Sr Cloud DevOps Engineer at Southwest Airlines

, , India -

Full Time

Start Date

Immediate

Expiry Date

05 Oct, 26

Salary

0.0

Posted On

07 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AWS, Terraform, CI/CD, GitLab, Docker, Kubernetes, Infrastructure as Code, Backstage, CloudFormation, SRE, Python, Automated Testing, Cloud Architecture, Platform Engineering, AI-assisted Development, Event-driven Architecture

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: About Us At Southwest Airlines, we believe that flying should feel like freedom. For over 50 years, we’ve been connecting people to what matters most with low fares, legendary hospitality, and a heart for service. Our culture is built on the principles of fun, friendliness, and family, making us one of the most admired workplaces in the world. If you’re passionate about making a difference, love working in a fast-paced environment, and want to help millions of travelers reach their destinations with a smile, Southwest Airlines is the place for you. Here, your career can truly take flight. Job Summary The Platform & AI Accelerators Pod drives Southwest's next-generation cloud platform transformation — migrating from CloudFormation-based CCP to Terraform-based CCPNext, scaling Backstage Golden Paths, and delivering AI-driven platform accelerators. The team enables faster developer onboarding, consistent enterprise standards, and higher engineering productivity through reusable modules, automation, and AI-enabled tooling adopted across the organization. As Senior Cloud DevOps Engineer – Platform & AI Accelerators, you'll lead design and delivery of enterprise-grade cloud infrastructure — building reusable Terraform modules, GitLab-based accelerators, and platform standards adopted across the enterprise. You'll act as a subject matter expert shaping DevOps best practices from our Hyderabad office, driving enterprise-wide adoption of CCPNext and AI-driven acceleration. Focus on designing and building enterprise cloud infrastructure automation, pipelines, and cloud capabilities for services on AWS. Partner with application, security, and architecture teams to build re-usable and secure cloud infrastructure to be used by business applications. Operate in a DevOps culture and team, responsible for architecture, design, development, implementation, and ongoing operations of new and emerging technology platforms. Responsibilities Evaluate cloud services and architecture to identify strengths and weaknesses of alternative solutions, conclusions, or approaches to problems Implement automation tools and frameworks for automatic code deployment (CI/CD) Work with the development team to deploy and manage tools that support SDLC automation, configuration management, and release management Understand technical architectures with automation to support complex delivery across a wide range of digital and enterprise applications 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 with 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 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 Ability to understand AWS compute, data sources, security technologies Knowledge of infrastructure-as-code (IAC) Skilled in deployment strategies using Docker for containerization Ability to understand the monitoring and management of the build and deployment processes and infrastructure Ability to analyze services to ensure security best practices are followed 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 Skilled in automated testing solutions for unit testing, integration testing and system testing Preferred: Advanced AWS cloud engineering with multi-account, security, and networking depth Terraform as the primary IaC standard — reusable modules, multi-environment, drift management Backstage or developer portal integration for Golden Paths and platform accelerators Advanced CI/CD (GitLab, Jenkins) with governance gates, security scans, and reusable templates Containerization and orchestration (Docker, Kubernetes/EKS) AI-assisted development workflows and platform accelerators Automated testing (unit/integration/system) for infrastructure and pipelines Observability and SRE practices for platform reliability Education Required: Bachelor's degree in Computer Science, Engineering, Information Systems or related field and/or equivalent formal training Experience Required: Advanced-level experience, seasoned and specialized knowledge in Cloud software or DevOps. 5-7 years of relevant work-related experience Preferred: Leading enterprise IaC migrations (CloudFormation → Terraform or comparable) Contributing to reusable Terraform modules or Backstage Golden Paths used across many teams Enterprise platform adoption, modernization, or transformation initiatives GitLab-based CI/CD and platform automation at scale Event-driven architectures (Kafka, EventBridge) supporting platform capabilities AI-enabled developer tooling in production Distributed delivery across globally distributed engineering teams Platform engineering within a large enterprise 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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Responsibilities

Lead the design and delivery of enterprise-grade cloud infrastructure and reusable Terraform modules to drive the CCPNext transformation. Partner with security and architecture teams to build secure, automated pipelines and AI-driven platform accelerators.