Jobs · Engineering · Connecticut

Software Engineer

Yuma · Stamford, CT · 2 mo ago
EngineeringFull-time

About the role

We’re looking for a Software Engineer to join our engineering team at Yuma. You’ll help design and scale the core systems that underpin our decentralized AI infrastructure and related products — from high-performance data pipelines to API services.

Responsibilities

  • Design, implement, and maintain scalable backend services and APIs.
  • Write clean, well-tested, and maintainable code.
  • Collaborate with cross-functional teams — including data, product, and infrastructure — to deliver high-quality features and systems.
  • Ensure software reliability through automated testing, CI/CD pipelines, and observability best practices.
  • Deploy and manage services in cloud environments
  • Optimize system performance, scalability, and maintainability.
  • Participate in code reviews, contribute to technical discussions, and help evolve our engineering culture and practices.
  • Support deployment, monitoring, and troubleshooting of live systems

Qualifications

  • Bachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent practical experience
  • 3–8 years of professional experience as a backend engineer.
  • Strong proficiency in at least one modern programming language (Python, Java, JavaScript, Rust or Go)
  • Solid understanding of APIs, databases, and backend architecture.
  • Experience deploying, monitoring, and scaling applications in cloud environments (GCP, AWS, or Azure).
  • Familiarity with CI/CD tools and automated testing frameworks.
  • Understanding of containerization and orchestration (Docker, Kubernetes).
  • Working knowledge of relational and/or NoSQL databases.
  • Excellent communication skills and a collaborative mindset.

Nice to have

  • Familiarity with blockchain or decentralized technologies, Polkadot, Parity, Substrate preferred)
  • Experience with AI/ML integrations or data-intensive systems
  • Exposure to containerization/orchestration tools such as Docker or Kubernetes
  • Prior experience in a startup or early-stage company

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