Distinguished Engineer Job at Capital One (Richmond, Virginia)

Sr. Distinguished Engineer

Sr. Distinguished Engineer As a Sr. Distinguished Engineer at Capital One, you ...

Location

United States , McLean, Virginia; Richmond, Virginia

Salary:

314800.00 - 359300.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's Degree
At least 9 years of experience in Enterprise architecture and design patterns
Software engineering and solution architecture
Software specializations
Full ML development lifecycle using AI and ML frameworks
Designing and building distributed HPC andML systems
Mobile technology and frameworks (iOS, Android)
Web technologies (Javascript, TypeScript and SPA frameworks)
Network engineering and architecture
Data architecture

Job Responsibility

Articulate and evangelize a bold technical vision for your domain
Decompose complex problems into practical and operational solutions
Ensure the quality of technical design and implementation
Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability
Continue learning and injecting advanced technical knowledge into our community
Handle several projects simultaneously, balancing your time to maximize impact
Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community
Define and drive the technical vision for Capital One’s web platform domain, spanning authenticated servicing, marketing/acquisition, and design system capabilities
Lead architectural decisions for large-scale platform integrations and migrations, ensuring long-term platform health while meeting delivery commitments
Establish AI-native development standards and practices for web platforms, including agentic tooling, machine-consumable architecture, and AI-assisted delivery workflows

Fulltime

Distinguished Engineer

As a Distinguished Engineer at Capital One, you will be a part of a community of...

Location

United States , San Jose, California; McLean, Virginia; New York, New York; San Francisco, California

Salary:

Not provided

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's Degree
At least 7 years of experience in Software engineering

Job Responsibility

Articulate and evangelize a bold technical vision for your domain
Decompose complex problems into practical and operational solutions
Ensure the quality of technical design and implementation
Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability
Continue learning and injecting advanced technical knowledge into our community
Handle several projects simultaneously, balancing your time to maximize impact
Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community
Design and drive the long-term technical roadmap for our Foundation Model Hosting platform, ensuring high throughput, ultra-low latency, and optimal GPU utilization across massive, multi-tenant workloads
Lead performance engineering across both the platform and model layers
You will pioneer the implementation of advanced techniques such as speculative decoding, continuous batching, kv-cache optimization (PagedAttention), and custom quantization strategies (FP8, INT4, AWQ)

What we offer

performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

Distinguished Engineer

As a Distinguished Engineer at Capital One, you will be a part of a community of...

Location

United States , McLean; New York

Salary:

269100.00 - 335100.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor’s Degree
At least 9 years of experience in software engineering (including solution architecture and enterprise design patterns)
At least 7 years of experience in Data Engineering or Machine Learning Engineering, specifically building and maintaining large-scale production data pipelines (PySpark, SQL, Airflow)
At least 5 years of experience in Cloud Native Architecture, including container orchestration (Kubernetes or KubeFlow) and serverless design
At least 3 years of experience in a Technical Leadership role (Principal, Staff, or Distinguished Engineer), leading cross-functional initiatives without direct reporting lines

Job Responsibility

Articulate and evangelize a bold technical vision for your domain
Decompose complex problems into practical and operational solutions
Ensure the quality of technical design and implementation
Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability
Continue learning and injecting advanced technical knowledge into our community
Handle several projects simultaneously, balancing your time to maximize impact
Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community
Partner with the Capital One Travel Data & Personalization team to architect the next generation of our Travel Intelligence Platform
Serve as the primary architect for the foundational data schemas and orchestration layers
Establish a holistic Agentic AI framework

What we offer

Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)

Fulltime

Distinguished Software Engineer - IFX

As a Distinguished Engineer at Capital One, you will be a part of a community of...

Location

United States , San Jose; San Francisco; McLean; Richmond; New York

Salary:

269100.00 - 335100.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor’s Degree
At least 7 years of experience in software engineering
At least 7 years of experience designing distributed systems, backend architecture, and API platforms
At least 5 years of experience with public cloud technologies

Job Responsibility

Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform
Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics
Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows
Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models
Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions
Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities
Lead the way in creating next-generation talent, mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

Distinguished Data Engineer - Enterprise Data Technology

Distinguished Data Engineers are individual contributors who strive to be divers...

