Cloud DevOps Engineer - Agentic 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, Devops, Ci/Cd, Infrastructure As Code, Docker, Kubernetes, Terraform, Cloudformation, Eks, Ecs, Lambda, Observability, Finops, Llm, Agentic Ai, Sre

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 the Agentic AI – ETO Support Pod, you’ll help design, build, and operate the cloud platforms that host intelligent AI agents for enterprise and back‑office Technology Teams. This role focuses on delivering secure, scalable, and cost‑effective AWS‑native infrastructure that supports LLM and agentic workloads in real production environments. You’ll work hands‑on with CI/CD pipelines, Infrastructure as Code, container platforms, and observability tooling while partnering closely with Application, Security, and Architecture Teams to create reusable cloud patterns that Teams can rely on. In this role, you’ll help establish DevOps, reliability, and FinOps standards for a growing pod—balancing performance, resilience, and cost for non‑deterministic AI systems. This role offers the opportunity to build deep cloud and DevOps expertise while contributing to agentic platforms that simplify complex internal workflows and support Southwest Teams 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 3+ years in AWS hands-on—EKS/ECS, Lambda, IAM, VPC, CloudWatch 2+ years in IaC—Terraform or CloudFormation 3+ years in CI/CD pipelines—Jenkins, GitHub Actions, GitLab CI 2+ years in Containers—Docker + Kubernetes 2+ years in Observability & incident response—logs, metrics, traces Preferred: Experience in: Deploying LLM/agentic workloads (Bedrock, SageMaker) GPU infrastructure FinOps for AI workloads Secrets management (Vault, AWS Secrets Manager) SRE practices—SLOs, error budgets 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 secure and scalable AWS-native infrastructure to host intelligent AI agents for enterprise technology teams. Establish DevOps, reliability, and FinOps standards while managing CI/CD pipelines and container platforms.