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Conduct performance testing for web, mobile, and API applications using NeoLoad or JMeter. Create and execute load and stress tests, analyze response times, throughput, and errors, and use monitoring tools to identify bottlenecks. Collaborate with development and infrastructure teams on troubleshooting and remediation, while preparing reports for technical and non-technical stakeholders. The role requires scripting, API and SQL knowledge, analytical skills, and independent work in a remote environment.

Leads go-to-market strategy and hands-on marketing execution for enterprise SaaS products. Responsibilities include content creation, customer persona development, messaging calendars, webinars, LinkedIn outreach, PPC campaigns, landing page optimization, analytics tracking, KPI reporting, and ROI improvement. The role combines strategic leadership with direct campaign, copywriting, design, and marketing automation work in a fully remote environment.

Own and improve cloud and platform security across Azure, AKS, Kubernetes, production access, vulnerability management, infrastructure as code, CI/CD, and security tooling. The role designs least-privilege access controls, hardens containers and workloads, implements automated security scanning, supports threat modeling and incident response, and partners with engineering, compliance, and executive stakeholders to reduce risk in a regulated healthcare/SaMD environment.

Lead and own a multi-account AWS platform and Terraform/OpenTofu codebase. Design network, security, and IaC standards; build and maintain lakehouse and ETL/ELT pipelines using Glue, Spark, Python, Step Functions, Lambda, and Databricks; manage Aurora databases; enforce data governance, CDC, data quality, and PCI-relevant segmentation while mentoring engineers and performing Well-Architected reviews.

Design, build, evaluate, and productionize LLM agents and predictive models for automotive retail. Own tool schemas, RAG systems, prompt/version control, agent evaluation, escalation logic, and full model lifecycle (training, deployment, monitoring, retraining). Quantify model impact and ship production-grade systems integrated with dealership services and lakehouse data.