Distinguished Engineer Job at Capital One (McLean)

Distinguished Engineer

In this role as a Distinguished Engineer for Atlassian’s Corporate Engineering d...

Location

United States , Seattle; San Francisco; Mountain View; Austin

Salary:

327200.00 - 400000.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Deep technical expertise with 15+ years of experience designing/building enterprise-grade platforms and systems
Fluency in the current landscape of cloud platform architecture and ideally AWS stack
Passion for software engineering excellence - design principles and patterns, unit testing, performance engineering, best practices for security and privacy
Passion and aptitude for recognizing, raising, and reconciling gaps and redundant efforts across organizations
Excellent collaboration, communication and leadership skills
Ability to get engineers to follow their lead as well as mentor/coach
High level of energy and a desire to thrive in a large, fast-paced organization
ability to balance multiple projects under pressure

Job Responsibility

Own and lead the approach to the largest and most complex technical problems from technical design to launch to day-to-day operation
Design solutions that can be modeled and used by our customers in production
Solve complex architectural challenges and define architectural standards
Lead code reviews and documentation and take on complex bug fixes, especially on high-risk problems
Partner across engineering teams to take on company-wide programs
Mentor engineering leaders and teams across the Corporate Engineering team

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

New

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

Distinguished Technologist, Cloud Development (AI/ML)

Joining our HPE Hybrid Cloud team and working as part of our OpsRamp team is a c...

Location

United States , San Jose

Salary:

164500.00 - 398500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

15+ years of relevant experience in the industry delivering technical and business strategy at an advanced/strategist level
Master's, or PhD degree in Computer Science, Information Systems, Engineering, or equivalent
At least 4 years of hands-on expertise in defining, building, training and / or optimizing foundational deep learning models at scale in PyTorch, HF and other ML frameworks and libraries
Experience and/or deep understanding in various deep learning architectures like CNNs, GNNs, Transformers, Reinforcement Learning etc. is a strong advantage
Strong hands-on experience/understanding in pre-training, fine-tuning, distilling, aligning open-source large language models and have them complement the in-house foundational models
Hands-on experience developing multi-agent applications around a mixture of in-house and open-source models while leveraging latest in RAG and Prompt Engineering tooling techniques
Strong customer focus and obsession with improving service availability/performance and user experience/consumption using measurable SRE metrics
Must have a track record of working alongside other engineering teams architecting, building, and deploying mission-critical, highly distributed, large-scale SaaS applications
Must have strong knowledge of application failure modes, resiliency patterns, and techniques to enable robust, self-healing architecture
Effective technical leadership skills to influence diverse groups to move toward common goals/strategies

Job Responsibility

Lead strategy and innovation across OpsRamp’s Intelligent Observability portfolio
Champion HPE OpsRamp’s position with HPE customers and GTM partners externally and HPE internal cross-functional stakeholders
Drive technical strategy for emerging GenAI trends across Hybrid Observability and AIOps for cloud-scale modern applications
Design and introduce new products to the market
Provide consultation, design input, and feedback for product development and design reviews
Transition proof-of-concept implementations into R&D teams to accelerate new product delivery
Guide and mentor less-experienced staff members.

What we offer

Health and wellbeing benefits
Career development programs
Diversity, inclusion, and belonging initiatives.

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

Distinguished Engineer - Qualification & Delivery - Release Platform

GEICO is seeking a Distinguished Engineer to serve as a technical leader within ...

Location

United States , Chevy Chase; Baltimore; Washington

Salary:

140000.00 - 300000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

15+ years of software engineering, DevOps, or platform engineering experience, with a deep focus on DevSecOps, CI/CD, deployment automation, platform engineering, and release engineering
Expertise in Kubernetes, container orchestration, and GitOps workflows (ArgoCD, Helm)
Deep experience with high-scale CI/CD platforms, including GitHub Actions, Jenkins, Azure DevOps pipelines
Strong understanding of Deployment Control Gates and Policy as Code with Open Policy Agent (OPA) and Rego to enforce deployment policies
Platform Engineering expertise with experience designing self-service platforms, developer portals, and infrastructure automation
Proficiency in Linux system administration, networking fundamentals, and cloud infrastructure (AWS, GCP, Azure)
Strong understanding of observability, monitoring, and tracing for CI/CD pipelines, platform engineering solutions, and release workflows
Proven track record of technical leadership, influencing company-wide decisions, and mentoring senior engineers
Experience working in large-scale, distributed engineering environments with thousands of engineers

Job Responsibility

Define and drive the strategic roadmap for GEICO’s Deployment and Release Platform and Platform Engineering, ensuring scalability, reliability, and developer efficiency
Architect and optimize high-performance CI/CD frameworks and Platform Engineering solutions to support 3000+ engineers and enable self-service infrastructure
Pioneer the adoption of GitOps principles using Flux, ArgoCD, and Kubernetes, enabling automated, declarative deployments
Define Service to service communication patterns, and discoverability using Istio Service Mesh
Design and enforce deployment control gates using Policy as Code methodologies with Open Policy Agent (OPA) and Rego, ensuring secure, compliant, and auditable deployments
Lead the adoption of cloud-native deployment patterns, and containerized workflows
Develop platform engineering frameworks that empower developers with self-service capabilities, reducing communication confusions and accelerating software delivery
Define best practices for monitoring, logging, tracing, and release observability using tools like Prometheus, Grafana
Serve as a mentor, and advocate for best practices in DevSecOps, Continuous Delivery, Platform Engineering, and Cloud-Native development across GEICO and the broader engineering community
Cross-Team Collaboration: Work with Application, CI, Security, SRE, and Observability teams to drive alignment on deployment strategies, platform engineering solutions, and software delivery automation

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 Applied Researcher

At Capital One, we are creating trustworthy and reliable AI systems, changing ba...

Location

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

Salary:

278400.00 - 381300.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research
PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields
LLM
PhD focus on NLP or Masters with 10 years of industrial NLP research experience
Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs
Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)
Has worked on an LLM (open source or commercial) that is currently available for use
Demonstrated ability to guide the technical direction of a large-scale model training team
Experience with common training optimization frameworks (deep speed, nemo)
Experience contributing to the team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs

Job Responsibility

Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money
Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data
Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation
Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences
Flex your interpersonal skills to translate the complexity of your work into tangible business goals
Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money

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

New

Sr. Distinguished AI Engineer

At Capital One, we are creating responsible and reliable AI systems, changing ba...

Location

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

Salary:

286200.00 - 392000.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies
At least 10 years of experience programming with Python, Go, Scala, or Java

Job Responsibility

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One

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

Capital One

Location:
United States , McLean ▼
New York

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
April 16, 2026

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