Description
We are seeking a Full-stack Engineer 4 to join our Cloud Operations Resilience Engineering (CORE) Technology division. As a Full-stack Engineer, you will 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.
Responsibilities:
- 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
- 3+ years of experience with CI/CD pipelines, Infrastructure as Code (IaC), and automated testing frameworks
- 3+ years of experience using Git-based version control systems (e.g., Git, GitHub, Bitbucket)
- 1+ years of experience leveraging observability platforms to identify and optimize performance bottlenecks in distributed systems
- 1+ years of experience mentoring engineers and driving professional development within technical teams
- Experience leveraging modern, interactive AI tooling, IDE copilots, and AI-based coding assistants to accelerate productivity beyond basic code completion
- Experience leading cross-functional engineering efforts or large-scale technical initiatives
- Experience establishing and enforcing coding standards and design patterns across engineering teams
The minimum and maximum full-time annual salaries for this role are: McLean, VA: $197,300 - $225,100 for Full-stack Engineer 4 Plano, TX: $179,400 - $204,700 for Full-stack Engineer 4 Richmond, VA: $179,400 - $204,700 for Full-stack Engineer 4
This role is also eligible to earn performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI).