Southwest Airlines
Technology
SrSoftwareEngineer-CloudOps
Neural analysis suggests this role is
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“Sr Software Engineer - Cloud Ops at Southwest Airlines. Skills: Cloud Ops, AI Platform Operations, AWS, SRE, Automation, Observability, Incident Response, Python, Java. Ensure AI and agentic platforms operate reliably, securely, and efficiently at scale. Own L2/L3 operations for production AI workloads on AWS”
What You'll Achieve.
Ensure AI and agentic platforms operate reliably, securely, and efficiently at scale; Reduce repeat failures; Deliver consistent value as AI platforms evolve
Industry & Context.
Problem definition; Solution development; Investigating alternatives; Investigating new technologies; Root Cause Analysis (RCA)
Ability to work extended hours as needed
What They're Looking For.
Must Have
Advanced-level experience, seasoned and specialized knowledge in software development and methodologies, 3+ years in Incident response—blameless post-mortems, RCA, MTTR reduction, 3+ years in Observability—Datadog/CloudWatch/OTel, dashboards, alerts, runbooks, 4+ years in Cloud-native AWS—EKS/ECS, Lambda, API Gateway, DynamoDB, networking, 4+ years in Python or Java for ops automation and L3 fixes, 5+ years in production support / SRE on AWS at scale—incidents, on-call, SLOs, 5-6 years of relevant work-related experience, Must meet confidentiality expectations as to confidential, proprietary and sensitive Company information, Ability to work extended hours as needed
Nice to Have
Hands-on AWS Bedrock/SageMaker ops, GPU infra ops—batching, autoscaling, cost tuning, IaC (Terraform/CloudFormation) hands-on, Service mesh (Istio/App Mesh), API GW, WAF, Secure ops for PII/regulated data
What You'll Do.
Ensure AI and agentic platforms operate reliably
and efficiently at scale
Own L2/L3 operations for production AI workloads on AWS
Drive automation and resilience across distributed systems
Work hands-on with cloud-native services and containerized platforms
Use Infrastructure as Code
and observability practices
Respond effectively to incidents
Deliver permanent improvements that reduce repeat failures
and security for non-deterministic AI systems
and operational readiness
Drive the technical direction and feature roadmap of large-scale cloud systems
Serve as a technical lead contributing to and directing the efforts of development teams
Determine operational feasibility by evaluating analysis
and proposed solutions
Drive detailed definition of feature requirements through discussions with product managers and customers
Support continuous improvement by investigating alternatives and new technologies
Prepare and install solutions by determining and designing system specifications
Evaluate code to ensure that it is valid
is properly structured
meets industry standards
and is compatible with browsers
Mentor Software Engineers to allow for skill/knowledge development through advice
and training opportunities
Update job knowledge by studying state-of-the-art development tools
programming techniques and computing participating in educational reading professional maintaining personal participating in professional organizations
May perform other job duties as directed by Employee's Leaders
How You'll Work.
Team & Collaboration
Partnering closely with AI Platform, Security, and Product Teams; Directing the efforts of development teams, including internal and external team members; Working with various Technology or partner Teams; Articulating ideas, approach, concepts, options, risk, impact, and provides guidance to technical, non-technical, and Leadership audiences
Communication Scope
Excellent partnering, communication, negotiation skills; Ability to articulate (verbally / visually) ideas, approach, concepts, options, risk, impact, and provides guidance to technical, non-technical, and Leadership audiences
Process & Methodology
Ability to lead multiple assignments, whether administrative or project related, while maintaining a successful level of completion in all responsible work
Full 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. **Job Description:** As a Sr Software Engineer Global supporting the AI Platform Operations Pod with a Cloud Ops focus, you’ll help ensure Southwest’s AI and agentic platforms operate reliably, securely, and efficiently at scale. This role combines deep cloud engineering with SRE practices, owning L2/L3 operations for production AI workloads on AWS while driving automation and resilience across distributed systems. You’ll work hands‑on with cloud‑native services and containerized platforms—using Infrastructure as Code, CI/CD pipelines, and strong observability practices to detect issues early, respond effectively to incidents, and deliver permanent improvements that reduce repeat failures. Partnering closely with AI Platform, Security, and Product Teams, you’ll balance reliability, cost, and security for non‑deterministic AI systems—an emerging and high‑impact discipline. You’ll also mentor other Engineers and promote “shift‑left” quality by strengthening runbooks, alerts, testing, and operational readiness, helping ensure Southwest’s AI platforms continue to deliver consistent value as they evolve. Responsibilities * Drive the technical direction and feature roadmap of large-scale cloud systems * Serve as a technical lead contributing to and directing the efforts of development teams, including internal and external team members * Determines operational feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions * Drives detailed definition of feature requirements
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