Distinguished Engineer, Full Stack

🕒 July 30

🗽 New York, Massachusetts, +1 more states – Remote

🗽 New York – Remote 🍂 Massachusetts – Remote ⚔️ Virginia – Remote

💵 $244.7k - $335.1k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Capital One

WebsiteLinkedInAll Job Openings

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.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• Comprehensive, competitive, and inclusive set of health benefits • Financial benefits • Supportive of total well-being