Vetted Root Cause Analysis 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.”

“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.”

“C-level operator and advisor who has led operational transformations at growing companies from ~$100M revenue to multi-billion scale. Focuses on working backwards from a north star to build KPI/decision-owner mechanisms, P&L-linked accountability, and agile org structures—citing outcomes like +500 bps market share gains, millions saved in people costs, and EBITDA acceleration for a PE exit.”

“Software engineering manager with 8+ years spanning large-scale consumer product delivery and ML-driven forecasting platforms. He has led teams of up to 15 engineers, hired 20+ people, and worked on systems serving millions of customers, including Amazon grocery/order-modification features and a forecasting platform with explainability and AI chatbot layers.”

Gabriel Aguiar

Screened

Entry-Level Software Engineer specializing in AWS cloud infrastructure and distributed systems

Arlington, VA1y exp

“Robotics software engineer with hands-on ROS 2 experience who helped build an autonomous 5-DOF robotic arm that plays Backgammon, owning perception (OpenCV) and game-logic while adding robustness features like lighting tolerance and auto-calibration. Also worked on a Raspberry Pi/LiDAR car project, improving mapping accuracy through data-logged calibration and contributing to multi-robot collision-avoidance coordination via a server-based pub/sub system.”

Muneendra M

Screened

Mid-level Software Engineer specializing in event-driven backend and AI-enabled systems

San Francisco, CA4y exp

“Full-stack engineer at Stripe who owned a webhook monitoring and retry platform end-to-end, spanning backend services, React dashboards, and production operations. Stands out for combining strong distributed-systems judgment with product polish, including a reported 31% improvement in webhook delivery reliability and UI improvements that reduced support burden.”

“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.”

“Engineering leader with deep distributed-systems expertise who led Oracle's replacement of a legacy Fusion Applications authorization service with a cloud-native Go/Kubernetes RBAC platform delivering sub-10ms latency. Combines hands-on architecture depth with org-building experience, having grown a geo-distributed team from 4 to 26 and led managers, architects, and cross-functional delivery across Oracle and Microsoft environments.”