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Southwest Airlines
Sr Software Engineer – AI Ops
Southwest Airlines
Hyderabad•On-site•5-8 Yrs•2 days ago
Job description
Overview
Department: Technology
Responsibilities
- 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 through discussions with product managers and customers
- Supports continuous improvement by investigating alternatives and new technologies
- Prepares and installs solutions by determining and designing system specifications, standards, and programming
- Evaluates code to ensure that it is valid, is properly structured, meets industry standards, and is compatible with browsers, devices, or operating systems
- Mentor Software Engineers to allow for skill/knowledge development through advice, coaching, and training opportunities
- Update job knowledge by studying state-of-the-art development tools, programming techniques and computing equipment; participating in educational opportunities; reading professional publications; maintaining personal networks; participating in professional organizations
- May perform other job duties as directed by Employee's Leaders
- Knowledge, Skills and Abilities• Advanced knowledge of software development methodologies, practices, concepts, and technologies obtained through formal training and / or
Qualifications
- Proactively shares knowledge and skills of software development and testing to solve a range of problems
- Advanced knowledge of at least one required programming language
- Excellent partnering, communication, negotiation skills, and execution in working with various Technology or partner Teams
- Ability to articulate (verbally / visually) ideas, approach, concepts, options, risk, impact, and provides guidance to technical, non-technical, and Leadership audiences
- Ability to lead multiple assignments, whether administrative or project related, while maintaining a successful level of completion in all responsible work
- Ability to mentor others
- Ability to lead ideating, presentations, mentoring and group-thinking sessions
- Ability to influence without authority
- 5-7 years of relevant work-related experience
- 5+ years in Production support / SRE for cloud or AI/ML applications
- 4+ years using strong Python —debugging, profiling, fixing production issues
- 3+ years in Cloud-native AWS—Lambda, ECS/EKS, API Gateway, DynamoDB, S3
- 3+ years in Observability—Datadog/CloudWatch/OTel, log/metric/trace analysis
- 3+ years in CI/CD, IaC basics (Terraform), and SRE practices—SLOs, error budgets
- Preferred: Experience in:• FinOps for AI inference (cost-per-call, token economics)
- Eval frameworks (Ragas, DeepEval, Promptfoo) for AI features
- Back-office workflow automation experience
- Hands-on with agentic frameworks (LangChain/LangGraph/CrewAI) in support context
- Docker + Kubernetes for AI workloads
- Ability to work extended hours as needed