Distributed Systems Engineer (Go)
Remote

Our client provides groundbreaking workforce intelligence by standardizing vast public employment records into a universal HR database. This innovative approach enables insights into workforce composition and trends for companies globally, attracting a diverse clientele that includes investors, corporate strategists, HR teams, and government entities.

We are seeking a seasoned Distributed Systems Engineer with a knack for optimization and experience handling large datasets. The ideal candidate will excel in writing compiled code to swiftly aggregate extensive datasets and will have a keen understanding of algorithmic time complexity. Your role will involve designing and implementing algorithms to optimize data aggregation and transformation, as well as applying powerful machine learning models. Proficiency with Oracle, Elastic Search, and Grafana is preferred for this position.

Requirements: Proficient in Go, preferably in Platform / Systems / Kernel or Networking domain Strong fundamentals in data structures, algorithms, and distributed systems design Strong background in Systems Programming Expertise in debugging and troubleshooting performance and system-level issues Knowledge of novel data storage formats and filesystems is a plus Experience with Oracle, Elastic Search, and Grafana
Responsibilities: Design and implement algorithms for efficient data aggregation and transformation Optimize and manage large datasets to ensure low latency and high performance Apply machine learning models to enhance data analysis Collaborate with a team of PhD data scientists and engineers Troubleshoot and resolve system-level performance issues
Our client offers a competitive salary range of $150,000 - $190,000 per year, depending on location and experience. Additional benefits include participation in the company’s equity program, medical, dental, vision, and retirement plans. The company values diverse profiles and is open to candidates with varying levels of experience.