Jobs at Capital One
1,446,351 open positions
Capital One is a global financial services company that leverages data science and software engineering to transform banking. Known for its “Digital‑First” strategy, the firm builds cloud‑native platforms, AI‑driven fraud detection, and mobile payment solutions that power millions of customers worldwide.
\nCapital One hires a broad spectrum of tech talent, from full‑stack developers and data engineers to cloud architects and cybersecurity analysts. The hiring process blends online coding challenges, behavioral interviews, and real‑world project simulations. Candidates often receive detailed role descriptions that outline required skills, expected impact, and growth paths.
\nUsing Job Transparency to view Capital One listings means you see exact salary ranges, employee satisfaction scores, and interview difficulty ratings before you apply. This data lets you benchmark offers, tailor your resume, and negotiate with confidence.
Lead Software Engineer - Back End, (Cloud Operations Resilience Engineering)
Company: Capital One
Location: Plano, TX
Posted Jan 23, 2025
Europe & Asia Regulatory Reporting Lead Analyst
Company: Capital Group
Location: London, United Kingdom
Posted Jan 23, 2025
Anti-Money Laundering Subject Matter Expert (SME) - Special Investigations Unit (SIU)
Company: Capital One
Location: Wilmington, DE
Posted Jan 23, 2025
Lead Software Engineer, Full Stack (Cloud Operations Resilience Engineering)
Company: Capital One
Location: Richmond, VA
Posted Jan 23, 2025
Capital One is seeking a Lead Software Engineer with experience in cloud computing, particularly AWS, GCP, or Microsoft Azure. The role involves leading technology projects, collaborating with product managers, and utilizing various programming languages and tools. The ideal candidate will have a Master's Degree, 7+ years of experience in software engineering, and 4+ years in open source frameworks. The position offers competitive compensation, benefits, and opportunities for incentive compensation. Capital One is an equal opportunity employer committed to diversity and inclusion.
Lead AI Engineer
Company: Capital One
Location: Boston, MA
Posted Jan 23, 2025
Capital One is seeking a Lead AI Engineer to join their Intelligent Foundations and Experiences (IFX) team. The role involves partnering with cross-functional teams to deliver AI-powered products, designing and developing AI software components, and leveraging a broad stack of Open Source and SaaS AI technologies. The ideal candidate should have a strong technical background, passion for AI research, and the ability to adapt quickly to big, undefined problems. Basic qualifications include a Bachelor's degree in Computer Science, Engineering, or AI with at least 4 years of experience in AI and ML technologies, or a Master's degree with at least 2 years of experience. Preferred qualifications include experience deploying scalable AI solutions on cloud platforms, designing AI services, and developing AI algorithms using Python, C++, C#, Java, or Golang.
Manager, Information Security Office Consultant (Machine Learning and AI Foundations)
Company: Capital One
Location: New York, NY
Posted Jan 23, 2025
Capital One is seeking a Manager, Information Security Office Consultant with expertise in Machine Learning and AI Foundations. The role involves consulting on Information Security initiatives, programs, and projects, and collaborating with various teams to innovate and push boundaries. The ideal candidate should have a deep understanding of risk and security, be familiar with Cloud Service technologies, and possess strong communication and leadership skills. Basic qualifications include at least 4 years of cybersecurity or IT experience, 1 year of experience in security concepts, risk assessments, and architecture reviews. Preferred qualifications include a Bachelor's Degree, experience in securing public cloud environments, and professional certifications like AWS Certified Solutions Architect and CISSP.
Sr. Associate, Commercial Bank Accounting
Company: Capital One
Location: Richmond, VA
Posted Jan 23, 2025
Capital One is seeking a Senior Associate for Commercial Bank Accounting, requiring strong analytical, problem-solving, and organizational skills. The role involves managing multiple priorities, meeting deadlines, and supporting external SEC and regulatory reports. Preferred qualifications include a CPA license, data analytics experience, and Financial Services industry experience. The position offers competitive compensation and benefits, with a salary range of $94,600 - $107,900 for McLean, VA, and $86,000 - $98,200 for Richmond, VA.
Internal Audit Specialist
Company: Capital Group
Location: London, United Kingdom
Posted Jan 23, 2025
Senior Software Engineer, Back End (GoLang)
Company: Capital One
Location: McLean, VA
Posted Jan 23, 2025
Capital One is seeking a Senior Software Engineer with expertise in GoLang for a role focused on modernizing their credit card application space. The engineer will collaborate with Agile teams, design and develop technical solutions, and work with technologies like AWS and Kubernetes. The ideal candidate will have at least 3 years of professional software engineering experience, preferably with 5+ years in languages like Java, Scala, Python, Go, or Node.js, and experience with AWS, open source frameworks, and Agile practices. The role offers a competitive salary and benefits package, and Capital One is an equal opportunity employer committed to diversity and inclusion.
Principal Associate- Machine Learning Engineer
Company: Capital One
Location: Bangalore, India
Posted Jan 23, 2025
Capital One India is seeking a Principal Associate - Machine Learning Engineer to join their MLX team. The role involves leading the design and implementation of observability tools and dashboards for a large scale genAI platform. The ideal candidate will have a strong background in machine learning engineering, with a focus on platform observability, and hands-on experience with Generative AI models. They should be proficient in observability tools like Prometheus, Grafana, ELK Stack, and ML frameworks such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow. The role also requires experience in developing applications using Generative AI and knowledge of cloud platforms like AWS, Azure, or GCP.