As a Senior Lead Software Engineer in Solutions Engineering , you will be an Engineering Lead within Bank Tech 's internal professional services organization — a team that deploys cross-domain expertise to accelerate Bank Tech's most critical initiatives.
Unlike other roles embedded in a single product, you will build solutions on behalf of product and platform teams across multiple domains and technology stacks. You will own technical delivery on engagements, lead small teams of engineers through complex problem spaces, and produce high-quality, production-ready work under compressed timelines. You will move between high-priority initiatives in a SWAT-style model, rapidly orienting to new codebases and delivering outcomes that unblock teams and de-risk delivery.
Our team works on Bank Tech's top priorities: Integration, Modernization, Reliability, Automated Testing, and Machine Learning. You will drive technical execution across these engagements while growing your breadth across the bank's systems landscape — spanning full-stack development, Cloud/DevOps, SRE, and AI/ML.
If you thrive at the intersection of strong technical execution, adaptability, and relationship building — and you want impact across the entire bank rather than ownership of a single product — this role is for you.
Key Responsibilities
Technical Execution & Delivery
- Own technical delivery on active engagements — writing production code, making architecture decisions, conducting code reviews, and building prototypes that meet acceptance criteria
- Lead a small team of engineers (2–5) through engagement delivery, setting technical direction and removing blockers
- Decompose complex, ambiguous problems into practical implementations with clear milestones
- Ensure quality across engagements: performance, testability, operability, and security
- Make pragmatic technology choices that balance engineering ideals with delivery timelines
- Rapidly onboard to unfamiliar codebases and domains, becoming productive in days rather than weeks
Relationship Building & Collaboration
- Build trusted working relationships with engineering managers, tech leads, and senior engineers on stakeholder teams
- Communicate progress, risks, and technical trade-offs clearly to both technical and non-technical stakeholders
- Partner with receiving teams during knowledge transfer to ensure clean handovers and long-term ownership
- Represent Solutions Engineering credibility through the quality of your work and your ability to earn trust quickly in new environments
Domain Breadth & Bank Context
- Develop working knowledge across Bank Tech's systems landscape: payments, account servicing, data platforms, core banking systems, and cloud infrastructure
- Apply growing institutional context to accelerate delivery — understanding regulatory constraints, deployment patterns, and operational realities
- Stay current on bank-wide technical initiatives and apply that context to engagement work
Mentorship & Engineering Culture
- Mentor engineers on your engagement teams, helping them grow technically and navigate the unique demands of a professional services model
- Contribute to a culture of engineering excellence, continuous learning, and knowledge sharing
- Lead by example through high-quality code, clear documentation, and principled technical decisions
Engagement Model
- Operate effectively in a SWAT-style model: rapidly orient to new problem domains, deliver high-impact work in compressed timelines, then transition cleanly to the next priority
- Typically own one primary engagement while contributing to a second
- Thrive with variety — this role serves multiple stakeholders across different domains rather than deep-diving into a single product for years
What Sets This Role Apart
You should apply if:
- You prefer breadth and variety over deep single-product ownership — you'll work across payments, cloud infrastructure, testing, observability, and ML in a single quarter
- You are energized by earning trust quickly in new environments and delivering results that speak for themselves
- You excel at rapid context switching — onboarding a new codebase in days, not months
- You want organizational impact beyond a single team's roadmap — your work will directly advance the bank's most critical initiatives
Basic Qualifications
- Bachelor's Degree
- At least 6 years of experience in software engineering (Internship experience does not apply)
- At least 1 year of experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
Preferred Qualifications
- Master's Degree
- 9+ years of experience in at least one of the following: JavaScript, Java, TypeScript, Python, or Go
- 5+ years of experience with AWS
- 4+ years of experience in open source frameworks
- 2+ years of experience in Agile practices
- Experience working across multiple technical domains in a consulting or professional services engineering capacity where context-switching is the norm
- Experience with one or more of the following: distributed microservices, serverless architectures (Fargate, Lambda), event-driven systems, observability platforms, automated testing frameworks, cloud migration
- Demonstrated ability to onboard quickly to unfamiliar codebases and deliver production-quality work in compressed timelines
- Strong written and verbal communication skills
- Ability to produce clear technical documentation and stakeholder-facing materials
- Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
No agencies please. 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 ; 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.
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