Senior Backend Engineer, Data Pipelines (Remote, Equity)

Wynd Labs; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Equity package

Fully remote work

Job summary

Wynd Labs is seeking a Senior Backend Engineer to design and build scalable data pipeline infrastructure for real-time and batch processing. You will join a small, high-performing team to drive technical excellence across backend systems and contribute to Grass’s web-scale crawler infrastructure.

The role emphasizes designing, troubleshooting, and optimizing complex live software systems, with hands-on work in Golang, Python, Redis Clusters, and Kubernetes.

Qualifications

• 7+ years of software development experience with high-quality code.
• Bachelor’s or Master’s degree in a STEM field or equivalent experience.
• Strong experience building and scaling large distributed systems.
• Deep expertise in designing and troubleshooting live software systems.
• Hands-on experience with CI/CD and modern development practices.
• Excellent English communication skills.

Responsibilities

• Design, build, and optimize scalable data pipeline infrastructure for real-time and batch processing.
• Develop new backend features with reliability and performance focus.
• Write clear, well-tested, and well-documented code.
• Create and review technical designs, code, and documentation to maintain high standards.
• Contribute to Wynd’s infrastructure across mobile, desktop, and server-side systems.

Skills

7+ years experience

Distributed systems

Backend development

CI/CD

Golang

Python

Kubernetes

English proficiency

Education

Bachelor’s or Master’s degree in STEM

Tools

Redis Clusters

Kubernetes

Job description

Wynd Labs is seeking a Senior Backend Engineer to design and build scalable data pipeline infrastructure for real-time and batch processing. You will join a small, high-performing team to drive technical excellence across backend systems and contribute to Grass’s web-scale crawler infrastructure.

The role emphasizes designing, troubleshooting, and optimizing complex live software systems, with hands-on work in Golang, Python, Redis Clusters, and Kubernetes.