3 дня назад
Software Engineer
135 000 - 159 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer (TypeScript/Go/Python/React): Building medium-to-high complexity features for an agentic Data Marketplace with an accent on API development, system integration, scalability, and maintainability. Focus on designing interfaces for human users and AI agents, resolving system bottlenecks, and implementing high-coverage unit and integration testing.
Location: Hybrid in San Francisco or New York, United States
Annual base compensation: $135,000–$159,000
Company
develops a data collaboration network for brands, retailers, financial services providers, and healthcare innovators, supporting marketing AI and customer insights.
What you will do
- Implement medium-to-high complexity features for an agentic Data Marketplace.
- Design and build efficient, scalable, and maintainable platform capabilities.
- Identify bottlenecks, manage dependencies, and resolve technical hurdles with senior engineers.
- Review product specifications, participate in design reviews, and translate requirements into technical solutions.
- Conduct peer code reviews and develop high-coverage unit and integration tests.
- Document system interactions, share engineering practices, and communicate progress with cross-functional partners.
Requirements
- About 3 years of hands-on software development experience in Agile/Scrum environments.
- Strong API development and system integration experience.
- Full-stack proficiency with TypeScript, Go, Python, and React.
- Familiarity with Redis and Sidekiq for background tasks and concurrency.
- Experience implementing integration tests and improving code maintainability.
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience.
Culture & Benefits
- Collaborative work with senior engineers, Product, Infrastructure, and QA partners.
- Hybrid work arrangement in San Francisco or New York.
- Opportunities to contribute to technical discussions, documentation, retrospectives, and troubleshooting.
- Compensation is determined by experience, skills, geography, and internal equity.
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