Full-stack Engineer 5 (Senior Manager, IC)-EDT
$229.9k - $262.4kCapital One
Full-stack Engineer 5 (Senior Manager, IC)-EDT 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 Software 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. Enterprise Data Tech (EDT) is responsible for managing data technology, platforms, and experiences across Capital One. Our core mission is to make data easy to find, use, understand, govern, and protect throughout the complex end to end data lifecycle.This foundation is built on key platforms that manage Capital One'sData Pipeline, including data storage, and access. Looking ahead, our imperatives are centered on evolving our capabilities for the AI world and strategically expanding Capital One's data platforms. 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 across multiple teams, shaping system architecture and long-term technology direction
- Drive end-to-end design and implementation of large-scale, distributed, or cloud-native systems with high reliability and performance requirements
- Partner with architects and product leaders to define platform roadmaps and shared services strategy
- Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
- At least 6 years of experience in software engineering (Internship experience does not apply)
- At least 3 years of experience with public cloud platforms (AWS, Google Cloud Platform, Azure), cloud-based productivity tools, or virtualization technologies
- Master's Degree in Computer Science or a related field
- 9+ years of experience coding with more than two of the following: Go, Java, JavaScript/TypeScript, Python, Rust, C#, Scala
- 5+ years of experience contributing to open source frameworks
- 5+ years of experience creating synchronous and asynchronous APIs
- 4+ years of experience with database and database management systems
- 4+ years of experience with AWS, Google Cloud Platform, Azure, or cloud-based productivity tools or virtualization technologies
- 4+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks
- 4+ years of experience using Git-based version-control systems (e.g., Git, GitHub, Bitbucket)
- 4+ years of experience troubleshooting technical issues within cloud environments
- 3+ years of experience mentoring senior engineers and driving professional development within technical teams
- 2+ years of experience leveraging observability to identify and optimize performance bottlenecks in distributed systems
- 1+ year of experience leading architectural design reviews and influencing enterprise-wide technical standards and methodologies
- 1+ year of experience establishing and enforcing coding standards and design patterns across teams
- 1+ year of experience implementing observability and reliability practices at scale
- Experience leveraging modern AI-based coding tools and IDE copilots
- Experience influencing technology strategy at the portfolio or business unit level
- Experience with interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion
- Experience leading cross-functional engineering efforts or large-scale technical initiatives
Vacancy posted 9 hours ago
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