Backend Engineer II — Scalable APIs & Systems

HackerRank

Santa Clara (CA)

Hybrid

USD 150,000 - 172,000

Full time

14 days+

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Benefits offered by this job

Equity (stock options)
Cash and non-cash benefits

Job summary

HackerRank is seeking a Backend Software Development Engineer who thrives on solving complex architectural problems and delivering high-impact features. You will own server-side logic, database architecture, and integration with front-end elements, ensuring fast, reliable, and scalable operations as our user base grows.

Responsibilities include building robust backend code, designing RESTful or GraphQL APIs, and optimizing databases.

Qualifications

  • Backend engineer with 2+ years of server-side development experience.
  • Proficient in at least one modern backend language (Python, Ruby, Go, Java, Node.js).
  • Knowledge of REST and GraphQL API design principles and web standards.

Responsibilities

  • Design, build, and maintain backend code for new product features.
  • Develop and integrate RESTful or GraphQL APIs for front-end and external clients.
  • Design and optimize SQL/NoSQL database schemas for data integrity and performance.
  • Collaborate with frontend, product, and design teams to translate requirements into solutions.
  • Troubleshoot production issues and drive performance improvements.
  • Write unit and integration tests to ensure code quality and stability.

Skills

Backend development
API design
Relational DBs
Distributed systems
Caching
CI/CD
Docker
Messaging systems

Tools

PostgreSQL
MySQL
Redis
Memcached
Kafka/RabbitMQ
REST/GraphQL

Job description

HackerRank is seeking a Backend Software Development Engineer who thrives on solving complex architectural problems and delivering high-impact features. You will own server-side logic, database architecture, and integration with front-end elements, ensuring fast, reliable, and scalable operations as our user base grows.

Responsibilities include building robust backend code, designing RESTful or GraphQL APIs, and optimizing databases.

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