Senior Software Engineer (Backend)
Software Development
Excel
WFA Digital Insight
Wynd Labs is looking for a senior backend engineer who will sit at the heart of a data‑centric operation that powers a massive web‑scale crawler. The role isn’t a generic backend job; it demands deep experience in designing pipelines that handle both real‑time and batch workloads for billions of public‑domain media assets. Candidates will be joining a lean, technically‑driven squad that values fast iteration over bureaucracy, and they’ll be expected to own end‑to‑end system reliability while contributing to a broader infrastructure that spans mobile, desktop, and server environments. Expect a focus on clean, well‑tested code, architecture reviews, and continuous delivery practices, all while collaborating with a team that prizes low ego and high output.
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.
- 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.
- 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.
- Compensation. You’ll receive a competitive salary, benefits and equity package.
How to Stand Out
- Highlight concrete examples of data‑pipeline projects you’ve built, especially those using Golang, Python, or Kubernetes.
- Include a brief description of any large‑scale crawling or streaming systems you’ve maintained in your resume.
- Prepare to discuss specific performance bottlenecks you identified and how you resolved them during the interview.
- Share a short code sample or GitHub repo that demonstrates clean, well‑tested backend code and CI/CD integration.
- Emphasize remote‑work discipline: showcase your communication tools, time‑zone coordination, and self‑management strategies.
- When negotiating, ask about the equity component and remote‑work stipend to gauge the total compensation package.
- Watch for vague references to “high‑output culture” without concrete examples; ask how success is measured and what support is provided for engineers.
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