Experienced Backend Engineer
Location: San Francisco (Flexible/Hybrid)
Introduction:
We are seeking an Experienced Backend Engineer to join a dynamic startup at the forefront of data-centric AI. Our company, a leading innovator in this field, is driven by a mission to enhance data quality for AI models. If you are an engineer with a robust background in software development and data infrastructure, and you are looking to contribute to cutting-edge technology, this role might be perfect for you.
About the Company:
Our organization, founded by MIT PhDs with a track record from prominent tech giants, is focused on solving critical data quality issues in machine learning. We offer a modern and evolving tech stack, providing tools and solutions that help data scientists and engineers improve their datasets. Join us to work on novel software systems and cutting-edge MLOps technology, and be part of a team that is reshaping how data is prepared for AI training.
About the Role:
As an Experienced Backend Engineer, you will be at the core of our technical team, responsible for designing, implementing, and optimizing scalable infrastructure to support our data processing needs. Your role will involve engineering a high-throughput data platform and orchestrating workloads across large clusters. You will work closely with our data research and data crawling teams to ensure our infrastructure meets the demands of petabyte-scale data processing.
What We Offer You:
- Annual Travel Stipend: Work from various global locations to enhance cultural empathy and team cohesion.
- Premium Health Insurance: Comprehensive coverage with options for dental and vision care.
- Professional Development Stipend: Keep up with the latest innovations in ML and software.
- Competitive Salary: Ranges from $180,000 to $250,000, with regular opportunities for raises and equity offerings for certain roles.
Key Responsibilities:
- Design and build scalable infrastructure for high-throughput data processing and AI training.
- Optimize distributed systems and manage data ingestion, processing, and query pipelines.
- Lead technical architectural decisions and provide mentorship to other engineers.
- Identify and address performance, reliability, cost efficiency, and security issues.
- Collaborate with product, sales, and marketing teams to streamline operations and deliver solutions.
Keywords: You will leverage your experience with distributed systems , data platforms , and cloud services to drive improvements in our data infrastructure. Your proficiency in Kubernetes , containerization , and high-performance programming languages such as Go , Rust , or C++ will be essential for success in this role.
We are looking for candidates with:
- At least 6 years of experience in software development and data-intensive applications.
- Proficiency in cloud services (AWS, GCP) and containerization technologies.
- Strong background in building and maintaining data infrastructure for ML.
- Excellent technical leadership skills and experience in cross-team initiatives.
If you are an experienced backend engineer eager to tackle challenges in data processing and infrastructure, apply now to join our innovative team.