The College Board
The College Board
The College Board ir uz misiju vērsta bezpeļņas organizācija, kas darbojas, lai veicinātu izglītības pieejamību, izcilību un vienlīdzību. Tās darbs palīdz skolēniem sagatavoties augstākajai izglītībai, attīstīt būtiskas prasmes un atrast ceļus uz studiju iespējām, vienlaikus risinot šķēršļus, kas var ierobežot piekļuvi izglītībai. Komandas, kas strādā vairākās Amerikas Savienoto Valstu vietās, apvieno izglītības jomas profesionāļus, kuriem svarīga ir sadarbība, iekļaušana un cieņa. Organizācija arī modernizē savu darbību un stiprina digitālo klātbūtni, lai labāk atbalstītu skolēnus un ģimenes visā valstī.

Lead Full Stack Engineer, AWS

Lead cloud and full-stack engineering for The College Board’s SAT, PSAT, and AP assessment systems. Shape technical direction, build scalable services, and mentor engineers.

Apraksts

  • Design, build, test, and deploy backend solutions on AWS.
  • Develop scalable REST APIs, microservices, data pipelines, and event-driven applications with Node.js, TypeScript, and serverless technologies.
  • Turn data insights into practical recommendations and technical decisions with business and engineering partners.
  • Develop and review requirements, data mappings, user stories, and related artifacts.
  • Troubleshoot production issues and identify their root causes.
  • Monitor production releases and provide troubleshooting outside regular business hours when required.
  • Support functional testing by checking data accuracy, system behavior, and process integrity.
  • Establish engineering standards and practices for design patterns, unit testing, and code review.
  • Lead technically by coaching and mentoring junior engineers and setting direction.
  • Shape technical choices and promote engineering practices across the team and with partners.
  • Produce design specifications, flow diagrams, reference implementations, code templates, runbooks, and user stories.
  • Divide complex features into manageable tasks and review junior engineers’ work.
  • Coordinate with the manager, product team, and Psychometrics stakeholders on roadmaps, estimates, and delivery plans.
  • Apply AI-assisted development tools responsibly for design, coding, testing, and documentation.

Prasības

  • At least seven years of software development in production environments, including technical design and delivery leadership.
  • Three to four years building solutions with AWS services such as Lambda, S3, Step Functions, DynamoDB, SNS, SQS, and CloudWatch.
  • Strong backend development skills in JavaScript/Node.js and TypeScript.
  • Experience with CI/CD and NoSQL data stores.
  • Infrastructure-as-code experience; AWS CDK is an advantage.
  • Demonstrated ability to lead and mentor engineers and set technical direction.
  • Ability to influence and align engineers and partners without formal authority.
  • Able to analyze, plan, design, and take ownership of loosely defined issues with little supervision.
  • Strong analytical and problem-solving abilities.
  • Excellent communication and collaboration skills.
  • Knowledge of Agile methods and DevOps practices.
  • Familiarity with Test-Driven Development, Behavior-Driven Development, and Documentation as Code.
  • Practical experience with AI coding assistants and assessing their generated output.
  • Assessment or education technology systems experience is a strong advantage.
  • Strong organizational skills and interest in Developer Experience and User Experience concepts.
  • Bachelor’s degree in computer science, computer engineering, software engineering, or equivalent.
  • Authorized to work in the United States for any employer.
  • Clear, concise written and spoken communication.
  • Curiosity about and enthusiasm for emerging technologies.
  • A learning mindset and commitment to growth.
  • Collaborative and empathetic working style.

Priekšrocības

  • Fully remote work option.
  • Hybrid option for candidates near College Board offices, with in-office days on Tuesday and Wednesday.
  • Fair, competitive compensation.
  • A supportive team.
  • Comprehensive benefits package.
  • Transparent discussions about compensation and benefits.
  • Opportunities to work with emerging technologies and AI-driven solutions.
  • Mentoring and professional development through feedback and ongoing learning.

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