Senior Backend Architect - Spark & AI Data Platforms

Capital One Group; McLean (VA); On-site; USD 197,000 - 225,000; Full time

Job summary

Capital One in McLean, VA is seeking a Lead Back End Software Engineer to drive architecture, development, and scaling of core data infrastructure using Java, Apache Spark, Scala, and Spring Boot.

You will lead a team of back-end and data engineers, design robust, scalable data pipelines, and deliver low-latency, highly available systems. This role involves AI-enabled development, integrating AI tools and LLM interfaces, optimizing cloud architectures on AWS, and mentoring other engineers.

Qualifications

• Bachelor’s Degree in a relevant field.
• At least 4 years of professional software engineering experience.
• At least 1 year of cloud computing experience (AWS, Azure, Google Cloud).
• 7+ years of professional engineering experience using Java/Scala/Python/Go.
• 4+ years of SQL/NoSQL database experience.
• 3+ years of cloud experience (AWS, Azure, or Google Cloud).
• 3+ years of experience with open source frameworks.
• Proficiency with AI-native development tools.

Responsibilities

• Architect & Build: lead a portfolio of projects and design robust, scalable data pipelines and microservices.
• Scale for billions: ingests, processes, and serves billions of data points with low latency.
• AI-Enhanced Development: integrate AI coding assistants into daily workflows and testing.
• AI & LLM Integration: design APIs interfacing with AI/ML models and LLM endpoints.
• Technical Leadership: mentor engineers and enforce coding best practices.
• Cloud & Data Optimization: leverage AWS services to build cost-efficient cloud architectures.
• System Reliability: monitor, alert, and ensure zero-downtime deployments.

Skills

Team leadership

Architectural design

AI tool integration

Education

Bachelor's Degree

Master's Degree

Tools

Java

Apache Spark

Scala

Spring Boot

AWS

Job description

Capital One in McLean, VA is seeking a Lead Back End Software Engineer to drive architecture, development, and scaling of core data infrastructure using Java, Apache Spark, Scala, and Spring Boot.

You will lead a team of back-end and data engineers, design robust, scalable data pipelines, and deliver low-latency, highly available systems. This role involves AI-enabled development, integrating AI tools and LLM interfaces, optimizing cloud architectures on AWS, and mentoring other engineers.