Senior Lead Software Engineer, Back-End Distributed Systems (AWS, Go, Kubernetes, MCP, Lua, Python)
Capital One Financial
At a glance
AI generatedAs a Senior Lead Software Engineer on the Machine Learning Experience Team (MLX Tech) at Capital One, you will play a pivotal role in advancing AI/ML initiatives by building scalable and robust platforms that enable rapid deployment of machine learning solutions. Your day-to-day responsibilities include leveraging Golang to develop backend services, managing large-scale applications on Amazon EKS and Kubernetes, and integrating advanced technologies such as LLMs, agentic workflows, and control/data planes. You will work closely with a collaborative team to ensure the responsible implementation of AI/ML across Capital One’s operations, requiring expertise in Python or Golang, extensive experience with cloud services like AWS, hands-on knowledge of Kubernetes, and familiarity with comprehensive ML platforms such as Amazon SageMaker and Databricks.
Skills
What you'll do
What we're looking for
Market check
This $229,900–$262,400 range sits above 97% of similar postings on FindRole.
Peer median band
$130,468–$225,100
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$148,221–$211,200
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
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 489 open roles on FindRole.
Listed pay typically runs $197,300–$225,100 across 483 roles with salary data.
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