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Own and evolve AWS infrastructure, Terraform IaC, EKS Kubernetes platforms, and GitOps CI/CD pipelines. Manage environments, secrets, IAM boundaries, observability, data and application infrastructure, reliability, and cost optimization. Partner with technical leads to define requirements and deliver secure, scalable production systems. The role requires hands-on automation, strong judgment around stateful systems and infrastructure risk, comfort with ambiguity, incident awareness, and effective technical communication.

Build and support complex Salesforce Service Cloud platforms using Apex, LWC, and Flows. Develop AI-enabled workflows, omnichannel routing, case orchestration, communications systems, and Salesforce-to-data-platform integrations. Provide production support, monitor platform health, triage critical alerts, investigate automation failures, manage incidents, and document findings. The role requires strong Salesforce integration expertise and operates remotely during US Central Time.

Build and integrate LLM-powered functionality across React frontends and Python backend services. Develop AI workflows, prompt-engineering solutions, APIs, integrations, and data-processing features using LLM providers such as Claude and OpenAI. Collaborate with product, QA, and engineering teams in distributed EST-overlap schedules, participate in design discussions, and contribute to scalable, maintainable software.

Conduct mixed-method UX research for enterprise IT and operations experiences, including AI-enabled self-service tools and AI skill concepts. Independently scope studies, recruit participants, analyze findings, maintain a jobs-to-be-done framework, and deliver actionable recommendations and executive-ready readouts. Partner with product, design, engineering, service, and operations teams to validate tooling decisions, improve employee workflows, and support successful rollout and adoption.

Build and maintain React user-facing features and Node.js backend services. Architect full-stack solutions, optimize performance across browsers and devices, implement automated tests (Jest, React Testing Library, Mocha/Chai), apply state management (Redux/Context) and component-driven design, and collaborate with cross-functional international teams to deliver production-ready features.

Conduct independent mixed-method UX research for enterprise IT and operations employee experiences. Evaluate AI-enabled self-service tools and AI skill concepts, identify user needs and adoption barriers, maintain a jobs-to-be-done framework, and translate findings into actionable recommendations. Develop research plans, recruit participants, moderate studies, synthesize insights, create executive-ready readouts, and partner with product, design, engineering, service, and operations teams to validate tooling decisions before rollout.

Lead application security programs focused on code hygiene and operational ownership. Coordinate PMO teams, meetings, documentation, change initiatives, and stakeholder communications. Track and report progress, risks, blockers, and key results to leadership. Independently research problems, test solutions, and deliver results through rapid iteration.

Build and integrate LLM-powered functionality across React frontends and Python backend services. Develop AI workflows, prompt engineering solutions, API integrations, and data-processing features using Claude, OpenAI, or similar models. Collaborate with product, QA, and engineering teams in distributed environments, contribute to scalable designs, and support AI evaluation and quality considerations.

Develop and support complex Salesforce Service Cloud platforms and AI-enabled workflows. Build solutions with Apex, LWC, and Flows; enhance omnichannel routing, telephony, case orchestration, communications, and data-platform integrations. Provide production support, monitor platform health, triage alerts, investigate automation and routing failures, manage incidents, and document findings. The role also contributes to Salesforce-to-Snowflake integrations, observability, and operational excellence across post-sales systems.

Build and integrate LLM-powered features across frontend and backend systems. Develop React components, extend Python backend services, integrate LLM APIs, and create AI workflows. Collaborate with product, QA, and engineering teams in distributed environments, participate in design discussions, and contribute to scalable, maintainable solutions.