Senior Software Engineer (Backend)
Wynd Labs
full-remoteseniorpermanentbackend United States 11 days ago via LinkedIn
See how well this job matches your profile
Sign up to get an AI match score and generate a tailored application in seconds.
Get your match scoreTags
GolangPythonRedis ClustersKubernetesData PipelinesDistributed SystemsCI/CDSystem PerformanceReal-time ProcessingBatch Processing
About the role
Role Overview
Senior Backend Engineer focused on data pipeline infrastructure for real-time and batch processing. Join a small, high-performing team to design scalable systems, drive technical excellence, and improve the backend capabilities powering Wynd’s distributed crawler and data pipelines.
Responsibilities
- Design, build, and optimize scalable data pipeline infrastructure for real-time and batch data processing
- Develop backend features and system improvements with a focus on reliability and performance
- Write clear, well-tested, well-documented code
- Create and review technical designs, code, and documentation to maintain high engineering standards
- Contribute to Wynd’s infrastructure across mobile, desktop, and server-side systems
Requirements
- 7+ years of software development experience; strong record of maintainable, robust code
- STEM bachelor’s or master’s degree, or equivalent practical experience
- Proven experience building and scaling large distributed systems
- Deep expertise in designing, troubleshooting, and optimizing complex live systems
- Hands-on experience with CI/CD and modern development practices
- Strong analytical/problem-solving skills, especially diagnosing data flow and system performance issues
- Professional or native English proficiency
Nice to Have
- Not explicitly stated
Tech Stack (Provided)
- Golang
- Python
- Redis Clusters
- Kubernetes
About Wynd Labs
Wynd Labs builds infrastructure to deliver large-scale web data for companies training advanced AI models. It powers Grass, a bandwidth-sharing network that supports a distributed web crawler, and it also creates data pipelines to ingest, segment, and annotate vast media datasets for dataset creation.
Scraped 7/15/2026