Senior Lead Software Engineer, Distributed Systems

Capital One; San Jose (CA); On-site; USD 245,000 - 281,000; Full time

Job summary

A leading financial services company is seeking a Senior Lead Software Engineer to enhance their cloud-based ML and AI system. This role involves developing large-scale distributed systems, utilizing technologies like Go, Python, and Kubernetes, to deliver impactful solutions for millions of users. Combining technical expertise with innovative thinking, the candidate will play a pivotal role in driving the success of the machine learning platform.

Benefits

Comprehensive health benefits

Performance-based incentive compensation

Flexible work arrangements

Qualifications

• At least 6 years of professional software engineering experience.
• 1 year of experience with cloud computing (AWS, Azure, Google Cloud).
• 9+ years of experience in Go, Java, or Python preferred.

Responsibilities

• Define control and data plane architecture blueprints.
• Lead diverse technology projects and collaborate with developers.
• Mentor team members and lead design/code review sessions.

Skills

Go

Java

Python

Cloud Computing

Kubernetes

Education

Bachelor’s Degree

Master's Degree

Tools

Kubernetes

Docker

AWS

gRPC

REST

Job description

Senior Lead Software Engineer, Distributed Systems

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 EngineerMcLean, VA: $225,400 - $257,200 for Sr. Lead Software EngineerNew York, NY: $245,900 - $280,600 for Sr. Lead Software EngineerSan Francisco, CA: $245,900 - $280,600 for Sr. Lead Software EngineerSan Jose, CA: $245,900 - $280,600 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 offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [e-mail]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to [e-mail]

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).