Staff Software Engineer

  • $140k-$190k
  • Remote - United States

Remote

Software Development

Mid-level

Summary

Join Swish Analytics as a Staff Software Engineer to lead and own the development of various business essential products in a fast-paced environment. The team is looking for qualified individuals with technical leadership experience, creative problem-solving skills, and strong communication abilities.

Requirements

  • 8+ years of production software engineering and technical leadership experience
  • A creative mind for solving technically difficult problems in both standard and non-standard ways
  • Hands-on production experience with languages like NodeJS & Python
  • Hands-on production experience with databases, both relational and non-relational
  • Passionate about reliability, high availability, automation, observability, coding standards, and global scale
  • Strong communication skills working with technical and non-technical stakeholders
  • You have a BS or higher in CS/CE/SE or relevant experience

Responsibilities

  • Be the technical lead and owner for key products of our core backend applications
  • Perform code reviews and provide constructive feedback
  • Find optimizations in current applications, implement best practices, and ensure adherence to coding standards
  • Design and enhance both new and existing services
  • Work with globally distributed data
  • Participate in discussions and create and review architectural diagrams
  • Have a deep understanding of high-traffic, client-facing APIs and networking topology

Preferred Qualifications

  • Production experience with software engineering at a global level
  • Interest or experience with GO
  • Production experience with stream-processing paradigms like Kafka
  • Production experience with Docker and Kubernetes
  • Familiarity with sports data
  • Production experience working with low latent globally distributed data
  • Production experience developing, deploying and maintaining critical business applications
  • Understanding of various observability platforms
  • Knowledge of CI/CD
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