Full-stack Engineer 4 (Distributed data & AWS) (Cloud Operations Resilience Engineering)

Full-stack Engineer 4 (Distributed data & AWS) (Cloud Operations Resilience Engineering)

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who solve real problems and meet real customer needs. We are seeking Full-stack Engineers who are passionate about leveraging cutting-edge open source frameworks and emerging technologies. In this role, you’ll be at the forefront of driving a major transformation across Capital One.

The Cloud Operations Resilience Engineering (CORE) Technology division is responsible for enabling and evolving Capital One’s foundational cloud infrastructure layer, including observability, connectivity, resilience and availability.

What You’ll Do

Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company

Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community

Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment

Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services

Provide technical leadership and direction across Agile teams, setting standards for design, development, and operational excellence

Partner with architects to define service boundaries, integration patterns, and reusable frameworks

Proactively identify areas for improvement, implementing targeted refactoring and contributing to efforts that reduce technical debt and enhance system performance

Influence long-term technology strategy through evaluation of emerging tools and practices in a ‘you build it, you own it’ environment

Basic Qualifications

Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)

At least 4 years of experience in software engineering (Internship experience does not apply)

At least 2 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies

Preferred Qualifications

Master’s Degree in Computer Science or a related quantitative field.

7+ years of experience coding with two or more of the following: Go, Java, JavaScript/TypeScript, Python, Rust, C#, or Scala.

4+ years of experience creating synchronous and asynchronous APIs.

4+ years of experience with public cloud platforms (AWS, Microsoft Azure, Google Cloud), including cloud-based productivity tools, virtualization, and troubleshooting technical issues.

4+ years of experience with distributed data/computing tools (e.g., MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL).

4+ years of experience building real-time data and streaming applications.

3+ years of experience with database design and database management systems (DBMS).

4+ years of experience using and contributing to open-source frameworks.