Vetted Incident Response Professionals

“Backend/data engineer with experience on large-scale consumer platforms (Google and Meta), building high-traffic Python microservices (REST/gRPC) on Kubernetes with strong reliability/observability practices. Delivered AWS container-based deployments with CI/CD and IaC, and built AWS Glue ETL pipelines on S3 with schema evolution and data quality controls; also has demonstrated SQL tuning impact (15% latency reduction) and incident ownership for batch pipelines.”

“18-year Google veteran who managed and grew top customer investments, including Rocket Mortgage’s Google Search program—scaling spend from ~$60M/year to $170M/year. Led adoption of ROAS bidding and broad match through rigorous experimentation and forecasting, driving an additional $14.5M spend in 1H 2024 despite a challenging mortgage market.”

“Engineering leader/player-coach who built and validated a preference-based recommendation engine using clustering, including generating test data to evaluate how clusters evolve over time. Has SRE/DevOps experience and has owned production incidents end-to-end (logging-driven RCA and refactoring patterns that failed at large data scale). Emphasizes quality and platform stability via unit, integration, and load testing, and has managed performance via regular 1:1s and PIPs.”

Chase Bradley

Screened ReferencesModerate rec.

Staff AI Engineer specializing in LLM systems, retrieval, and ML infrastructure

Remote10y exp

“ML/LLM engineer from Cohere who has owned retrieval, reranking, agentic workflows, and internal evaluation infrastructure end-to-end in production. Particularly strong in turning brittle RAG and research-heavy ideas into scalable enterprise systems with grounded outputs, lower customer escalations, and adoption by major clients like Notion and Fujitsu.”

Alok Kumar

Screened

Director-level Product Management leader specializing in cybersecurity, cloud, and AI governance

Atlanta, GA24y exp

“Senior product leader with substantial end-to-end build experience across Microsoft, Amazon, NCR, and a current AI startup. Particularly notable for creating a machine-readable compliance platform at Microsoft, shipping AI-enabled support workflows, and combining enterprise-scale product rigor with a human-centered view of personalized AI.”

“Senior product leader with experience across Uber, Netflix, and Expedia, spanning HR tech and travel commerce. Has shipped and evaluated generative AI support experiences, navigated data/privacy trade-offs, and paired strong product judgment with measurable business impact, including a 30% lift in transactions and attach rate at Expedia.”

“IBM Power/AIX infrastructure engineer who has owned large-scale Power9/AIX 7.x estates across primary/DR (VIOS/HMC/vHMC) and has deep hands-on experience with DLPAR, shared processor pool governance, and PowerHA recovery. Also brings modern DevOps/IaC capability—built Azure DevOps/GitHub CI/CD for Terraform + Kubernetes/Helm with strong security controls and resolved a production Terraform state-lock failure by redesigning backend locking and pipeline concurrency.”