{"schemaVersion":"jobsearcher.job.v1","id":"3113ed7de9f1396d1b8abcc1","url":"https://jobsearcher.com/jobs/3113ed7de9f1396d1b8abcc1","canonicalUrl":"https://jobsearcher.com/jobs/3113ed7de9f1396d1b8abcc1","title":"Senior Full Stack Developer - Java, Angular","description":"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.\n\nCome join us to create what’s next. Let’s define tomorrow, together.\n\nDescription\n\nUnited'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.\n\nJob overview and responsibilities\n\nThe 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.\n\nDesign, develop, test, deploy, and support end-to-end full stack features for the Pilot Pay product\nBuild cloud-native services using AWS ECS/Fargate, Lambda, SQS, SNS, S3, and RDS\nDevelop event-driven workflows that consume, process, publish, and replay business events reliably\nCreate and maintain Kafka producers, consumers, topics, schemas, error-handling patterns, and operational controls\nDevelop and optimize Apache Spark jobs for scalable data transformation and pay-processing workloads\nBuild responsive user experiences and secure APIs that provide clear business workflows, validation, and auditability\nEngineer for resilience through idempotency, retry strategies, dead-letter handling, failure recovery, and graceful degradation\nImplement automated unit, integration, component, regression, and end-to-end tests as part of CI/CD pipelines\nImprove production readiness through logging, metrics, tracing, alerting, runbooks, and root-cause analysis\nParticipate in Agile delivery practices, code reviews, technical design discussions, estimation, and continuous improvement\nCollaborate with product and business partners to translate complex pay rules into understandable, testable, and maintainable solutions\nMentor engineers and raise engineering standards for architecture, code quality, security, performance, and supportability\n\nTechnical environment\n\nCloud and compute: AWS ECS/Fargate and Lambda\nMessaging and events: Kafka, SQS, and SNS\nData and storage: S3, RDS, Aurora, and SQL\nData processing: Apache Spark and EMR\nApplication development: Microservices, APIs, and modern web user interfaces\nEngineering: CI/CD, infrastructure-as-code, automated testing, and observability\nAI-enabled delivery: AI coding assistants, agents, and agentic workflows\n\nSuccess in this role\n\nDelivers reliable features that improve pay-processing accuracy, transparency, and operational efficiency\nReduces production risk through strong engineering controls, automated validation, and actionable observability\nImproves delivery speed and code quality through reusable patterns, automation, and responsible use of AI-assisted engineering\nTakes ownership from design through production support and continuously improves the product and engineering system\nQualifications\n\nWhat’s needed to succeed (Minimum Qualifications):\n\nBachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience\n4+ years of professional software development experience, including ownership of production applications\nStrong back-end development experience using Java, Python, or a comparable enterprise language and framework\nFront-end development experience using a modern JavaScript or TypeScript framework such as React, Angular, or Vue\nHands-on experience with RESTful APIs, microservices, distributed systems, and asynchronous processing\nPractical experience with AWS ECS/Fargate, Lambda, SQS, SNS, S3, and RDS\nExperience developing event-driven solutions using Kafka or a comparable streaming platform\nExperience building, troubleshooting, and optimizing Apache Spark jobs\nStrong knowledge of SQL, relational data modeling, transactions, and performance tuning\nExperience with infrastructure-as-code, CI/CD, source control, automated testing, and secure software development practices\nDemonstrated ability to diagnose complex production issues across applications, messaging, data, and cloud infrastructure layers\nClear written and verbal communication skills, with the ability to work effectively across engineering and business teams\n\nWhat will help you propel from the pack (Preferred Qualifications):\n\nExperience supporting payroll, crew pay, financial, or other high-accuracy transaction-processing systems\nExperience with Amazon MSK, EMR or EMR Serverless, Aurora MySQL, container orchestration, and serverless architectures\nKnowledge of event schemas, data lineage, reconciliation, replay controls, and audit-trail design\nExperience applying observability, performance engineering, cost optimization, and operational automation in AWS\nExperience using AI-assisted development tools for requirements refinement, code generation, test creation, debugging, refactoring, documentation, or code review\nExperience creating AI agents or agentic workflows using tools or frameworks such as LangChain, LangGraph, Model Context Protocols, retrieval-augmented generation, or similar patterns\nUnderstanding of responsible AI practices, prompt and tool security, human-in-the-loop controls, evaluation, and production monitoring for AI-enabled solutions\nExperience working in a product-centric Agile environment with outcome-based delivery and shared operational ownership\n\nThe base pay range for this role is $112,480.00 to $146,540.00.\nThe 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.\n\nYou 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.\n\nUnited 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","company":"United Airlines","rawCompany":"united airlines","city":"Chicago","state":"IL","isRemote":false,"isActive":true,"createdAt":"2026-10-05T13:13:54.136Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Full Stack Developer - Java, Angular","description":"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.