Drive strategy and innovation across our engineering ecosystem
Influence engineering direction across product lines
Architect deep telemetry intelligence
Partner with senior leaders to transform how we see, understand, and act on technology operations data in the cloud
Act as a role model and mentor within the tech community
Handle several projects simultaneously, balancing your time to maximize impact
Requirements
Bachelor’s Degree
At least 9 years of experience in: General software, Software engineering and solution architecture, Enterprise architecture and design patterns, Software specializations, Full ML development lifecycle using AI and ML frameworks, Cloud computing (AWS, Microsoft Azure, Google Cloud), Data architecture
Bachelor's or Master's Degree in Computer Science or a related field (Preferred)
10+ years of professional experience coding in commonly used languages like Java, Python, Go, JavaScript/TypeScript, Swift, etc. (Preferred)
10+ years of professional experience in the full lifecycle of system development, from conception through architecture, implementation, testing, deployment and production support (Preferred)
10+ years of experience designing, implementing, and operating observability solutions for large-scale, distributed, and highly available systems. (Preferred)
5+ years of experience with Open Source Observability tools such as OpenTelemetry, Prometheus, Grafana etc. (Preferred)
Experience with emerging observability trends and technologies, such as eBPF, zero-code instrumentation, or AI/ML-driven anomaly detection is a plus. (Preferred)
3+ years of experience with public or private cloud technologies (Preferred)
Benefits
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
software engineeringsolution architectureenterprise architecturedesign patternsfull ML development lifecyclecloud computingdata architecturesystem development lifecycleobservability solutionsAI/ML-driven anomaly detection