
10,000+ employees
🏦 Banking
💳 Fintech
💸 Finance
💰 Post-IPO Equity on 2023-05
Banking • Fintech • Finance
Capital One is a leading financial services company that specializes in offering credit cards, auto loans, banking, and savings accounts. With a focus on innovation and technology, Capital One aims to change banking for good by providing customer-friendly solutions and fostering a diverse and inclusive workforce. The company is known for its commitment to creating a positive impact in the banking industry through advanced digital tools and customer service excellence.
🕒 2 days ago
🗽 New York, Massachusetts, +1 more states – Remote
💵 $244.7k - $335.1k / year
⏰ Full Time
🟠 Senior
🔴 Lead
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
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10,000+ employees
🏦 Banking
💳 Fintech
💸 Finance
💰 Post-IPO Equity on 2023-05
Banking • Fintech • Finance
Capital One is a leading financial services company that specializes in offering credit cards, auto loans, banking, and savings accounts. With a focus on innovation and technology, Capital One aims to change banking for good by providing customer-friendly solutions and fostering a diverse and inclusive workforce. The company is known for its commitment to creating a positive impact in the banking industry through advanced digital tools and customer service excellence.
• 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 • Continuously learn and inject advanced technical knowledge into our community • Handle several projects simultaneously, maximizing impact • Act as a role model and mentor within the tech community • Lead proof-of-concept development for emerging AI frameworks • Collaborate with other Finance Technology towers
• Bachelor’s Degree • At least 7 years of experience in 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 • Cloud computing (AWS, Microsoft Azure, Google Cloud) • Data engineering • 10+ years of experience in one or more of: software engineering, solution architecture, enterprise architecture, distributed HPC and ML systems, ML development lifecycle, cloud computing, or data architecture • 10+ years of hands-on coding in programming languages: Python, Java, Go, Scala, JavaScript/TypeScript • 8+ years owning the full SDLC
• Comprehensive, competitive, and inclusive set of health benefits • Financial benefits • Supportive of total well-being
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