Remote Staff Software Engineer
Swish Analytics
π΅ $140k-$190k
πRemote - United States
Please let Swish Analytics know you found this job on JobsCollider. Thanks! π
Job highlights
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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