Чётко описанная стартовая backend-роль в продуктовой компании с современным стеком распределённых систем и упором на развитие; обязательная работа в офисе в Бостоне ограничивает выбор места.
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Текст:
Hirify AI/Оригинал
TL;DR
Software Engineer I (Backend, Growth) (Java/Kafka/Postgres/AWS): Building and maintaining backend services and APIs that power WHOOP’s member-facing features with an accent on scalable, reliable systems and meaningful performance insights. Focus on designing RESTful integrations, supporting distributed and event-driven systems, troubleshooting production issues, and delivering well-tested code in collaboration with product, design, and data science.
Location: Onsite in the WHOOP office in Boston, MA, United States; prepared to relocate if necessary to work from the Boston office.
Base salary: $105,000–$145,000 per year, plus benefits and equity.
Company
WHOOP develops a core product focused on delivering meaningful performance insights to its members.
What you will do
Develop and maintain backend services and RESTful APIs supporting member-facing features.
Build scalable and reliable systems using technologies such as Java, Kafka, Postgres, and AWS.
Translate product requirements into scoped technical solutions with Product, Design, Data Science, and Engineering partners.
Write clean, maintainable, well-tested code and participate in code reviews.
Monitor and troubleshoot production systems to improve reliability, scalability, and performance.
Break down features, identify risks, iterate quickly, and contribute to technical documentation and knowledge sharing.
Requirements
Professional backend software development experience; internships, co-ops, or academic project experience are acceptable.
Experience building or interacting with RESTful APIs and relational databases such as Postgres or similar SQL-based systems.
Proficiency in an object-oriented programming language such as Java, or demonstrated ability to learn backend technologies quickly.
Familiarity with Git and standard software development workflows.
Understanding of data structures, algorithms, and basic system design.
Interest in distributed systems, event-driven architectures such as Kafka, and cloud platforms such as AWS.
Strong problem-solving skills, a growth mindset, willingness to seek feedback, effective communication, and cross-functional collaboration skills.
Culture & Benefits
Growth-oriented engineering environment focused on learning, feedback, and continuous improvement.
Competitive base salary, meaningful equity, and benefits.
Equal opportunity employer participating in E-Verify for employment eligibility.
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