Senior Software Engineer

4 weeks ago

Bellevue, Washington, United States Wal-Mart Associates, Inc. Full time
Job Summary:

We are seeking a highly skilled Senior Software Engineer to join our team at Wal-Mart Associates, Inc. The ideal candidate will have a strong background in software development, with a focus on cloud computing and machine learning.

Key Responsibilities:
Design and develop scalable software solutions using cloud computing platforms such as GCP or AWS.
Collaborate with cross-functional teams to integrate software components and ensure seamless execution of inference tasks.
Develop and maintain Docker images for executing NVIDIA Triton Inference Server and ensure containerized environments support easy deployment and execution of Triton models.
Implement best practices for containerization, including dependency management and security considerations.
Create and deploy small services on Google Cloud Platform (GCP) to support various ML tasks.
Utilize GCP services such as Cloud Functions, Cloud Run, or App Engine for scalable and efficient microservices architecture.
Document the usage and integration of developed tools, SDKs, Triton clients, and Docker images.
Track system metrics such as GPU, CPU, memory, and network usage during training or other data processing tasks through Weights and Biases.
Maintain code bases on GitHub and add necessary documentation to repos for usage.
Ensure code builds are up and running for any production or dev GitHub repos.
Debug issues with CI/CD pipelines across Jenkins builds.
Use ML libraries including PyTorch, TensorFlow, and ONNX to interact and query ML models.
Implement tools to utilize data science frameworks including Pandas, Numpy, and SciPy for algorithms and calculations.
Containerize Kubeflow components in Docker containers to allow easy dependency resolution and create lightweight standalone packages.
Carry out the unit testing of components, integration testing of pipelines, and regression testing of automated systems to ensure failure is avoided in production.

Requirements:
Master's degree or the equivalent in Computer Science, Engineering (any) or related field and 2 years of experience in large scale enterprise software development environment; OR Bachelor's degree or the equivalent in Computer Science, Engineering (any) or related field and 5 years of experience in large scale enterprise software development environment.
Experience designing and developing microservices using cloud computing using GCP or AWS.
Experience with Object oriented programming languages including Python or JAVA.
Experience dashboarding using different tools including Grafana or CloudWatch.
Experience using cloud computing tools for containerization including Kubernetes.

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