Senior Full Stack Developer - Java, Angular

United Airlines•Chicago, IL

1d•$112,480 - $146,540

About The Position

United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions. The Senior Full Stack Developer will design, build, and support modern capabilities for Crew Pay, a business-critical pay platform. This role combines hands-on application development with cloud-native engineering across AWS, event-driven services, streaming, data processing, and relational databases. The successful candidate will deliver secure, resilient, observable, and maintainable solutions while partnering with product owners, engineers, architects, quality engineering, DevOps, and business stakeholders.

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience
4+ years of professional software development experience, including ownership of production applications
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

Nice To Haves

Experience supporting payroll, crew pay, financial, or other high-accuracy transaction-processing systems
Experience with Amazon MSK, EMR or EMR Serverless, Aurora MySQL, container orchestration, and serverless architectures
Knowledge of event schemas, data lineage, reconciliation, replay controls, and audit-trail design
Experience applying observability, performance engineering, cost optimization, and operational automation in AWS
Experience using AI-assisted development tools for requirements refinement, code generation, test creation, debugging, refactoring, documentation, or code review
Experience creating AI agents or agentic workflows using tools or frameworks such as LangChain, LangGraph, Model Context Protocols, retrieval-augmented generation, or similar patterns
Understanding of responsible AI practices, prompt and tool security, human-in-the-loop controls, evaluation, and production monitoring for AI-enabled solutions
Experience working in a product-centric Agile environment with outcome-based delivery and shared operational ownership

Responsibilities

Design, develop, test, deploy, and support end-to-end full stack features for the Pilot Pay product
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