EPITEC
Job Title:
Software Engineer III Contract Duration:
1 year, possible extension Location:
Burlingame, CA Work Arrangement:
Remote
Summary We are seeking a skilled and experienced engineer to join our team as a Distributed Systems Specialist. As a generalist with expertise in distributed systems, you will play a key role in designing, developing, and optimizing our data generation pipelines for maximum efficiency. Your experience with DAGs/Graphs, large fan-out loads, and distributed workers/jobs will be instrumental in helping us scale our systems to meet the growing demands of our users.
Responsibilities
Design, develop, and optimize data processing pipelines using DAGs/Graphs and distributed workers/jobs Collaborate with cross-functional teams to identify and prioritize system improvements Develop and implement solutions to handle large fan-out loads and ensure system scalability Work closely with data scientists and engineers to integrate and scale solutions Identify opportunities for optimization and implement changes to improve system performance and reduce resource utilization Requirements
5+ years of experience in software development, with a focus on distributed systems Experience with large fan-out loads and distributed workers/jobs Proficiency in at least one of the following programming languages:
Python (primary language) Rust C++ Hack (PHP)
Experience with cloud-based infrastructure, such as AWS or GCP Strong problem-solving skills and ability to work independently Excellent communication and collaboration skills Bachelors with tech field related Must Have Skills
Experience running compute clusters or building data infrastructure Proficiency in at least one of the following programming languages: Python (ideally), Rust, C++, Hack (PHP) Experience with cloud-based infrastructure such as AWS or GC Nice to Have Skills
Experience with companies using large data scales Experience with Digital Content Creation (DCC) tools such as blender Experience with machine learning frameworks, such as TensorFlow or PyTorch
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Software Engineer III Contract Duration:
1 year, possible extension Location:
Burlingame, CA Work Arrangement:
Remote
Summary We are seeking a skilled and experienced engineer to join our team as a Distributed Systems Specialist. As a generalist with expertise in distributed systems, you will play a key role in designing, developing, and optimizing our data generation pipelines for maximum efficiency. Your experience with DAGs/Graphs, large fan-out loads, and distributed workers/jobs will be instrumental in helping us scale our systems to meet the growing demands of our users.
Responsibilities
Design, develop, and optimize data processing pipelines using DAGs/Graphs and distributed workers/jobs Collaborate with cross-functional teams to identify and prioritize system improvements Develop and implement solutions to handle large fan-out loads and ensure system scalability Work closely with data scientists and engineers to integrate and scale solutions Identify opportunities for optimization and implement changes to improve system performance and reduce resource utilization Requirements
5+ years of experience in software development, with a focus on distributed systems Experience with large fan-out loads and distributed workers/jobs Proficiency in at least one of the following programming languages:
Python (primary language) Rust C++ Hack (PHP)
Experience with cloud-based infrastructure, such as AWS or GCP Strong problem-solving skills and ability to work independently Excellent communication and collaboration skills Bachelors with tech field related Must Have Skills
Experience running compute clusters or building data infrastructure Proficiency in at least one of the following programming languages: Python (ideally), Rust, C++, Hack (PHP) Experience with cloud-based infrastructure such as AWS or GC Nice to Have Skills
Experience with companies using large data scales Experience with Digital Content Creation (DCC) tools such as blender Experience with machine learning frameworks, such as TensorFlow or PyTorch
#J-18808-Ljbffr