6 дней назад
Backend Engineer Intern
7 520$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Backend Engineer Intern (Backend): Developing and operating scalable distributed services for a high-traffic platform with an accent on backend system architecture and cloud infrastructure. Focus on building resilient services using AWS and integrating Generative AI tools to solve real-world engineering challenges.
Location: Must be based in or able to work in Palo Alto or Los Angeles, California (Hybrid)
Salary: $47 per hour
is a leading global platform for human connection, serving millions of users across 190+ countries.
What you will do
- Collaborate across the engineering organization on the expansion of the core service platform.
- Develop and operate scalable, resilient distributed services on AWS.
- Build large-scale systems capable of handling billions of daily data events.
- Write unit and integration tests to ensure system reliability.
- Apply cutting-edge Generative AI tools to improve feature development and engineering workflows.
Requirements
- Currently pursuing a BS/BA, MS, or PhD in Computer Science or a related field.
- Proficiency in at least one backend language (Java, Scala, Python, TypeScript, or Node).
- Solid foundational knowledge of computer science principles, data structures, and algorithms.
- Ability to work on-site 3 days per week in Palo Alto or Los Angeles.
- Curiosity and interest in applying Generative AI to software engineering.
Nice to have
- Prior internship or project experience working on backend systems.
- Experience with Protocol Buffers, gRPC, Kafka, Flink, ElasticSearch, or Redis.
- Familiarity with AWS services such as DynamoDB, S3, RDS, or ElastiCache.
- Participation in hackathons, open-source projects, or personal coding projects.
Culture & Benefits
- Inclusive environment that celebrates diversity and unique perspectives.
- Opportunity to work on a globally scaled application with massive data volume.
- Access to mentorship from senior engineering team members.
- Hands-on experience with production-grade distributed systems and Generative AI.
- Equal opportunity workplace dedicated to supporting professional growth.
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