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

Distinguished Engineer - Cyber, Data Protection & Endpoint Security

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

Location

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

Salary:

244700.00 - 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 3 years of experience with public or private cloud technologies

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 roadmap for our Endpoint Security, Data Loss Prevention (DLP), and Cryptography Services
Build capabilities to automate manual workflows within these programs to reduce toil and drive operational excellence and platform stability
Identify opportunities to develop custom software to build innovative cyber security solutions

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 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

As part of the Hardware Engineering organization, you’ll join the Antenna Engine...

Location

United States , Sunnyvale

Salary:

182000.00 - 256000.00 USD / Year

CommScope

Expiration Date

Until further notice

Requirements

Ph.D. in Electrical Engineering (antenna focus) preferred
Master’s Degree with relevant experience considered
10+ years of experience with antenna design
Deep understanding of antenna fundamentals and RF principles
Expertise with HFSS, CST, or similar modeling tools
Hands-on skills in antenna prototyping, soldering, and breadboard assembly
Proficiency with lab equipment: spectrum/network analyzers, signal generators, and antenna measurement ranges
Strong problem-solving and debugging skills for RF and wireless systems
Experience with Wi-Fi, Bluetooth, LTE technologies
Familiarity with circuit analysis and layout tools

Job Responsibility

Provide technical leadership and own antenna designs for Access Points and other wireless products across 500 MHz to 7 GHz
Lead antenna engineering projects from concept to production
Use advanced simulation tools (e.g., HFSS, CST) to design PCB antennas, discrete antennas, and antenna arrays
Validate designs through simulation and measurement, ensuring optimal system performance
Develop antenna requirements and contribute to system-level specifications for new products
Adapt existing designs for new applications through simulation and hands-on optimization
Collaborate with PCB layout and mechanical teams to refine prototypes for high-volume production
Debug RF and antenna subsystem issues in partnership with RF engineers
Perform root cause analysis and statistical evaluations for production readiness
Support compliance testing and guide products through regulatory certification

What we offer

medical, dental, and vision plans
life and accidental death insurance
a 401(k) plan
participation in the Company’s Incentive Plan
eleven paid holidays in a full calendar year
two weeks of paid vacation
other leave options

Fulltime

Sr. Distinguished AI Engineer

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

Location

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

Salary:

280600.00 - 384200.00 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

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 AI Engineer

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

Location

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

Salary:

244700.00 - 335100.00 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 8 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 6 years of experience developing AI and ML algorithms or technologies
At least 8 years of experience programming with Python, Go, Scala, or Java
8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems
Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers

Job Responsibility

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One
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, etc
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

This position offers you the opportunity to join a fast-growing technology organ...

Location

Colombia

Salary:

Not provided

Parser Limited

Expiration Date

Until further notice

Requirements

Bachelor’s degree or higher in Computer Science, Engineering, or a related STEM field
Excellent verbal and written communication in English
Fluency in local language (Spanish) is mandatory
Strong hands-on experience with backend development, system integrations, and API-driven architectures
Solid programming foundation, with TypeScript experience strongly preferred
Background in customer-facing technical roles (e.g., Solutions Engineering, Integration Engineering, Technical Consultant) is a significant plus
Familiarity with monitoring, observability, and analytics platforms (e.g., Datadog)
Demonstrated problem-solving ability, attention to detail, and passion for artificial intelligence
Experience with conversational AI, LLM-based systems, or agent frameworks is an advantage

Job Responsibility

Lead all technical aspects of the customer lifecycle, from early-stage discovery to solution design and deployment
Participate in sales engagements by conducting technical deep dives, delivering demos, and steering architecture and security discussions with enterprise stakeholders
Define and uphold engineering standards, development best practices, and integration frameworks for regional and global teams
Design, build, and maintain backend components, integrations, and API-driven workflows for AI agent deployments
Ship high-quality, production-ready code and ensure scalable, secure, and maintainable solutions
Drive end-to-end customer integrations—including scoping, development, testing, deployment, and post-production optimization
Build, mentor, and manage a high-performing technical team across engineering, integrations, and pre-sales
Establish local delivery capabilities and cultivate a strong engineering culture focused on quality, collaboration, and innovation
Oversee technical escalations, ensuring timely resolution and customer success
Gather market and customer insights to inform product improvements and regional feature localization

Fulltime

New

Distinguished Engineer - Hyperscalers

At NetApp, we have a history of helping customers turn challenges into business ...

Location

United States , San Jose

Salary:

285000.00 - 355000.00 USD / Year

NetApp

Expiration Date

Until further notice

Requirements

Minimum of 10+ years of experience as software engineer
4+ years hands-on experience as a senior Principal Engineer leading multiple software engineering teams
Expert knowledge in performance, scalability, enterprise system architecture, and engineering best practices
Expert in designing and building large-scale systems in a multi-tiered, distributed environment (Service Oriented Architecture)
Extensive experience building fault tolerant and high scale distributed architecture on one of the major cloud providers
Extensive experience of cloud native application or services operations, data management, migration, and security
Excellent communication and writing skills, with the ability to effectively engage with customers, stakeholders, and the engineering community
Proactive and self-driven, with the ability to work independently and take ownership of initiatives
Experience operating and troubleshooting reliable, scalable software systems
Experience building fully automated testing frameworks from code check-in to deployment

Job Responsibility

Lead the definition, design, architecture quality, implementation, and delivery of the most advanced, most difficult, most cross-cutting, and/or most ambiguous challenges spanning across the Cloud business unit
Operate with independence and act as force multipliers to the benefit of the company, delivering on its most complex challenges
Foster a culture of learning and experimentation, and advocate for best engineering, QA, and Operational practices for the entire business unit
Serve as a technical leader on demanding, cross-functional engineering projects
Understand not just the technical and product capabilities but the nuances of the NetApp cloud business and help to understand and balance conflicting stakeholder objectives, while simultaneously building trust and demonstrating empathy with customers’ needs
Architect and build modern CD/CI infrastructure which works all the time for several hundred developers working on multitude of interconnected software deployment pipelines
Architect and design modern, cloud native QA framework and components
Assist in the career development of others, actively coach and mentor other senior and principal engineers on advanced technical issues
Contribute to building intellectual property through patents

What we offer

Health Insurance
Life Insurance
Retirement or Pension Plans
Paid Time Off (PTO)
various Leave options
Performance-Based Incentives
employee stock purchase plan
restricted stocks (RSU’s)
40 hours of paid volunteer time each year
Employee Assistance Program, fitness, and mental health resources

Fulltime

Distinguished Engineer

Capital One

Location:
United States , McLean ▼
Richmond
Chicago

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 01, 2026

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Job Description:

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Additional Information:

Job Posted:February 01, 2026

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