Location

United States , McLean; San Francisco

Salary:

269100.00 - 335100.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor’s Degree
At least 7 years of experience in data engineering
At least 3 years of experience in data architecture
At least 2 years of experience building applications in AWS
At least 5 years of experience of Python, SQL or Scala
At least 3 years of experience developing AI and ML algorithms or technologies

Job Responsibility

Lead the design and implementation of highly scalable, fault-tolerant, and cost-effective data architectures that seamlessly integrate Databricks (for complex processing,ML) and Snowflake (for warehousing,ETL)
Drive performance engineering and optimization for large-scale data ingestion and processing workloads across the Databricks,Snowflake,AWS data pipeline
Provide technical leadership for the design, development, testing and deployment of agentic workflows across Capital One
Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices
Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities
Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in
Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed
leverage expertise to grow skills in the broader Capital One team
Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible
Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner

What we offer

comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)

Fulltime

Senior Distinguished Engineer, AI Compute (Remote Eligible)

Senior Distinguished Engineer, AI Compute (Remote Eligible) Overview: At Capit...

Location

United States , San Francisco; Richmond; New York; San Jose; Cambridge; McLean

Salary:

286200.00 - 392000.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's Degree
At least 7 years of experience with application architecture and design patterns
At least 5 years of experience with distributed databases, microservice architectures, and high availability systems

Job Responsibility

Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform
Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics
Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows
Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models
Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions
Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities
Lead the way in creating next-generation talent, mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Fulltime

Distinguished Engineer

At GEICO, we offer a rewarding career where your ambitions are met with endless ...

Location

United States , Chevy Chase

Salary:

150000.00 - 300000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

10+ years of professional experience in software engineering
8+ years of experience with architecture and design
6+ years of experience in open-source frameworks
4+ years of experience with AWS, GCP, Azure, or another cloud service
Bachelor's degree in computer science, Information Systems, or equivalent education or work experience
Deep hands-on experience in building complex distributed system to process large scale telemetry and architectures to support the scale and performance, with great knowledge on Docker and Kubernetes
Advance knowledge of at least two of the OOP language such as Java, Go, Python, etc.
Great understanding of open-source databases like MySQL, PostgreSQL, etc. And strong foundation with No-SQL databases like Clickhouse, Cassandra. Apache Trino etc. Knowledge or Big data formats such as Parquet or Avro etc.
Experience in architecting, designing, building Observability platform solutions, Advanced data analytics using Open-Source technologies are a big plus.
Experience building distributed systems

Job Responsibility

Develop and drive the overall tech strategy for the Reliability and observability tools organization, and report to the Senior Director
Focus on multiple areas and provide technical and thought leadership as Observability Domain Technical Champion
Collaborate with product managers, team members, customers, and other engineering teams to solve our toughest problems
Develop and execute technical software development strategy for the Observability Engineering domain
Accountable for the quality, usability, and performance of the solutions
Be a role model and mentor, helping to coach and strengthen the technical expertise and know-how of our engineering and product community. Influence and educate executives
Consistently share best practices and improve processes within and across teams
Lead the design and architecture of resilient and scalable systems, considering both on-premises and cloud-based solutions
Develop and maintain comprehensive incident response plans to address various disaster scenarios on our backup/restore systems
Conduct regular simulations and drills to ensure the readiness of the organization in the event of a disaster

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Distinguished Engineer

Become a driving force in GEICO's technological transformation! We seek a Distin...

Location

United States , San Jose; Seattle

Salary:

150000.00 - 300000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

12+ years of professional experience in product/platform engineering designing and building business critical applications
6+ years of experience working with public cloud platforms (AWS, Azure, GCP)
4+ years of experience leading and mentoring technical teams
Proven track record of successful partnership with product and business orgs to prioritize and deliver business value
Prior experience building a B2B or B2C marketplace is a plus
Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience
Proficiency in at least one modern programming language such as Java, GO, C#
Multi-cloud expertise: Proven ability to design and manage infrastructure across AWS, Azure, GCP, and private cloud environments
Hybrid cloud architecture: Solid grasp of hybrid cloud networking, security, and data management challenges
CI/CD and automation: Experience building and optimizing CI/CD pipelines for provisioning, configuration management, and automated testing

Job Responsibility

Architect, design and implement a partner platform which can support the needs to a heterogeneous group of partners
Collaborate closely with business and product partners in understanding business needs and designing solutions that address their priorities
Abstract cross cutting concerns into common platform components that can be used for multiple current and future use cases
Lead team prioritization and sequencing of milestones to deliver incremental business value
Develop and champion best practices, including modular design, version control, automated testing, and security considerations, fostering a culture of quality and efficiency
Partner with Site Reliability Engineering (SRE) to implement monitoring, alerting, and automation for platform reliability, scalability, and cost-efficiency, contributing to a highly available and performant platform

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

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