Staff Software Engineer, Full Stack (Remote Eligible)

Relha LLC; Cambridge (MA); Remote; USD 245,000 - 335,000; Full time

Job summary

Capital One in Cambridge, MA is seeking a Staff Software Engineer, Full Stack, with remote eligibility. You will lead as a trusted technical contributor, shaping architectures, mentoring engineers, and driving AI-native engineering practices across Finance Technology.

The role emphasizes delivering scalable, high-performance systems for liquidity management, predictive analytics, and financial planning infrastructure, while collaborating with AI/ML teams, data scientists, and product managers.

Qualifications

• Bachelor's or higher degree in a technical field; relevant experience counts toward qualification.
• Strong background in software architecture, distributed systems and ML/AI lifecycles.
• Proven ability to design scalable, high-performance, cloud-based software solutions.

Responsibilities

• Articulate and evangelize a bold technical vision for your domain.
• Decompose complex problems into practical, scalable solutions.
• Ensure quality of technical design and implementation.
• Serve as an authoritative expert on non-functional system characteristics.
• Continue learning and injecting advanced technical knowledge into our community.
• Lead multiple projects simultaneously to maximize impact.
• Mentor engineers and help strengthen organizational technical expertise.
• Lead POC development for emerging AI frameworks and patterns.
• Collaborate across towers to share architectures and raise bar company-wide.
• Champion AIOps practices, driving reliability via AI-assisted monitoring and remediation.

Skills

Software architecture

Distributed systems

ML/AI development

Full stack development

Education

Bachelor's Degree

Master's Degree

Tools

Cloud platforms

CI/CD tooling

Job description

Staff Software Engineer, Full Stack (Remote Eligible)

As a Staff Software Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud.

You will work alongside our talented team of developers, AI/ML experts, data analysts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions.

At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community.

Staff Software Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization.

In this role, you will work with our Capital Markets and Financial Planning Technology teams as well as the broader Finance Technology Staff Software Engineer community to drive architectural excellence, establish AI-native engineering standards, and deliver the next generation of liquidity management, predictive analytics and financial planning infrastructure that powers Capital One's most consequential financial decisions.

If you are ready to provide thought leadership and build engineering excellence across Capital One's engineering teams, come join us in our mission to change banking for good.

Key responsibilities:

• 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
• Lead proof-of-concept development for emerging AI frameworks and architectural patterns
• Collaborate with other Finance Technology towers reviewing architectures and designs outside your immediate domain and contributing a cross-cutting perspective that raises the bar org-wide
• Champion AIOps practices - driving platform reliability through AI-assisted anomaly detection, automated remediation, and predictive alerting across the portfolio

Basic Qualifications:

• Bachelor's Degree
• At least 7 years of experience in the following:
  • Software engineering and solution architecture
  • Enterprise architecture and design patterns
  • Designing and building distributed HPC and ML systems
  • Full ML development lifecycle using AI and ML frameworks

Preferred Qualifications:

• Bachelor's or Master's in Computer Science, Applied Mathematics, or a related technical field
• 10+ years of experience in one or more of: software engineering and solution architecture, enterprise architecture and design patterns, distributed HPC and ML systems, ML development lifecycle, cloud computing, or data architecture
• 8+ years owning the full SDLC, conception through architecture, implementation, testing, deployment, and production support; you have been paged and you have fixed it

Demonstrated AI-native engineering practice across all three layers:

• Daily use of AI coding assistants to accelerate productivity, utilizing capabilities well beyond basic code completion
• AI embedded in CI/CD and SDLC tooling - test generation, spec validation, code review augmentation
• Production experience building LLM-backed or agentic systems - prompt engineering, evaluation frameworks, observability, and guardrails included
• Experience working directly with quantitative analysts or data scientists - model development lifecycles, feature pipelines, backtesting, ML deployment, and the rigor to validate what a model is actually doing

Capital One is open to hiring a Remote Employee for this opportunity.

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Remote (Regardless of Location): $244,700 - $279,200 for Distinguished Engineer

Cambridge, MA: $269,100 - $307,200 for Distinguished Engineer

McLean, VA: $269,100 - $307,200 for Distinguished Engineer

New York, NY: $293,600 - $335,100 for Distinguished Engineer

Richmond, VA: $244,700 - $279,200 for Distinguished Engineer

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

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 [emailprotected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to [emailprotected]