RESUME AND JOB
Capital One
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
Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability
Continue learning and injecting advanced technical knowledge into our community
Handle several projects simultaneously, balancing your time to maximize impact
Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community
Articulate and evangelize a bold technical vision for embedding AI and automated code transformation into the developer lifecycle.
Decompose complex problems in CI/CD friction and technical debt into practical, operational, and scalable platform solutions.
Lead the productionization of capabilities that optimize the Inner and Outer Loop (CI/CD, deployment, and testing) and enable Shift-Left practices.
Serve as an authoritative expert on non-functional system characteristics, particularly performance, scalability, and observability of the engineering toolchain itself.
Drive innovation by experimenting with and delivering capabilities that utilize Deterministic Code Transformation and AI/ML for engineering workflows (e.g., Intelligent Test Selection).
Act as a role model and mentor within the tech community, coaching teams on modern reliability, platform engineering, and automation best practices.
Bachelor’s Degree in Computer Science or a related field.
At least 10 years of experience in Software Engineering and Solution Architecture for large-scale distributed systems.
At least 5 years of professional experience leveraging public cloud platforms such as AWS, Microsoft Azure, or Google Cloud
At least 5 years of professional experience writing and delivering Proofs of Concept (POCs) for novel technologies or architectural patterns
At least 5 years of experience with Infrastructure as Code (IaC) using tools such as AWS CDK or CloudFormation.
At least 5 years of professional experience driving the adoption of enterprise-level design patterns and best practices for software quality and reliability.
At least 5 years of hands-on professional experience coding in two or more of the following languages: Java, JavaScript, Python, or Go.
Master's Degree in Computer Science or a related field
10+ years of professional experience in the full lifecycle of system development
10+ years of professional experience coding in languages like Java, Python, Go, or JavaScript.
5+ years of experience designing and implementing CI/CD pipelines at scale using tools like Jenkins, GitHub Actions, or Tekton.
Expertise with Policy-as-Code (PaC) technologies such as Open Policy Agent (OPA).
Experience with Abstract Syntax Trees (ASTs), static analysis tools, or other forms of programmatic code manipulation for automated refactoring.
Experience in MLOps or applying Artifical Intelligence or Machine Learning concepts to engineering challenges (e.g., anomaly detection, test optimization, intelligent testing).
Deep practical knowledge of Site Reliability Engineering (SRE) principles, chaos engineering, and advanced Observability tooling (e.g., OpenTelemetry, Prometheus, Tracing).
80,000 - 135,000 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
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© 2026 Pointers. All rights reserved.

Capital One
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
Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability
Continue learning and injecting advanced technical knowledge into our community
Handle several projects simultaneously, balancing your time to maximize impact
Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community
Articulate and evangelize a bold technical vision for embedding AI and automated code transformation into the developer lifecycle.
Decompose complex problems in CI/CD friction and technical debt into practical, operational, and scalable platform solutions.
Lead the productionization of capabilities that optimize the Inner and Outer Loop (CI/CD, deployment, and testing) and enable Shift-Left practices.
Serve as an authoritative expert on non-functional system characteristics, particularly performance, scalability, and observability of the engineering toolchain itself.
Drive innovation by experimenting with and delivering capabilities that utilize Deterministic Code Transformation and AI/ML for engineering workflows (e.g., Intelligent Test Selection).
Act as a role model and mentor within the tech community, coaching teams on modern reliability, platform engineering, and automation best practices.
Bachelor’s Degree in Computer Science or a related field.
At least 10 years of experience in Software Engineering and Solution Architecture for large-scale distributed systems.
At least 5 years of professional experience leveraging public cloud platforms such as AWS, Microsoft Azure, or Google Cloud
At least 5 years of professional experience writing and delivering Proofs of Concept (POCs) for novel technologies or architectural patterns
At least 5 years of experience with Infrastructure as Code (IaC) using tools such as AWS CDK or CloudFormation.
At least 5 years of professional experience driving the adoption of enterprise-level design patterns and best practices for software quality and reliability.
At least 5 years of hands-on professional experience coding in two or more of the following languages: Java, JavaScript, Python, or Go.
Master's Degree in Computer Science or a related field
10+ years of professional experience in the full lifecycle of system development
10+ years of professional experience coding in languages like Java, Python, Go, or JavaScript.
5+ years of experience designing and implementing CI/CD pipelines at scale using tools like Jenkins, GitHub Actions, or Tekton.
Expertise with Policy-as-Code (PaC) technologies such as Open Policy Agent (OPA).
Experience with Abstract Syntax Trees (ASTs), static analysis tools, or other forms of programmatic code manipulation for automated refactoring.
Experience in MLOps or applying Artifical Intelligence or Machine Learning concepts to engineering challenges (e.g., anomaly detection, test optimization, intelligent testing).
Deep practical knowledge of Site Reliability Engineering (SRE) principles, chaos engineering, and advanced Observability tooling (e.g., OpenTelemetry, Prometheus, Tracing).
80,000 - 135,000 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Get personalized recommendations to optimize your resume specifically for Director, Distinguished Engineer (Card TECH). Takes only 15 seconds!
Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.
Answer 10 quick questions to check your fit for Director, Distinguished Engineer (Card TECH) @ Capital One.

No related jobs found at the moment.

© 2026 Pointers. All rights reserved.