Senior Full Stack Developer - Java, Angular

Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network.

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Description

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.

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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.

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

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Technical environment

Cloud and compute: AWS ECS/Fargate and Lambda

Messaging and events: Kafka, SQS, and SNS

Data and storage: S3, RDS, Aurora, and SQL

Data processing: Apache Spark and EMR

Application development: Microservices, APIs, and modern web user interfaces

Engineering: CI/CD, infrastructure-as-code, automated testing, and observability

AI-enabled delivery: AI coding assistants, agents, and agentic workflows

Success in this role

Delivers reliable features that improve pay-processing accuracy, transparency, and operational efficiency

Reduces production risk through strong engineering controls, automated validation, and actionable observability

Improves delivery speed and code quality through reusable patterns, automation, and responsible use of AI-assisted engineering

Takes ownership from design through production support and continuously improves the product and engineering system

Qualifications

What’s needed to succeed (Minimum Qualifications):

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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

What will help you propel from the pack (Preferred Qualifications):

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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

The base pay range for this role is $112,480.00 to $146,540.00. The base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards.

You may be eligible for the following competitive benefits: medical, dental, vision, life, accident & disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges.

United Airlines is an Equal Opportunity Employer. We recruit, employ, train, compensate, and promote without regard to race, color, religion, national origin, gender identity, sexual orientation, disability, age, veteran status, or any other protected category under applicable law. We provide reasonable accommodations for applicants and employees with disabilities. To request an accommodation, contact JobAccommodations@united.com