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Market-Observed Role 🔍 Observed Likely Active (65-79)
This role was detected through Capital One's hiring system and hasn't been verified directly by the employer. Our algorithm scored it as Likely Active (65-79) based on freshness, specificity, and company patterns. What does this mean? →

Principal Associate- Fullstack Engineering

Capital One
🔍 Observed
66
Hiring Activity Score
Likely Active (65-79)
  • ✅ Base score
  • ✅ Posted 21 days ago
  • ✅ has location, quality description (4361 chars)
  • ✅ 8 skills
  • ✅ High confidence (90%)
  • ✅ Direct ATS (workday)
How the Hiring Activity Score works →
Bangalore, In First seen 3 weeks, 1 day ago Last seen 10 hours, 33 minutes ago Workday
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Job Description

AI Summary
• Lead full-stack software engineering for Capital One's Machine Learning Experience team, designing and developing cloud-based solutions that integrate ML and generative AI across the company. • Requires Bachelor's degree in engineering/computer science and minimum 5 years of software engineering experience; preferred qualifications include expertise in Python/Go, AWS services (EKS, Kafka, Lambda), and Agile practices. • Work with Agile teams on collaborative full-stack development using Python, Go, Docker, Kubernetes, and AWS tools to build robust solutions for financial services customers. • Opportunity to mentor engineers, stay current with emerging technologies, and participate in technology communities while driving major transformation initiatives within Capital One. • Based in Bangalore, India; no visa sponsorship available; no agency applicants.

Skills

sql go java aws git kubernetes docker python
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Job Information
  • Company:
    Capital One
  • Location:
    Bangalore, In
  • Job Type:
    Full-Time
  • Experience Level:
    Senior
  • Source:
    Workday
  • Status:
    Active
Activity Score
66 /100
Likely Active (66)

Higher scores indicate more likely active hiring based on listing freshness, company activity, and other signals. Learn more →

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🔍 Observed Market-Observed Roles

These roles were detected through employer hiring systems like Workday. They haven't been verified by the employer directly, so we score each one using our Hiring Activity Score — an algorithm that analyzes freshness, specificity, company hiring patterns, and more to estimate whether the role is actively being filled.

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