Cloud DevOps Engineer at Southwest Airlines

, , India -

Full Time

Start Date

Immediate

Expiry Date

17 Aug, 26

Salary

0.0

Posted On

19 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AWS, CI/CD, Infrastructure as Code, Docker, Terraform, CloudFormation, Kubernetes, EKS, ECS, Python, Monitoring Tools, Cloud Security, DevOps, Automation, ML Pipelines, Observability

Industry

Airlines and Aviation

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. Job Description: 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 event-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. Please print/save this job description because it won't be available after you apply.

Responsibilities

Design, build, and operate cloud automation and CI/CD pipelines to support AI and machine learning platforms. Collaborate with security and architecture teams to implement infrastructure as code and cloud guardrails for stability and compliance.