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Lead Software Engineer, Full Stack (Golang, Python, GenAI) (Cloud Operations Resilience Engineering)
Capital One
McLean, USA
Full-time
Senior · 4+ years experience
Onsite
USD 179400-225100 yearly / year
Discovered 1 weeks ago
JavaPythonGoGolangTypeScriptDocker
Free
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Role Overview
If you love building, pioneering in the technology space, and solving complex business problems in a fast-paced, collaborative, and iterative environment, you will thrive at Capital One alongside a dynamic group of makers, breakers, doers, and disruptors. We are seeking a Lead Software Engineer to join our Cloud Operations Resilience Engineering (CORE) Technology division, which is responsible for enabling and evolving Capital One’s foundational cloud infrastructure layer, including observability, connectivity, resilience, and availability. In this role, you will drive Capital One’s tech evolution by building well-architected solutions that empower our developers to innovate rapidly. Your critical priority will be designing AI-driven systems to automate and scale our governance and oversight, leading the creation of intelligent guardrails that ensure architectural excellence and compliance across all applications, and leveraging machine learning to deliver real-time insights and proactive risk management.
Key Skills for This Role
JavaPythonGoGolangTypeScriptDocker
Full Job Posting
Overview
If you love building, pioneering in the technology space, and solving complex business problems in a fast-paced, collaborative, and iterative environment, you will thrive at Capital One alongside a dynamic group of makers, breakers, doers, and disruptors. We are seeking a Lead Software Engineer to join our Cloud Operations Resilience Engineering (CORE) Technology division, which is responsible for enabling and evolving Capital One’s foundational cloud infrastructure layer, including observability, connectivity, resilience, and availability. In this role, you will drive Capital One’s tech evolution by building well-architected solutions that empower our developers to innovate rapidly. Your critical priority will be designing AI-driven systems to automate and scale our governance and oversight, leading the creation of intelligent guardrails that ensure architectural excellence and compliance across all applications, and leveraging machine learning to deliver real-time insights and proactive risk management.
What You’ll Do
Drive the Enterprise Vision: Shape and advance the technical vision and long-term roadmap for Enterprise Architecture tooling, transforming how application health, compliance, and governance are managed at scale.
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