Cloud DevOps Engineer - Data QA at Southwest Airlines in India Office

Job description

• Design and build enterprise cloud infrastructure automation, pipeline automation and cloud capabilities used by the enterprise. Partner with application, security, and architecture teams to build re-usable and secure cloud infrastructure to be used by business applications. Knowledge of cloud computing industry trends and apply that knowledge to continually innovate and evolve the enterprise cloud platform.
• As a Cloud DevOps Engineer - Data QA & Platform Testing, you’ll build and test the critical event-driven automation layer that connects creative intake with enterprise Digital Asset Management and publishing platforms.
• The role focuses on low-latency event-driven webhooks, API microservices, automated CI/CD testing, and observability rather than traditional server management or legacy infrastructure maintenance.
• You’ll serve as a technical authority for integration stability and reliability across creative platforms and cloud environments, helping ensure content renders and moves reliably across web and app experiences.
• Build and test the event-driven automation layer connecting creative intake with enterprise DAM.
• Improve integration stability, reliability, observability, performance, and latency across content workflows.
• Help establish automated testing and cloud reliability practices across connected creative platforms.

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
• Build and validate event-driven automation connecting creative intake, Adobe platforms, and enterprise DAM workflows.
• Design automated test suites for webhooks, event triggers, API connectors, and payload delivery across creative and publishing tools.
• Build pipeline-testing scripts that run continuous-integration checks across sandbox, staging, and production content environments.
• Manage serverless middleware supporting asset transformation and distribution services.
• Establish CI/CD testing frameworks and observability standards across creative platforms and cloud environments.
• Monitor platform health using asset-sync latency, API failure rates, webhook timeouts, logging, and IAM security controls.
• Partner with downstream teams to validate rendering, performance, and latency across web and app experiences.
• Support integration reliability and production readiness across Adobe Workfront, AEM, Adobe I/O, Fusion, and connected services.

Requirements

• 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
• Strong cloud infrastructure and DevOps engineering knowledge with hands-on AWS experience.
• Strong understanding of event-driven microservices, API connectors, webhooks, and automated CI/CD deployment pipelines.
• Strong automated testing and pipeline validation capability across multitenant environments.
• Advanced knowledge of serverless middleware, observability, monitoring, and logging.
• Ability to troubleshoot performance, latency, integration failures, webhook timeouts, and IAM-related issues.
• Strong scripting and technical problem-solving capability using Python and SQL.
• Required: Bachelor's degree in Computer Science, Engineering, Information Systems or related field and/or equivalent formal training
• Required: Intermediate-level experience, fully functioning broad knowledge in Cloud software or DevOps
• 2-5 years of relevant work-related experience
• 5+ years of cloud infrastructure and DevOps engineering experience, including hands-on AWS experience.
• Experience validating event-driven microservices, API connectors, and automated CI/CD deployment pipelines across Adobe Workfront, AEM, Adobe I/O, and Fusion.
• Experience designing automated test suites for webhooks, event triggers, and payload delivery.
• Experience building automated pipeline-testing scripts across sandbox, staging, and production content environments.
• Experience using monitoring and logging tools to assess platform health and event observability.
• Must meet confidentiality expectations as to confidential, proprietary and sensitive Company information
• Ability to work extended hours as needed
• Ability to work onsite approximately 3 days per week and as required by the business
• Container orchestration experience.
• AWS monitoring experience.
• CI/CD security and compliance experience.
• Python/SQL scripting experience.
• Akamai experience.
• Experience working closely with digital delivery teams to validate rendering, performance, and latency across web and app channels.

Skills

Required

• Skilled in monitoring tools

Preferred

• Container orchestration experience.
• AWS monitoring experience.
• Python/SQL scripting experience.
• Akamai experience.