Senior Lead Software Engineer, Distributed Systems
Capital OneAbout the role
The Capital One machine learning platform organization manages our cloud-based enterprise ML+AI system providing users with development tools and runtime environments necessary to build and run machine learning and AI systems with large scale real-time and batch processing workloads. We are seeking a Senior Lead Software engineer, who is passionate about working on large scale distributed systems to help develop foundational capabilities for our platform.
You will use your experience in building large scale and highly available systems to develop our shared control plane and fleet management framework as well as distributed compute infrastructure. Your foundational contributions will support our diverse offerings ranging from developer notebooks to model training to model inference and feature generation pipelines to pre-training and fine tuning Transformer architecture based models as well as generative AI inference applications. Your depth of expertise in technologies including Golang and Python programming languages, gRPC and REST web service frameworks, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, cloud databases and computer security, coupled with foundational knowledge in ML and AI domains, will provide an amplifying technical element that is paramount to our team's success.
You will:
Define control and data plane architecture blueprints and develop implementations that help us realize a highly available, large scale and a provably secure machine learning platform
Lead a portfolio of diverse technology projects and collaborate with a team of developers with deep experience in distributed microservices
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 leading system design and code review sessions
Work cross-functionally with product and program management disciplines, to deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Utilize programming languages like Go, Python, and Java, open Source RDBMS and NoSQL databases, container orchestration services including Docker and Kubernetes, and a variety of AWS tools and services to develop highly performant solutions
Basic Qualifications
Bachelor’s Degree
At least 6 years of professional software engineering experience (Internship experience does not apply)
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
Preferred Qualifications
Master’s Degree
9+ years of experience in at least one of the following: Go, Java, or Python
4+ years of experience with AWS (or equivalent) cloud experience
2+ years of experience working with Kubernetes
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Cambridge, MA: $225,400 - $257,200 for Sr. Lead Software Engineer
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offer
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