Senior Lead Software Engineer, Distributed Systems (Golang + Python on Kubernetes)
At a glance
AI generatedTL;DR
As a Senior Lead Software Engineer in the Machine Learning Experience Team (MLX Tech) at Capital One, you will be responsible for leading the development and deployment of AI/ML solutions on distributed systems using Golang and Python within Kubernetes environments. Your day-to-day tasks include designing scalable and efficient platforms that enable rapid and responsible AI/ML solution delivery across the organization. You will work closely with a collaborative team to integrate advanced technologies like Amazon SageMaker and Databricks, ensuring seamless deployment at scale while adhering to best practices in cloud services such as AWS, GCP, or Azure. This role demands expertise in Kubernetes for managing large-scale applications, along with strong proficiency in Python, Golang, and hands-on experience with cloud platforms and ML tools.
Skills
What you'll do
- Design and implement scalable distributed systems using Golang and Python.
- Deploy and manage large-scale applications on Kubernetes platforms.
- Utilize Amazon SageMaker or similar ML platforms for AI/ML solutions.
- Collaborate on building platforms for rapid development of AI/ML projects.
- Ensure the responsible and ethical implementation of AI/ML technologies.
What we're looking for
- 9+ years of experience in Python, Golang, or Node.js
- 4+ years of experience with AWS, GCP, Azure, or another cloud service
- 2+ years of hands-on Kubernetes deployment and management for large-scale applications
- 2+ years of experience with Amazon SageMaker, Databricks, or similar ML platforms
- Master’s Degree required
Employer
About Capital One Financial
Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking
Capital One Financial currently has 535 open roles on FindRole.
Listed pay typically runs $197,300–$225,100 across 531 roles with salary data.
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