Senior Full-Stack Engineer | FinTech AI, Microservices

SEI

Chicago (IL)

Hybrid

USD 130,000 - 150,000

Full time

46 hours ago
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Benefits offered by this job

Healthcare
401(k) match
Paid time off
Tuition reimbursement
Parental leave

Job summary

SEI in Chicago, IL, is seeking a Senior Full Stack Software Engineer to build cutting-edge FinTech solutions. You will write code across all tiers using Angular, TypeScript, JavaScript, Golang and Node.js, and contribute to a multi‑tier, cloud‑based platform while aligning with engineering best practices.

You will collaborate with product managers, testers and external API teams in an Agile environment, apply TD/CI practices, and leverage AI tooling.

Qualifications

  • Bachelor's degree in Computer Science or related field.
  • Minimum of 7 years of experience building multi-tier cloud-based applications.
  • Experience with Java or Golang, JavaScript/TypeScript, HTML, Angular, Snaplogic, Kafka and Node.js.
  • Hands-on coding with AI tooling such as Codex, Windsurf or Claude Code.
  • Strong Agile practices (TDD, continuous delivery) and cybersecurity awareness.

Responsibilities

  • Write code across all tiers using Angular, TypeScript, JavaScript, Golang and Node.js.
  • Develop RESTful APIs in an event-driven microservice architecture.
  • Participate in design meetings and Agile ceremonies with the team.
  • Collaborate with product managers, testers and 3rd party API teams.

Skills

Angular
TypeScript
JavaScript
Golang
Node.js
REST APIs
Cloud-based solutions

Education

Bachelor's Degree in Computer Science or related field

Tools

Snaplogic
Kafka
Codex
Windsurf
Claude Code

Job description

SEI in Chicago, IL, is seeking a Senior Full Stack Software Engineer to build cutting-edge FinTech solutions. You will write code across all tiers using Angular, TypeScript, JavaScript, Golang and Node.js, and contribute to a multi‑tier, cloud‑based platform while aligning with engineering best practices.

You will collaborate with product managers, testers and external API teams in an Agile environment, apply TD/CI practices, and leverage AI tooling.

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