Senior Software Engineer (Backend)

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

Who We Are:

We build infrastructure that delivers massive amounts of web data to the companies training the world’s most powerful AI models.

We’re the team that helps to power and support Grass, a bandwidth-sharing network that lets us operate a massive distributed crawler, giving us unique access to high-quality public web data at global scale. On top of that, we’ve built pipelines for ingesting, segmenting, and annotating billions of videos, transcripts, and audio files, powering dataset creation for frontier labs.

We’re lean, technical, and move fast. No red tape, no slow decision-making; just a team of builders pushing to expand what’s possible for open web data and AI.

The Role.

We are seeking a Senior Backend Engineer with deep expertise in backend development, particularly in data pipeline infrastructure. In this role, you will join a small, high-performing team to design and architect scalable systems, drive technical excellence, and help advance Grass’s role in shaping the future of the internet.

Who You Are.

• 7+ years of experience in software development, with a track record of writing high-quality, maintainable, and robust code.
• Bachelor’s or Master’s degree in a STEM field, or equivalent practical experience.
• Strong experience building and scaling large, distributed systems.
• Deep expertise in designing, troubleshooting, and optimizing complex, live software systems.
• Hands‑on experience with modern development practices, including continuous integration and continuous deployment.
• Strong analytical and problem‑solving skills, particularly in diagnosing and resolving data flow and system performance issues.
• Professional or native English proficiency.

What You’ll Be Doing.

• Design, build, and optimize scalable data pipeline infrastructure for real‑time and batch data processing.
• Develop new backend features and system improvements with a focus on reliability and performance.
• Write clear, well‑tested, and 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.

Technologies Used.

• Golang, Python, Redis Clusters, Kubernetes.

Why Work With Us:

• Opportunity. We are at the forefront of developing a web‑scale crawler and knowledge graph that improves access to public web data and extends the value of AI to the people.
• Culture. We’re a lean team with a high bar. We come to work not to be comfortable, but to find out what we’re capable of and to do work that matters. We’re not calling for people who keep things moving. We’re calling for people who make everyone around them better.
  We prioritize low ego and high output. This is a fully remote team.
• Compensation. You’ll receive a competitive salary, benefits and equity package.