Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

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.

Description

Position Summary

We 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.

You 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.

The role supports Procurement and other enterprise portfolios, and contributes to our broader cloud, API, event driven, and AI objectives.

Key Responsibilities

Design, 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

Own complex technical initiatives end to end: requirements, solution design, build, test, deployment, stabilization, and ongoing support

Build reusable services, components, frameworks, and implementation patterns that other application teams consume, reducing one off point to point interfaces and improving delivery consistency

Provide technical guidance to application teams adopting shared platform services, reviewing their designs, resolving dependencies, and holding them to security and engineering standards

Build and extend AI enabled capabilities, including integration with large language model APIs, structured output handling, tool and function calling, retrieval, evaluation, and guardrails

Write clean, secure, well tested, well documented code. Lead design and code reviews and hold a high quality bar

Establish and promote engineering standards for API design, messaging, data transformation, exception handling, retries, idempotency, reconciliation, logging, monitoring, and operational support

Contribute to platform architecture, API lifecycle management, system design, scalability, resiliency, observability, and technology roadmaps

Use AI assisted development tools fluently to accelerate delivery, while independently reviewing and validating everything they produce against our engineering, security, privacy, and quality standards

Troubleshoot complex production issues across services, APIs, messaging, databases, and cloud infrastructure. Perform root cause analysis and implement permanent fixes

Contribute to CI/CD pipelines, automated testing, deployment automation, infrastructure as code, and observability tooling

Provide technical direction and mentorship. Communicate design decisions and tradeoffs clearly to engineers, architects, product partners, and leadership

Work closely with product, architecture, security, infrastructure, DevOps, QA, business application, and vendor teams to turn functional and non functional requirements into working systems

Qualifications

Required Qualifications

Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field, or an equivalent combination of education and experience

2 or more years of hands on experience building, deploying, and supporting production software, backend services, or APIs

Demonstrated experience delivering cloud native solutions on a major public cloud, with meaningful depth in AWS

Experience building services and interfaces that connect multiple systems, including SaaS, cloud, packaged, ERP, and internally developed applications

Experience supporting large scale, business critical production systems, including on call or production support responsibility

Proven ability to independently lead complex technical work across multiple systems and cross functional teams

Strong engineering judgement, with experience leading design and code reviews, setting standards, and mentoring other engineers

Strong troubleshooting and root cause analysis skills across application code, APIs, messaging, databases, and cloud infrastructure

Excellent written and verbal communication, with the ability to explain technical decisions, alternatives, risks, and tradeoffs to both engineers and non engineers

Experience in a fast paced Agile environment balancing new delivery, production support, and modernization work at the same time

Required Technical Skills

Cloud Engineering on AWS

Hands 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)

Experience with AWS identity and security fundamentals: IAM, roles and policies, secrets management, encryption, and network basics such as VPC, security groups, and private connectivity

Experience with scaling, resiliency, failure handling, and cloud cost awareness

Experience with CloudWatch or comparable tooling for logs, metrics, and alerting

APIs and Distributed Services

Strong 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

Experience with API gateways such as AWS API Gateway, Kong, or Apigee

Strong understanding of synchronous and asynchronous patterns, event driven architecture, microservices, distributed systems, idempotency, retries, and fault tolerance

Experience with API security and authentication patterns, including OAuth 2.0, JWT, mutual TLS, certificates, secrets handling, and service to service authorisation

Experience with data mapping, transformation, validation, routing, orchestration, exception handling, and reconciliation

Experience with message brokers and queues, and with file based data exchange patterns such as SFTP or S3 driven ingestion pipelines

Experience building services designed for reuse by other teams, with clear contracts, documentation, and backward compatibility

Software Engineering

Strong proficiency in at least one backend language: Python, Java, C#, Node.js or TypeScript, or Go

Strong SQL and relational database skills. Exposure to NoSQL where relevant

Git based workflows, automated testing, CI/CD pipelines, deployment automation, and release management

Infrastructure as code using Terraform, CloudFormation, CDK, or comparable tooling

Ability to produce clear technical designs, interface specifications, runbooks, and architecture diagrams

AI Engineering

Hands 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

Experience with tool calling or function calling patterns, where a model invokes application code under defined constraints

Understanding of retrieval approaches, including embeddings, vector search, and grounding model output in trusted data

Awareness of how to evaluate AI features: test sets, measuring accuracy, regression testing when prompts or models change, and handling non deterministic behavior

Practical understanding of AI guardrails, including input validation, prompt injection risk, output verification, and keeping humans in the loop where decisions carry consequence

Fluent use of AI assisted development tools for code, tests, documentation, and review, with the discipline to review and verify everything generated

Preferred Qualifications

Experience with agent orchestration patterns or frameworks, and with multi step workflows involving planning and tool use

Familiarity with Model Context Protocol or comparable governed approaches to exposing tools and data to models

Experience with Kafka, Solace, or equivalent brokers, and with protocol adapters or translation between legacy and modern interfaces

Experience with change data capture and real time replication, for example AWS DMS or comparable tooling

Experience with schema and contract management for APIs, messages, and events

Experience with distributed tracing, operational dashboards, and platform observability

Experience working in SOX, PCI, or similarly regulated environments

Experience 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

Experience supporting Finance, Accounting, Procurement, Treasury, Projects, or Supply Chain business processes

Experience mentoring engineers and supporting teams adopting shared platform services

The base pay range for this role is $89,965.00 to $117,212.00. 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