Capital One
Financial Services
SeniorLeadSoftwareEngineer,DistributedSystems(Golang+PythononKubernetes)
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“Senior Lead Software Engineer, Distributed Systems (Golang + Python on Kubernetes) at Capital One. Skills: Distributed Systems, Golang, Python, Kubernetes. Lead a portfolio of diverse technology projects. Lead a team of developers”
What You'll Achieve.
Solve real problems and meet real customer needs; Drive a major transformation within Capital One; Enable the rapid and responsible development and deployment of AI/ML solutions at scale; Assist Capital one customers; Unleash the full power of machine learning and AI; Drive powerful experiences to help millions of Americans achieve financial empowerment
Industry & Context.
Solving complex business problems
Sponsorship for employment authorization may be considered
What They're Looking For.
Must Have
Bachelor's Degree, At least 6 years of experience in software engineering, At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
Nice to Have
Master's Degree, 9+ years of experience in at least one of the following: Python, Golang, or Node. js, 4+ years of experience with AWS, GCP, Azure, or another cloud service, 4+ years of experience in open source frameworks, 2+ years of experience in Kubernetes: hands-on deploying and managing large-scale apps on Kubernetes, 1+ years of people management experience, 2+ years of experience with Amazon SageMaker, Databricks, or another comprehensive ML platform, Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion
What You'll Do.
Lead a portfolio of diverse technology projects
Lead a team of developers
Create solutions that help meet regulatory needs for the company
Collaborate with digital product managers
Deliver robust cloud-based solutions that drive powerful experiences
Pioneering and responsibly implementing AI/ML across Capital One
Building platforms that enable the rapid and responsible development and deployment of AI/ML solutions at scale
Harnessing the power of Generative AI to assist Capital one customers
How You'll Work.
Team & Collaboration
Collaborative, inclusive, and iterative delivery environment; Part of a big group of makers, breakers, doers and disruptors; Collaborate with digital product managers; Collaborative and interdisciplinary team; Mentoring other members of the engineering community
Process & Methodology
Lead a portfolio of diverse technology projects
Full Job Description
Senior Lead Software Engineer, Distributed Systems (Golang + Python on Kubernetes) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking **Full Stack/Back End Software Engineers** who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. The **Machine Learning Experience Team (MLX Tech)** is committed to pioneering and responsibly **implementing AI/ML across Capital One**. We achieve this by building platforms that enable the rapid and responsible development and deployment of AI/ML solutions at scale. **MLX Tech** harnesses the power of Generative AI to assist Capital one customers. Our mission is driven by our passionate, collaborative, and interdisciplinary team, being trusted partners to unleash the full power of machine learning and AI. **What You’ll Do:** * Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company * Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code * Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment * Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBM
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