Full-stack Engineer 5 (Golang, Python, GenAI) (Cloud Operations Resilience Engineering)

Capital One

McLean (VA)

On-site

USD 230,000 - 262,000

Full time

4 days ago
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Job summary

Capital One is seeking a Full-stack Engineer 5 to help build AI-driven governance and scalable cloud infrastructure within the CORE Technology division in McLean, VA. You will design, implement, and govern enterprise‑grade software across microservices, data, and security domains.

You will work with Java, Python, Go, TypeScript, Docker, Kubernetes, and AWS services, collaborating with product managers, data scientists, and risk partners to deliver secure fintech solutions for millions of

Qualifications

  • Bachelor's degree in Computer Science or a related field
  • 6+ years of software engineering experience
  • 3+ years of experience with public cloud platforms (AWS, GCP, Azure) or virtualization

Responsibilities

  • Shape and advance the technical vision and long‑term roadmap for Enterprise Architecture tooling.
  • Design AI‑driven solutions to enforce real‑time governance, risk management, and regulatory compliance.
  • Lead architecture reviews and oversee the deployment of distributed systems and microservices.
  • Write code, create PoCs, and evaluate codebases to validate technical directions.
  • Collaborate with product managers, data scientists, and risk partners to build secure fintech solutions.

Skills

Golang
Python
TypeScript
Java
AWS
GCP
Kubernetes

Education

Bachelor's degree in Computer Science or related field
Master's degree (preferred)

Tools

Docker
Kubernetes
PostgreSQL

Job description

Full-stack Engineer 5 (Golang, Python, GenAI) (Cloud Operations Resilience Engineering)

If you love building, pioneering in the technology space, and solving complex business problems in a fast-paced, collaborative, and iterative environment, you will thrive at Capital One alongside a dynamic group of makers, breakers, doers, and disruptors. We are seeking a Full-stack Software Engineers to join our Cloud Operations Resilience Engineering (CORE) Technology division, which is responsible for enabling and evolving Capital One's foundational cloud infrastructure layer, including observability, connectivity, resilience, and availability. In this role, you will drive Capital One's tech evolution by building well-architected solutions that empower our developers to innovate rapidly. Your critical priority will be designing AI-driven systems to automate and scale our governance and oversight, leading the creation of intelligent guardrails that ensure architectural excellence and compliance across all applications, and leveraging machine learning to deliver real-time insights and proactive risk management.

What You'll Do:
  • Drive the Enterprise Vision: Shape and advance the technical vision and long‑term roadmap for Enterprise Architecture tooling, transforming how application health, compliance, and governance are managed at scale.
  • Establish Intelligent Guardrails: Design and champion enterprise‑wide architectural patterns, utilizing automated, AI‑driven solutions to enforce real‑time governance, risk management, and regulatory compliance across all Capital One applications.
  • Pioneer Modern Paradigms: Infuse industry trends into our ecosystem-such as event‑driven architectures, mesh data topologies, and next‑gen cloud‑native design‑ensuring systems are resilient, highly secure, and horizontally scalable.
  • Lead Complex Tech Initiatives: Oversee and de‑risk the architectural design, testing, deployment, and optimization of highly critical distributed systems, microservices, and full‑stack platforms.
  • Be a Hands‑On Catalyst: Maintain deep technical expertise and actively write code, conduct architecture reviews, create proofs‑of‑concept (PoCs), and rigorously evaluate codebases to validate technical directions.
  • Master the Stack: Leverage a modern, robust tech stack utilizing programming languages like Java, Python, Go, and TypeScript, combined with container orchestration (Docker, Kubernetes), open‑source RDBMS/NoSQL databases, and advanced AWS cloud services.
  • Partner Cross‑Functionally: Collaborate seamlessly with digital product managers, engineering teams, data scientists, and risk/governance partners to build secure fintech solutions that empower millions of customers.
  • Scale Engineering Excellence: Act as a premier technical consultant and mentor across the broader engineering community, elevating technical standards, driving open‑source contributions, and dismantling architectural silos.
  • Foster Tech Culture: Share a relentless passion for staying ahead of the tech curve; experiment with emerging technologies (such as LLMs and automated compliance agents) and actively participate in internal and external tech communities.
Basic Qualifications:
  • Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
  • At least 6 years of experience in software engineering (Internship experience does not apply)
  • At least 3 years of experience with public cloud platforms (AWS, GCP, Azure), cloud‑based productivity tools, or virtualization technologies
Preferred Qualifications:
  • Master's Degree in Computer Science or a related field
  • 9+ years of experience with Golang and Python
  • 4+ years of experience with AWS, GCP or Microsoft Azure
  • 4+ years of experience in open source frameworks
  • Experience with 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.

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.

  • McLean, VA: $229,900 - $262,400 for Full‑stack Engineer 5
  • Plano, TX: $209,000 - $238,500 for Full‑stack Engineer 5
  • Richmond, VA: $209,000 - $238,500 for Full‑stack Engineer 5

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 bo

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