Help set where real-time data streaming on AWS goes next by owning a major area of the KDS product, such as capacity modes and scaling, consumer experience, data retention, pricing and packaging, or integrations with the wider AWS analytics and AI stack.
Compensation
USA, CA, East Palo Alto - 175,000.00 - 236,800.00 USD annually
Responsibilities
Own the multi-year vision and roadmap for your KDS area
Write PR/FAQs, 6-pagers, and PRDs that line up engineering and leadership
Go deep on customer problems through customer meetings, support trends, field feedback, and usage data
Work with engineering on technical tradeoffs in distributed systems, including throughput, latency, durability, partitioning and sharding, and cost-to-serve
Define and track the metrics for your area, such as adoption, revenue, usage by capacity mode and usage type, retention, and customer experience
Requirements
Bachelor's degree in computer science, engineering, math, finance, or economics
The AI Ops & Support Pod partners with the AI Platforms team to operate, monitor, and support Southwest's AI and agentic capabilities around the clock. As Tech Lead Software Engineer – AI Ops/Support, you'll set the technical bar for how Southwest's enterprise AI and agentic platforms are supported in production. You'll lead L2/L3 engineering, drive SRE practices at scale, and build an automation-first culture.
Responsibilities
Provide accurate development estimates in support of feasibility assessments and planned development activities
Create, maintain, review and approve application designs in collaboration with Solution Architects and shared services Teams
Develop, maintain, and review software with a focus on quality and maintainability
Develop, maintain, review, and execute unit, functional, and integration tests with a focus on automation and test-driven development
Provide technical oversight for performance testing
Requirements
Bachelor's degree in Computer Science, Engineering, Information Systems or related field and/or equivalent formal training
Nice to have: End-to-end ownership of production support or SRE for cloud-based AI, agentic, or ML systems
Nice to have: SRE patterns at scale (SLOs, error budgets, blameless post-mortems, MTTR reduction)
Nice to have: Advanced AWS for AI workloads (EKS, ECS, Lambda, API Gateway, IAM, VPC, CloudWatch)
Nice to have: Observability tooling for distributed systems (Datadog, CloudWatch, OpenTelemetry, Prometheus)
Senior AI Engineer responsible for architecting and delivering enterprise-grade AI systems at scale using Amazon Bedrock and Microsoft Azure AI Foundry.
Responsibilities
Own end-to-end architecture of cloud-native AI systems on AWS and Azure
Establish AI engineering standards and model governance frameworks
Lead cross-platform design decisions for AI deployments
Drive technical design reviews and risk assessments
Build and manage containerized model serving on Amazon EKS
Lead high performing API, Backend, Data and Cloud Engineering team
Adopt a ‘Design to Run’ mentality to architect robust solutions that are fully supportable in a production environment
Provide developmental advice and consult for business case/ideation, discovery, inception and enhancement requests by examining current vs target architectures ensuring align with ES strategy and architecture standards
Collaborate with Solution Architecture and functional SME’s to prototype solutions to explore alternatives, seeking simple & standard solutions with a low cost of ownership
Senior Executive - Data Analyst (PopHealth Record)
Responsibilities
Perform daily monitoring / check to ensure the Data Operations is smooth and Data quality is achieved for individual Licensee / Source System / Institution.
Take ownership to discuss the Operation Tickets with the corresponding Licensee / Source System / Institution.
Support to maintain and provide monthly assessment of data quality dashboards based on various sectors to track improvements and areas requiring attention.
Should be hands on to run the Power BI, Tableau or similar Low-Code or No-Code tools and generate the reports for weekly, Monthly, Quarterly and Annual reporting.
Should be having the understanding and able to follow the prescribed Data Governance and Data Security guideline and principles.
Requirements
Tertiary qualifications in Computer Science, Information Technology or related degree
Design, build and operate the cloud-based identity, access and licensing services that enable secure, reliable use of Bluebeam products, focusing on scalable backend services on AWS.
Responsibilities
Participate in software design, development, testing, deployment
Develop software solutions for business systems
Participate in daily standups, sprint planning, sprint refinement, and sprint retro meetings
Document design and code and Provide status updates regularly
Assist in knowledge share and transfer with team
Requirements
Bachelor’s degree or higher - Computer Science or equivalent field
Support and maintain our IT pipeline, strategy, infrastructure, and processes, while identifying and analyzing gaps in key processes to develop effective solutions.
Responsibilities
Manage IT support tickets for internal employees, which includes troubleshooting and fixing issues related to internal IT infrastructure.
Lead implementation of IT projects, including the design and deployment of new IT systems and services.
Monitor performance of SaaS and IT solutions to make recommendations for improving overall IT infrastructure.
Support and maintain IT infrastructure strategy, architecture, and process.
Analyze gaps in key processes to help develop solutions for IT needs.
Requirements
Bachelor’s degree in Information Technology, Computer Science, Information Systems, or a related field, or equivalent experience
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
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