engineering
Posted 1 weeks agoBackend Engineer II
at HackerRank
Hybrid In Santa Clara, United StatesHybrid
Responsibilities
- Design, build, and maintain efficient, reusable, and reliable backend code to support new product features and enhancements.
- Develop and integrate RESTful or GraphQL APIs to serve front-end applications and external clients.
- Design and optimize database schemas (SQL and NoSQL) to ensure data integrity and query performance at scale.
- Collaborate with frontend developers, product managers, and designers to translate
- Troubleshoot production issues, identify bottlenecks, and drive performance optimizations across the application stack.
- Write comprehensive unit and integration tests to ensure high code quality and system stability. Who you are
Requirements
- Software has entered an era where humans and AI build side by side.
- Every day, millions of developers use HackerRank to prove their skills.
- experience in server-side software development.
- Proficient in at least one modern backend programming language (e.g., Python, Ruby, Go, Java, or Node.js).
- Deep understanding of API design principles (REST, GraphQL) and web standards. Strong
- experience with relational databases (PostgreSQL, MySQL) and familiarity with NoSQL stores.
- Knowledge of distributed systems, caching mechanisms (Redis/Memcached), and asynchronous messaging (Kafka/RabbitMQ).
- Familiarity with containerization (Docker) and basic CI/CD workflows. AI fluency
- Comfortable using AI-powered coding assistants (e.g., GitHub Copilot, Cursor, Claude Code) as a daily part of your development workflow.
- Working familiarity with large language models — you understand what they can and can't do, and can write effective prompts to get useful outputs. •
- Experience using AI tools beyond code generation — for planning, writing documentation, drafting test cases, debugging, and code review.
- Basic understanding of AI/ML fundamentals: how LLMs work at a high level (tokens, context windows, inference), common model architectures, and the difference between fine-tuning, RAG, and prompt engineering.
- You stay current with the rapidly evolving AI tooling landscape and are eager to adopt tools that meaningfully improve your productivity. Even better if you have •