Senior Manager, Software Engineering, Back End - Software; Remote
Dallas, Dallas County, Texas, 75221, USA
Listed on 2026-01-02
-
Software Development
Cloud Engineer - Software, Software Engineer
Senior Manager, Software Engineering, Back End - Capital One Software (Remote) at Capital One summary:
The Senior Manager of Software Engineering at Capital One leads a team to develop back-end cloud-based software solutions addressing data management, regulatory needs, and financial services s role involves overseeing microservices architecture, leveraging cloud platforms like AWS, and integrating machine learning systems. The position requires strong technical leadership, experience in software and people management, and collaboration with product teams to drive innovative financial technologies.
SeniorManager, Software Engineering, Back End - Capital One Software (Remote)
Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud.
And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market.
Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way.
Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward.
We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Senior Manager of Software Engineering, you’ll have the opportunity to be on the forefront of building this business and bring these tools to market.
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 Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and No
SQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services
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)
At least 4 years of people management experience
Preferred Qualifications:
Master’s Degree
9+ years of experience in at least one of the following:
Java, Scala, Python, Go, or Node.js3+ years of experience in big data technologies
3+ years of experience with Distributed data/computing tools (Map Reduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
3+ years of experience with industry recognized ML frameworks such as scikit-learn, PyTorch, Dask, Spark, or Tensor Flow
3+ years of experience building production-ready data pipelines that feed ML models
3+ years of experience building, scaling, and optimizing ML systems
2+ years of experience leading teams developing ML solutions
3+ years of experience with AWS, GCP, Azure, or another cloud service
4+ years of experience in open source frameworks
7+ years of people management experience
2+ years of experience in Agile practices
At this…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).