
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.
November 18
⚔️ Virginia – Remote
💵 $204.9k - $233.8k / year
⏰ Full Time
🟠 Senior
🔙 Backend Engineer
🦅 H1B Visa Sponsor

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.
• Lead a portfolio of diverse technology projects • Manage a team of developers with deep experience in distributed microservices • Share passion for tech trends and mentoring • Collaborate with product managers and deliver cloud-based solutions • Utilize programming languages like Java, Python, SQL, Node, Go, and Scala
• Bachelor’s Degree • At least 6 years of professional software engineering experience • At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) • At least 4 years of people management experience • Master’s Degree (preferred) • 9+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js (preferred) • 3+ years of experience in big data technologies (preferred) • 3+ years of experience with Distributed data/computing tools (preferred) • 3+ years of experience with industry recognized ML frameworks (preferred) • 3+ years of experience building production-ready data pipelines (preferred) • 3+ years of experience building, scaling, and optimizing ML systems (preferred) • 2+ years of experience leading teams developing ML solutions (preferred) • 3+ years of experience with AWS, GCP, Azure, or another cloud service (preferred) • 4+ years of experience in open source frameworks (preferred) • 7+ years of people management experience (preferred) • 2+ years of experience in Agile practices (preferred)
• performance based incentive compensation • comprehensive, competitive, and inclusive set of health, financial and other benefits
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