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About the role - Senior Lead Software Engineer
As a Senior Lead Software Engineer, you will:
Basic Qualifications
Preferred Qualifications
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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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Our Senior Directors Are:
Technologists: Strong engineering and technology background with the ability to learn quickly and go deep into our product and engineering solutions - will have a DevOps mindset
Effective Communicators: Excellent listener; proven collaborator with senior leaders, peers and staff
Partnership Attitude: Have the competencies to build very strong partnerships with other technology leaders that enable your team's ability to stay on the leading edge of industry solutions
Curious: Hands-on, "roll up your sleeves" collaborative style of working
Passionate: Bring energy and enthusiasm to the job and organization
Bold: History of taking smart, calculated risks and aggressively leading through change
Achievers: Consistently attain/exceed individual and team goals
You Will:
Lead, manage, and grow multiple teams of product focused software & data engineers
Embrace and incubate emerging technology and open-source products across all platforms
Work to modernize our existing tech stacks and data platforms
Collaborate with internal teams to find areas of opportunities for automation and machine learning
Partner with architects, product owners, data professionals, and software & data engineers to drive the implementation of new applications
Work within and across Agile teams to design, develop, test, implement and support technical solutions across full-stack development tools and technologies
Lead efforts to deploy new and existing applications into AWS environments and provide operational support for the applications
Conduct design and code review to ensure compliance with standards
Basic Qualifications:
Bachelor’s Degree
At least 9 years of experience in software engineering or data engineering
At least 7 years of people management experience
At least 3 years of experience with cloud-based data platforms
Preferred Qualifications:
Master’s Degree
10+ years of experience in Data and Software Engineering
5+ years of experience in Data Acquisition, Data Integration, Data Observability, Data Governance Tooling, Data Standardization, Data Modeling, and Data Architecture
3+ years of experience with Data Lake Lakehouse, Data Mesh, Data Warehousing, and Data Products, GraphQL
3+ years of experience with AWS, Snowflake, and Databricks
Experience with GenAI/Machine Learning in the context of Data Engineering, Data Preparation for ML/GenAI
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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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As a Capital One Machine Learning Engineer (MLE), you'll be part of a team focusing on observability and model governance automation. You will work with model training and features and serving metadata at scale, to enable automated model governance decisions and to build a model observability platform. You will contribute to building a system to do this for Capital One models, accelerating the move from fully trained models to deployable model artifacts ready to be used to fuel business decisioning and build an observability platform to monitor the models and platform components.
What You’ll Do
Work with model and platform teams to build systems that ingest large amounts of model and feature metadata and runtime metrics to build an observability platform and to make governance decisions.
Partner with product and design teams to build elegant and scalable solutions to speed up model governance observability
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state of the art, next generation big data and machine learning applications.
Leverage cloud-based architectures and technologies to deliver optimized ML models at scale
Construct optimized data pipelines to feed machine learning models.
Use programming languages like Python, Scala, or Java
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployments of machine learning models and application code.
Basic Qualifications
Master's Degree in Computer Science or a related field
At least 15 years of experience in software engineering or solution architecture
At least 10 years of experience designing and building data intensive solutions using distributed computing
At least 10 years of experience programming with Python, Go, or Java
At least 8 years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
Preferred Qualifications
Master’s Degree or PhD in Computer Science, Electrical Engineering, Mathematics, or a similar field
5+ years of experience building, scaling, and optimizing ML systems
5+ years of experience with data gathering and preparation for ML models
10+ years of experience developing performant, resilient, and maintainable code.
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
5+ years of experience with distributed file systems or multi-node database paradigms.
Contributed to open source ML software
Authored/co-authored a paper on a ML technique, model, or proof of concept
5+ years of experience building production-ready data pipelines that feed ML models.
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance
5+ years of experience in ML Ops either using open source tools like ML Flow or commercial tools
2+ Experience in developing applications using Generative AI i.e open source or commercial LLMs
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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
These jobs might be a good fit

