{"id":3373966,"url":"https://alion.io/job/united-airlines-developer-information-technology","title":"Developer - Information Technology","company":{"id":18409,"name":"United Airlines","domain":"united.com","url":"https://alion.io/company/united","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"A","score":100,"open_postings":21,"ghost_share":0,"stale_share":0.19,"repost_share":0.048,"time_to_fill_p50_days":8,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chicago, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":89965,"max":117212,"currency":"USD","period":"year","gross":null,"usd_annual":117212},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon EventBridge","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"DynamoDB","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"Go","optional":false},{"name":"GraphQL","optional":false},{"name":"gRPC","optional":false},{"name":"IAM","optional":false},{"name":"Java","optional":false},{"name":"Kong","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Node JS","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SOAP","optional":false},{"name":"SQL","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Oracle","optional":true},{"name":"Oracle ERP","optional":true}],"status":"live","first_seen_at":"2026-10-27T00:00:00Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-29T20:59:23Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"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.Come join us to create what’s next. Let’s define tomorrow, together.\nDescription\nPosition Summary\nWe are seeking a Software Engineer to design, build, and support cloud native services, APIs, and AI enabled capabilities across our enterprise application portfolio. This is a hands on engineering role for someone who writes production code, owns delivery end to end, and raises the engineering bar for the teams around them.\nYou will build the services and interfaces that connect cloud, SaaS, ERP, and internally developed applications, develop reusable platform capabilities that other engineering teams build on, and help application teams adopt them. You will also build AI enabled features, including services backed by large language models, tool calling, and agentic workflows.\nThe role supports Procurement and other enterprise portfolios, and contributes to our broader cloud, API, event driven, and AI objectives.\nKey Responsibilities\nDesign, develop, test, deploy, and support production services on AWS, including APIs, event driven components, message flows, background processing, and data interfaces connecting cloud, SaaS, ERP, and internal applications\nOwn complex technical initiatives end to end: requirements, solution design, build, test, deployment, stabilization, and ongoing support\nBuild reusable services, components, frameworks, and implementation patterns that other application teams consume, reducing one off point to point interfaces and improving delivery consistency\nProvide technical guidance to application teams adopting shared platform services, reviewing their designs, resolving dependencies, and holding them to security and engineering standards\nBuild and extend AI enabled capabilities, including integration with large language model APIs, structured output handling, tool and function calling, retrieval, evaluation, and guardrails\nWrite clean, secure, well tested, well documented code. Lead design and code reviews and hold a high quality bar\nEstablish and promote engineering standards for API design, messaging, data transformation, exception handling, retries, idempotency, reconciliation, logging, monitoring, and operational support\nContribute to platform architecture, API lifecycle management, system design, scalability, resiliency, observability, and technology roadmaps\nUse AI assisted development tools fluently to accelerate delivery, while independently reviewing and validating everything they produce against our engineering, security, privacy, and quality standards\nTroubleshoot complex production issues across services, APIs, messaging, databases, and cloud infrastructure. Perform root cause analysis and implement permanent fixes\nContribute to CI/CD pipelines, automated testing, deployment automation, infrastructure as code, and observability tooling\nProvide technical direction and mentorship. Communicate design decisions and tradeoffs clearly to engineers, architects, product partners, and leadership\nWork closely with product, architecture, security, infrastructure, DevOps, QA, business application, and vendor teams to turn functional and non functional requirements into working systems\nQualifications\nRequired Qualifications\nBachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field, or an equivalent combination of education and experience\n2or more years of hands on experience building, deploying, and supporting production software, backend services, or APIs\nDemonstrated experience delivering cloud native solutions on a major public cloud, with meaningful depth in AWS\nExperience building services and interfaces that connect multiple systems, including SaaS, cloud, packaged, ERP, and internally developed applications\nExperience supporting large scale, business