, working collaboratively with team members to develop solutions for non-trivial security challenges.
Experience in debugging and fixing issues in development, testing, and production environments.
Strong strategic thinking and problem-solving skills, with the ability to identify and diagnose issues and develop solutions.
Ability to ask the right questions to understand needs and drive solution development.
Demonstrated ability to develop strategies to guide daily work.
Commitment to learning and growth, turning failures into learning opportunities, and seeking expertise from others.
Ability to travel 2-3 times a year to our NYC or Reston, VA office
A passion for expanding educational and career opportunities and mission-driven work
Curiosity and enthusiasm for emerging technologies, with a willingness to experiment with and adopt new AI-driven solutions and comfort with learning and applying new digital tools independently and proactively.
Clear and concise communication skills, written and verbal
A learner's mindset and a commitment to growth: welcoming diverse perspectives, giving and receiving timely, respectful feedback, and continuously improving through iterative learning and user input.
A drive for impact and excellence: solving complex problems, making data-informed decisions, prioritizing what matters most, and continuously improving through learning, user input, and external benchmarking.
A collaborative and empathetic approach: working across differences, fostering trust, and contributing to a culture of shared success
Authorization to work in the United States

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.
Develop 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 operation system.
Understand new product requirements and decompose the implementation into specific functional changes for verification.
Participate in 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.