Full-stack Engineer 4 (Manager, IC)

Description

This Full-stack Engineer 4 role is listed as Manager, IC.

The Risk Tech team builds data-driven tools that apply machine learning to prevent risks and catch problems early, protecting customers, the business and communities.

You will work with the GRC team and partners across the company to build and ship proprietary risk management solutions powered by current AI technology.

The team is looking for full-stack engineers who enjoy new open source frameworks and emerging technology, and who like solving complex business problems in a collaborative, iterative environment.

Responsibilities

• Lead a set of varied technology projects and a team of developers who have deep experience with distributed microservices and full-stack systems, building solutions that meet the company's regulatory needs.
• Keep up with technology trends, try and learn new tools, take part in internal and external tech communities, and mentor other engineers.
• Work with digital product managers to deliver robust cloud-based solutions that give millions of Americans better control of their finances.
• Work with languages such as Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, open source relational and NoSQL databases, Docker and Kubernetes container orchestration, and a range of AWS services.
• Give technical direction across Agile teams and set standards for design, development and operational excellence.
• Work with architects to define service boundaries, integration patterns and reusable frameworks.
• Spot areas for improvement, carry out targeted refactoring, and help reduce technical debt and improve system performance.
• Shape long-term technology strategy by evaluating new tools and practices, working in a model where teams own what they build.

Requirements

• Bachelor's degree or higher in Computer Science or a related quantitative field such as Statistics, Economics, Operations Research, Analytics, Mathematics or Engineering.
• At least 4 years of software engineering experience. Internships do not count.
• At least 2 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies.
• Preferred: Master's degree in Computer Science or a related field.
• Preferred: 7+ years of coding in at least three of Go, Java, JavaScript/TypeScript, Python, Rust, C and Scala.
• Preferred: 3+ years working with databases and database management systems.
• Preferred: 3+ years with AWS, GCP, Azure, cloud-based productivity tools or virtualization technologies.
• Preferred: 4+ years contributing to open source frameworks.
• Preferred: 3+ years with front-end JavaScript or TypeScript frameworks.
• Preferred: 4+ years building synchronous and asynchronous APIs.
• Preferred: 3+ years with CI/CD pipelines, infrastructure as code and automated testing frameworks.
• Preferred: 3+ years using Git-based version control such as Git, GitHub or Bitbucket.
• Preferred: 3+ years troubleshooting technical issues in cloud environments.
• Preferred: Experience with modern AI-based coding tools and IDE copilots.
• Preferred: 1+ year mentoring engineers and supporting their professional growth on technical teams.
• Preferred: 1+ year using observability to find and fix performance bottlenecks in distributed systems.
• Preferred: Experience with interactive AI tools that boost productivity beyond basic code completion.
• Preferred: Experience leading cross-functional engineering efforts or large-scale technical initiatives.
• Preferred: Experience setting and enforcing coding standards and design patterns across teams.
• The company will not sponsor new applicants for employment authorization or provide any immigration-related support for this position, including H-1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, O-1, or any other work authorization that requires employer immigration support.

Conditions

New York, NY base salary is $215,200 to $245,600 for this role. Pay in other locations follows that location's range, and the exact salary appears in the offer letter.

Part-time pay is prorated based on the agreed number of regular hours.

The role may earn performance-based incentive pay, which can include cash bonuses and/or long-term incentives, and may be discretionary or non-discretionary depending on the plan.

Applications will be accepted for at least 5 business days.

Agencies should not submit candidates.

Roles posted in Canada are with the Canadian entity, roles in the UK are with the European entity, and roles in the Philippines are with the Philippine services entity.

The company is an equal opportunity employer and considers applicants with criminal histories in line with applicable law.

Benefits

• Comprehensive, competitive health, financial and other benefits that support overall well-being.
• Benefit eligibility depends on full-time or part-time status, exempt or non-exempt classification, and management level.