\n\nCome join us to create what’s next. Let’s define tomorrow, together.\n\nDescription\n\nUnited'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.\n\nJob overview and responsibilities\n\nThe 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.\n\nDesign, develop, test, deploy, and support end-to-end full stack features for the Pilot Pay product\nBuild cloud-native services using AWS ECS/Fargate, Lambda, SQS, SNS, S3, and RDS\nDevelop event-driven workflows that consume, process, publish, and replay business events reliably\nCreate and maintain Kafka producers, consumers, topics, schemas, error-handling patterns, and operational controls\nDevelop and optimize Apache Spark jobs for scalable data transformation and pay-processing workloads\nBuild responsive user experiences and secure APIs that provide clear business workflows, validation, and auditability\nEngineer for resilience through idempotency, retry strategies, dead-letter handling, failure recovery, and graceful degradation\nImplement automated unit, integration, component, regression, and end-to-end tests as part of CI/CD pipelines\nImprove production readiness through logging, metrics, tracing, alerting, runbooks, and root-cause analysis\nParticipate in Agile delivery practices, code reviews, technical design discussions, estimation, and continuous improvement\nCollaborate with product and business partners to translate complex pay rules into understandable, testable, and maintainable solutions\nMentor engineers and raise engineering standards for architecture, code quality, security, performance, and supportability\n\nTechnical environment\n\nCloud and compute: AWS ECS/Fargate and Lambda\nMessaging and events: Kafka, SQS, and SNS\nData and storage: S3, RDS, Aurora, and SQL\nData processing: Apache Spark and EMR\nApplication development: Microservices, APIs, and modern web user interfaces\nEngineering: CI/CD, infrastructure-as-code, automated testing, and observability\nAI-enabled delivery: AI coding assistants, agents, and agentic workflows\n\nSuccess in this role\n\nDelivers reliable features that improve pay-processing accuracy, transparency, and operational efficiency\nReduces production risk through strong engineering controls, automated validation, and actionable observability\nImproves delivery speed and code quality through reusable patterns, automation, and responsible use of AI-assisted engineering\nTakes ownership from design through production support and continuously improves the product and engineering system\nQualifications\n\nWhat’s needed to succeed (Minimum Qualifications):\n\nBachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience\n4+ years of professional software development experience, including ownership of production applications\nStrong back-end development experience using Java, Python, or a comparable enterprise language and framework\nFront-end development experience using a modern JavaScript or TypeScript framework such as React, Angular, or Vue\nHands-on experience with RESTful APIs, microservices, distributed systems, and asynchronous processing\nPractical experience with AWS ECS/Fargate, Lambda, SQS, SNS, S3, and RDS\nExperience developing event-driven solutions using Kafka or a comparable streaming platform\nExperience building, troubleshooting, and optimizing Apache Spark jobs\nStrong knowledge of SQL, relational data modeling, transactions, and performance tuning\nExperience with infrastructure-as-code, CI/CD, source control, automated testing, and secure software development practices\nDemonstrated ability to diagnose complex production issues across applications, messaging, data, and cloud infrastructure layers\nClear written and verbal communication skills, with the ability to work effectively across engineering and business teams\n\nWhat will help you propel from the pack (Preferred Qualifications):\n\nExperience supporting payroll, crew pay, financial, or other high-accuracy transaction-processing systems\nExperience with Amazon MSK, EMR or EMR Serverless, Aurora MySQL, container orchestration, and serverless architectures\nKnowledge of event schemas, data lineage, reconciliation, replay controls, and audit-trail design\nExperience applying observability, performance engineering, cost optimization, and operational automation in AWS\nExperience using AI-assisted development tools for requirements refinement, code generation, test creation, debugging, refactoring, documentation, or code review\nExperience creating AI agents or agentic workflows using tools or frameworks such as LangChain, LangGraph, Model Context Protocols, retrieval-augmented generation, or similar patterns\nUnderstanding of responsible AI practices, prompt and tool security, human-in-the-loop controls, evaluation, and production monitoring for AI-enabled solutions\nExperience working in a product-centric Agile environment with outcome-based delivery and shared operational ownership\n\nThe base pay range for this role is $112,480.00 to $146,540.00.\nThe 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.\n\nYou 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.\n\nUnited 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","datePosted":"2026-10-05T13:13:54.136Z","dateModified":"2026-10-05T13:13:54.136Z","hiringOrganization":{"@type":"Organization","name":"United Airlines","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chicago","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"3113ed7de9f1396d1b8abcc1"},"url":"https://jobsearcher.com/jobs/3113ed7de9f1396d1b8abcc1"}}