Full-stack Engineer 4

Description

The Global Payment Network Technology group runs critical payments infrastructure that handles global transaction processing.

Within it, the Digital Payments group modernizes digital payments to cut down fraud and protect everyone involved in payments. The team issues digital credentials for cardholders, supporting Digital Wallets and Stored Payment Tokens, and focuses on tokenization, detokenization, domain restriction controls, authentication, and fraud.

The role centers on designing and running highly available, scalable payment systems at global scale. The work is collaborative and iterative, and the company is driving a major transformation across the business.

Responsibilities

• Lead a set of varied technology projects and a team of developers experienced in distributed microservices and full-stack systems, building solutions that meet the company's regulatory needs.
• Keep up with technology trends, test and learn new tools, take part in internal and external technology communities, and mentor other engineers.
• Work with digital product managers to deliver resilient cloud-based solutions that give millions of Americans better access to financial empowerment.
• Work with languages and tools including Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, open source RDBMS 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.
• Find areas to improve, make targeted refactors, and help reduce technical debt and improve system performance.
• Shape long-term technology strategy by evaluating new tools and practices, in an environment where teams build and own what they ship.

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. Internship experience does 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 experience in more than two of the following: Go, Java, JavaScript/TypeScript, Python, Rust, C, Scala.
• Preferred: 3+ years working with databases and database management systems.
• Preferred: 3+ years with AWS, GCP, Azure, or 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 creating 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 using modern AI-based coding tools and IDE copilots.
• Preferred: 1+ year mentoring engineers and supporting professional development within technical teams.
• Preferred: 1+ year using observability to find and fix performance bottlenecks in distributed systems.
• Preferred: Experience using interactive AI tools to 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.

Conditions

The company will not sponsor a new applicant 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.

Full-time annual salary: Chicago, IL and Riverwoods, IL: $179,400 - $204,700 for Full-stack Engineer 4.

Pay for candidates hired in other locations follows that location's range, and the exact salary is stated in the offer letter.

Part-time salaries are prorated based on the agreed number of regular hours.

Applications will be accepted for at least 5 business days.

No agencies. Equal opportunity employer (EOE, including disability and veteran status). The company promotes a drug-free workplace and considers applicants with criminal histories in line with applicable laws.

Benefits

• Eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI). Incentives may be discretionary or non-discretionary depending on the plan.
• Comprehensive health, financial, and other benefits. Eligibility depends on full- or part-time status, exempt or non-exempt status, and management level.