Senior Software Engineer, ML Data Platform

🕒 May 15

🚗 Michigan – Remote

🚗 Michigan – Remote

💵 $216.4k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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General Motors

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1908

🚗 Transport

⚡ Energy

🏢 Enterprise

💰 $500M Grant on 2024-07

Transport • Energy • Enterprise

General Motors is a leading multinational corporation in the automotive industry, committed to creating a future with zero crashes, zero emissions, and zero congestion. With operations and facilities worldwide, GM focuses on innovation across various areas including engineering, manufacturing, and information technology. The company emphasizes diversity, inclusion, and the development of sustainable technologies to shape the future of mobility.

📋 Description

• Develop fast, robust, and spike-resistant data consumption, data mining, and processing tools for the entire company • Develop orchestration for large-scale post-processing, and computational pipelines • Participate in the development, optimization and productionization of the next generation data processing platform using Beam and Spark in the cloud • Build self-serve capabilities to help customers to adopt the next generation data processing platform • Use the latest cloud technologies to own, design, implement, and test scalable distributed data systems in the cloud • Champion engineering excellence by continuously improving systems and processes • Own technical projects from start to finish, contribute to the team’s product roadmap, and be responsible for major technical decisions and tradeoffs • Effectively participate in team’s planning, code reviews and design discussions • Conduct technical interviews with well-calibrated standards and play an essential role in recruiting activities.

🎯 Requirements

• Bachelor's degree in Computer Science, Electronic Engineering, Management Information Systems, or related field of study • Five (5) years of experience as a Software Engineer, Programmer Analyst, or related occupation • Building Peta Byte (PB) scale data management systems • Optimizing those data processing clusters for cost efficiency and performance • Building serving systems capable of delivering data at high-throughput, low-latency and high QPS (Queries Per Second) in a cost-efficient and spike-resilient manner • Building scalable infrastructure on the cloud with Python, Java, or Scala • Writing SQL queries for analytic purposes.

🏖️ Benefits

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.