Senior Full-Stack Engineer — Pay Platform, Cloud-Native

United Airlines; Chicago (IL); On-site; USD 112,000 - 147,000; Full time

Benefits offered by this job

Medical benefits

Flight privileges

Paid holidays

Paid time off

401(k)

Job summary

United Airlines is seeking a Senior Full Stack Developer to design, build, and support Crew Pay, a critical pay platform. You will work across AWS, event-driven processing, and data systems to deliver secure, observable solutions.

You will collaborate with product, engineering, and business stakeholders, mentor engineers, and contribute to CI/CD, testing, and production readiness. This role emphasizes resilience, scalability, and maintainable code while aligning with Agile practices and

Qualifications

• Bachelor's degree or equivalent practical experience.
• 4+ years of professional software development experience.
• Strong back-end development experience using Java, Python, or a comparable enterprise language and framework.
• Front-end development experience using a modern JavaScript or TypeScript framework such as React, Angular, or Vue.
• Hands-on experience with RESTful APIs, microservices, distributed systems, and asynchronous processing.
• Practical experience with AWS ECS/Fargate, Lambda, SQS, SNS, S3, and RDS.
• Experience developing event-driven solutions using Kafka or a comparable streaming platform.
• Experience building, troubleshooting, and optimizing Apache Spark jobs.
• Strong knowledge of SQL, relational data modeling, transactions, and performance tuning.
• Experience with infrastructure-as-code, CI/CD, source control, automated testing, and secure software development practices.
• Demonstrated ability to diagnose complex production issues across applications, messaging, data, and cloud infrastructure layers.
• Clear written and verbal communication skills, with the ability to work effectively across engineering and business teams.

Responsibilities

• Design, build, and support end-to-end full stack features for Crew Pay.
• Build cloud-native services using AWS ECS/Fargate, Lambda, SQS, SNS, S3, and RDS.
• Develop event-driven workflows that consume, process, publish, and replay business events reliably.
• Create and maintain Kafka producers, consumers, topics, schemas, error-handling patterns, and operational controls.
• Develop and optimize Apache Spark jobs for scalable data transformation and pay-processing workloads.
• Build responsive user experiences and secure APIs that provide clear business workflows, validation, and auditability.
• Engineer for resilience through idempotency, retry strategies, dead-letter handling, failure recovery, and graceful degradation.
• Implement automated unit, integration, component, regression, and end-to-end tests as part of CI/CD pipelines.
• Improve production readiness through logging, metrics, tracing, alerting, runbooks, and root-cause analysis.
• Participate in Agile delivery practices, code reviews, technical design discussions, estimation, and continuous improvement.
• Collaborate with product and business partners to translate complex pay rules into understandable, testable, and maintainable solutions.
• Mentor engineers and raise engineering standards for architecture, code quality, security, performance, and supportability.

Skills

Java

Python

React

Angular

Vue

REST APIs

Microservices

Kafka

Spark

SQL

AWS

CI/CD

IaC

Testing

Security

AWS

Spark

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field

Tools

AWS ECS/Fargate

Lambda

SQS

SNS

S3

RDS

Kafka

Spark

Aurora

SQL

Job description

United Airlines is seeking a Senior Full Stack Developer to design, build, and support Crew Pay, a critical pay platform. You will work across AWS, event-driven processing, and data systems to deliver secure, observable solutions.

You will collaborate with product, engineering, and business stakeholders, mentor engineers, and contribute to CI/CD, testing, and production readiness. This role emphasizes resilience, scalability, and maintainable code while aligning with Agile practices and