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Datacurve

Backend Engineer

Reposted 5 Days Ago
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

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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