critical production systems, including on call or production support responsibility\nProven ability to independently lead complex technical work across multiple systems and cross functional teams\nStrong engineering judgement, with experience leading design and code reviews, setting standards, and mentoring other engineers\nStrong troubleshooting and root cause analysis skills across application code, APIs, messaging, databases, and cloud infrastructure\nExcellent written and verbal communication, with the ability to explain technical decisions, alternatives, risks, and tradeoffs to both engineers and non engineers\nExperience in a fast paced Agile environment balancing new delivery, production support, and modernization work at the same time\nRequired Technical Skills\nCloud Engineering on AWS\nHands on experience building and operating services on AWS, including compute (Lambda, ECS, EKS, or EC2), storage (S3), messaging (SQS, SNS, EventBridge, or Kafka), and managed databases (RDS or DynamoDB)\nExperience with AWS identity and security fundamentals: IAM, roles and policies, secrets management, encryption, and network basics such as VPC, security groups, and private connectivity\nExperience with scaling, resiliency, failure handling, and cloud cost awareness\nExperience with CloudWatch or comparable tooling for logs, metrics, and alerting\nAPIs and Distributed Services\nStrong experience designing, building, and versioning REST APIs, with solid command of JSON, XML, HTTP semantics, and API contracts. Experience with SOAP, gRPC, or GraphQL is useful\nExperience with API gateways such as AWS API Gateway, Kong, or Apigee\nStrong understanding of synchronous and asynchronous patterns, event driven architecture, microservices, distributed systems, idempotency, retries, and fault tolerance\nExperience with API security and authentication patterns, including OAuth 2.0, JWT, mutual TLS, certificates, secrets handling, and service to service authorisation\nExperience with data mapping, transformation, validation, routing, orchestration, exception handling, and reconciliation\nExperience with message brokers and queues, and with file based data exchange patterns such as SFTP or S3 driven ingestion pipelines\nExperience building services designed for reuse by other teams, with clear contracts, documentation, and backward compatibility\nSoftware Engineering\nStrong proficiency in at least one backend language: Python, Java, C#, Node.js or TypeScript, or Go\nStrong SQL and relational database skills. Exposure to NoSQL where relevant\nGit based workflows, automated testing, CI/CD pipelines, deployment automation, and release management\nInfrastructure as code using Terraform, CloudFormation, CDK, or comparable tooling\nAbility to produce clear technical designs, interface specifications, runbooks, and architecture diagrams\nAI Engineering\nHands on experience building software that uses large language models through APIs, including prompt design, structured and schema enforced outputs, streaming, token and cost management, and error handling\nExperience with tool calling or function calling patterns, where a model invokes application code under defined constraints\nUnderstanding of retrieval approaches, including embeddings, vector search, and grounding model output in trusted data\nAwareness of how to evaluate AI features: test sets, measuring accuracy, regression testing when prompts or models change, and handling non deterministic behavior\nPractical understanding of AI guardrails, including input validation, prompt injection risk, output verification, and keeping humans in the loop where decisions carry consequence\nFluent use of AI assisted development tools for code, tests, documentation, and review, with the discipline to review and verify everything generated\nPreferred Qualifications\nExperience with agent orchestration patterns or frameworks, and with multi step workflows involving planning and tool use\nFamiliarity with Model Context Protocol or comparable governed approaches to exposing tools and data to models\nExperience with Kafka, Solace, or equivalent brokers, and with protocol adapters or translation between legacy and modern interfaces\nExperience with change data capture and real time replication, for example AWS DMS or comparable tooling\nExperience with schema and contract management for APIs, messages, and events\nExperience with distributed tracing, operational dashboards, and platform observability\nExperience working in SOX, PCI, or similarly regulated environments\nExperience integrating with enterprise platforms such as Oracle E Business Suite, Oracle Fusion Cloud ERP, Oracle Integration Cloud, Workday, Coupa, Concur, Quantum Treasury, or comparable systems\nExperience supporting Finance, Accounting, Procurement, Treasury, Projects, or Supply Chain business processes\nExperience mentoring engineers and supporting teams adopting shared platform services\nThe base pay range for this role is $89,965.00 to $117,212.00.\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.\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.\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. 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