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What You’ll Do:
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance
Basic Qualifications:
Bachelor’s Degree
At least 4 years of experience in application development (Internship experience does not apply)
At least 2 years of experience in big data technologies
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
At least 2 years of people management experience
Preferred Qualifications:
7+ years of experience in application development including Python, SQL, Scala, or Java
4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
4+ year experience working on real-time data and streaming applications
4+ years of experience with NoSQL implementation (Mongo, Cassandra)
4+ years of data warehousing experience (Redshift or Snowflake)
4+ years of experience with UNIX/Linux including basic commands and shell scripting
2+ years of experience with Agile engineering practices
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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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DataLabs prides itself on its exceptionally vibrant culture. Our Associate Development program enables us to shape amazing career and professional development opportunities for our associates. Our best-in-class Corporate Social Responsibility program has nurtured longstanding partnerships with committed organizations that make a meaningful difference to the communities around us. The enthusiastic volunteerism of our associates is the backbone of all that we do - it enables us to push the envelope of possibilities and have incredible fun along the way. We bend backwards to take care of one another through thick and thin. Our work and the people we are surrounded by are an enduring source of strength and fulfillment in our lives.
Specific responsibilities include, but are not limited to:
Collaborate with cross-functional teams autonomously to prepare detailed plans for projects, determine resource allocation, deliverable timelines, and possible issues, while developing deep business acumen
Coordinate with stakeholders and consultants, conduct internal meetings, and streamline the overall workflow ensuring timely project deliverables
Able to perform analysis in a proactive and detail oriented manner where required to understand the root cause of the challenges, risks and issues
Develop metrics and mechanisms to improve efficiencies and customer experience by identifying roadblocks and proposing process improvements
Produce business insights and action based on the recommendations
Create and maintain project documentation, status reports including timelines, resource plans, and meeting minutes
Manage organizational processes related to Command Center, Associate Development and others
Develop relationships and influence across the organisation and levels while maintaining independence of the function
Demonstrate extreme focus on continuous improvement by identifying best practices from a specific area and developing playbooks of repeatable frameworks and solutions
Support business leaders in product marketing and branding initiatives
What are we looking for?
Ability to provide or recommend solutions to problems; flexibility to assume additional responsibilities
Solid understanding of project management principles, techniques and skills, including the ability to set priorities, work under tight and competing deadlines
Familiar with business and operational fundamentals with strong computer skills and experience with relevant software programs
Highly organized, capable of multitasking and good time management
Creative thinker and problem solver and have the ability to work and contribute positively in a team environment
Excellent verbal and written communication skills
Good presentation skills
Basic Qualifications:
Bachelor’s degree
At least 5 years of experience in project management or process management, or project delivery
Preferred Qualifications:
Project management certifications
Master’s degree
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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
These jobs might be a good fit

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What You’ll Do:
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
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
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 RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services
Basic Qualifications:
Bachelor’s Degree
At least 1.5 years of experience in software engineering (Internship experience does not apply)
Preferred Qualifications:
3+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go
1+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service
2+ years of experience in open source frameworks
2+ years of experience in Agile practices
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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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Senior Manager - Technical Program Management
As a Senior Manager, Technical Program Management (TPM) in the MLX team, you will execute on high priority enterprise level initiatives, and influence across our organization. Specifically, you will be partnering closely with product, engineering, data scientists, and other cross functional teams to create roadmaps, scope programs aligning them with business priorities, define milestones and success metrics, and build scalable, secure, reliable, efficient ML products and platforms. This role will be responsible for big picture thinking, presenting to executive stakeholders, and holding engineering teams accountable for overarching delivery goals.
Our Senior Managers TPM have:
● Strong technical backgrounds (ideally building highly scalable platforms, products, or services) with the ability to proactively identify and mitigate technical risks throughout delivery life-cycle
● Exceptional communication and collaboration skills
● Excellent problem solving and influencing skills
● A quantitative approach to problem solving and a collaborative implementer to holistic solutions; a systems thinker
● Ability to simplify the technically complex and drive well-educated decisions across product, engineering, design, and data science representatives
● Deep focus on execution, follow-through, accountability, and results
● Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done.
● Highly tuned emotional intelligence, good listener, and deep seated empathy for teams and partners
● Ability to lead a program team focused on the building of enterprise Machine Learning capabilities
● Previous experience with machine learning (building models, deploying models, setting up cloud infrastructure and/or data pipelines) and familiarity with major ML frameworks such as XGBoost, PyTorch, AWS SageMaker, etc.
● Ability to manage program communications with key stakeholders at all levels across the company to enable transparency and timely information sharing
Basic Qualifications:
● Bachelor's degree
● At least 5 years of experience managing technical programs
● At least 5 years of experience designing and building data-intensive solutions using distributed computing
● At least 3 years of experience building highly scalable products & platforms
Preferred Qualifications:
● 3+ years of experience in building distributed systems & highly available services using cloud computing services / architecture - preferably using AWS
● 3+ years of experience with Agile delivery
● 2+ years of Machine Learning experience
● Experience in building systems and solutions within a highly regulated environment
● Bachelor's degree in a related technical field (Computer Science, Software Engineering)
● MBA or Master’s Degree in a related technical field (Computer Science, Software Engineering) or equivalent experience
● PMP, Lean, Agile, or Six Sigma certification
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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
These jobs might be a good fit

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About the role - Senior Lead Software Engineer
As a Senior Lead Software Engineer, you will:
Basic Qualifications
Preferred Qualifications
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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
These jobs might be a good fit