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Datacurve

Backend Engineer

Reposted Yesterday
In-Office
San Francisco, CA, USA
Mid level
In-Office
San Francisco, CA, USA
Mid level
As a Backend Engineer, you will lead discussions, architect infrastructure, optimize performance, and establish best practices for backend systems.
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We’re building a gamified developer platform empowering tens of thousands of coders to compete in exciting software engineering challenges – all while pushing the frontier of LLMs!

As a Backend Engineer, you'll become part of a passionate, fast moving team dedicated to solving challenging technical problems, designing engaging gamification experiences, and shaping the foundations to support the collective effort of developers worldwide.

What You’ll Do
  • Lead technical discussions, guide architectural decisions, and identify opportunities for improvement across backend systems

  • Architect robust infrastructure to efficiently handle high volumes of user interactions, data processing, and real-time competition data

  • Collaborate closely with frontend engineers and product managers to deliver seamless user experiences

  • Optimize backend performance, reliability, and scalability to support rapid growth and evolving product requirements

  • Establish backend engineering best practices, including code quality, testing, observability, and documentation

What You Have
  • 3+ years of experience designing, building, and maintaining scalable backend systems and APIs

  • Solid understanding of distributed systems, asynchronous processing, and event-driven architectures

  • Experience designing APIs and backend services using Go

  • Familiarity with cloud infrastructure and services on AWS

  • Proficiency with IaaC tools (e.g., Terraform) and CI/CD pipelines

  • Expertise designing relational database schemas, optimizing SQL queries, and managing database performance and integrity

  • Excellent collaboration and proactive communication skills

Nice to Haves
  • Experience with Kubernetes and orchestration of containerized applications

  • Knowledge of observability and monitoring tools (e.g., Prometheus, Grafana)

  • Experience designing and scaling data pipelines to handle large volumes of data efficiently

  • Worked with secure code execution environments and sandboxing techniques

  • Interest or experience in gamification or developer-focused platforms

HQ

Datacurve San Francisco, California, USA Office

San Francisco, CA, United States

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