Job Description

Department:

Technology

Our Company Promise

We are committed to provide our Employees a stable work environment with equal opportunity for learning and personal growth. Creativity and innovation are encouraged for improving the effectiveness of Southwest Airlines. Above all, Employees will be provided the same concern, respect, and caring attitude within the organization that they are expected to share externally with every Southwest Customer.

As a Cloud DevOps Engineer Global supporting Southwest’s AI Platforms Pod, you’ll help design, build, and operate the cloud automation that enables Teams across the Company to develop, deploy, and scale AI and machine‑learning solutions safely and efficiently. This role focuses on creating standardized CI/CD pipelines, Infrastructure as Code, and cloud guardrails that improve platform stability, security, and compliance while accelerating delivery. You’ll work hands‑on with AWS services, container platforms, and deployment tooling to optimize build and release pipelines for speed, reliability, and cost efficiency across environments. Partnering closely with Application, Security, and Architecture Teams, you’ll also strengthen Developer enablement through reusable templates, golden paths, and clear documentation. This role offers the opportunity to shape the cloud foundation that powers Southwest’s AI platforms—balancing innovation with the reliability Teams need to build and operate confidently at scale.Responsibilities

• Operate in a DevOps culture and team, responsible for architecture, design, development, implementation, and ongoing operations of new and emerging technology platforms
• Implement automation tools and frameworks for automatic code deployment (CI/CD)
• Lead the design, development, and evolution of cloud infrastructure
• Establish and/or follow procedures and standards to ensure high quality and quantity of work
• Establish or follow prioritization processes to drive work and has a sense of urgency about getting work completed
• Consult with stakeholders to specify requirements and solutions which address business challenges and opportunities
• Serve as a subject matter expert in cloud infrastructure, performing design reviews and consulting with your teams to ensure design best practices
• Maintain business continuity and disaster recovery processes
• Participate in system and acceptance testing to ensure that systems are functionally appropriate, technically sound, and well-integrated
• Test and implement system and enhancements using techniques that preserve system integrity
• May perform other job duties as directed by Employee's Leaders

Knowledge, Skills and Abilities

• Knowledge of AWS Infrastructure as a Service Automation tools like Cloud Formation
• Knowledge of AWS compute, data sources, security technologies
• Knowledge of infrastructure-as-code (IAC)
• Skilled in deployment strategies using Docker for containerization
• Skilled in monitoring tools
• Ability to mentor and guide team members' learning, including introducing new ideas and technologies
• Ability to anticipate business needs and lead a team towards identifying and solving cross-domain problems

Education

• Required: Bachelor's degree in Computer Science, Engineering, Information Systems or related field and/or equivalent formal training

Experience

• Required: Intermediate-level experience, fully functioning broad knowledge in Cloud software or DevOps
  • 2-5 years of relevant work-related experience
  • Experience with CI/CD engineering (pipelines, testing gates, release automation)
  • Experience with Infrastructure as Code (Terraform/CDK/CloudFormation) + environment management
  • Knowledge of AWS operations fundamentals (IAM, VPC, S3, compute) and security basics
  • Experience with container build/release (Docker, ECR) and orchestration basics (EKS/ECS)
  • Experience with observability and deployment diagnostics (logs/metrics/traces)
  • Experience with developer enablement: templates, golden paths, documentation
• Preferred:
  • Knowledge of secrets and key management best practices
  • Familiarity with FinOps tooling/chargeback models
  • Experience with e vent-driven automation (ChatOps, webhooks)
  • Experience with policy-as-code (OPA, AWS Config rules concepts) and compliance automation
  • Experience with ML pipelines (SageMaker Pipelines) or model deployments

Other Qualifications

• Must meet confidentiality expectations as to confidential, proprietary and sensitive Company information
• Ability to work extended hours as needed

Southwest Airlines is an Equal Opportunity Employer.
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