Vetted Incident Response Professionals

Pre-screened and vetted.

DP

Staff-level Backend Engineer specializing in distributed data platforms and AI infrastructure

San Mateo, CA8y exp
OracleUniversity of Colorado Boulder
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SM

Staff Software Engineer specializing in cloud, networking, and distributed systems

Austin, TX7y exp
OracleUniversity of North Carolina at Charlotte
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RC

Technology Executive specializing in AI-native engineering and cybersecurity governance

Remote, VA17y exp
Cyber FoundryFresno State
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FC

Senior Software Engineer specializing in Python and AWS cloud-native backend systems

Vista, CA14y exp
IntuitUC San Diego
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MA

Mid-level Software Development Engineer specializing in AWS incident management and AI analytics

Fremont, CA5y exp
AmazonUniversity of Houston
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OA

Senior DevOps Engineer specializing in cloud infrastructure, Kubernetes, and CI/CD automation

12y exp
Micron TechnologyTexas A&M University
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VJ

Senior DevOps Engineer specializing in AWS cloud infrastructure and DevSecOps

21y exp
AmazonKeller Graduate School of Management
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JW

Staff Software Engineer specializing in FinTech eCommerce platforms

San Diego, California8y exp
IntuitUC San Diego
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HM

Executive Technology Leader specializing in Cloud, AI/IoT, and Cybersecurity

Boston, MA25y exp
TautukHarvard Extension School
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CL

Senior Software Engineer specializing in DevSecOps and Azure cloud infrastructure

Redmond, WA12y exp
MicrosoftStevens Institute of Technology
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WY

Mid-level Software Engineer specializing in cloud infrastructure and distributed systems

Sunnyvale, CA3y exp
AmazonGeorgia Tech
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SM

Executive Technology Leader (CTO/SVP) specializing in AI-native SaaS and platform modernization

Woodland Hills, CA27y exp
DriftlineAI Inc.University of Paris 8
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YX

Senior Software Engineer specializing in scalable backend and distributed systems

San Francisco, CA8y exp
DoorDashDePaul University
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KS

Staff Software Engineer specializing in backend platforms and FinTech/SaaS systems

Austin, TX15y exp
TuroCornell University
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NM

Senior Cloud Security Engineer specializing in AWS security, IAM governance, and DevSecOps

Richmond, TX8y exp
Juniper Networks
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Tara Munjuluri - Junior Software Engineer specializing in full-stack and AI systems in Ames, IA

Junior Software Engineer specializing in full-stack and AI systems

Ames, IA3y exp
John DeereCornell University

Backend-focused engineer with end-to-end ownership experience on internal platforms at John Deere, including a workforce and skills system that cut manual review time by 40%. Brings a strong reliability and compliance mindset across Java/Python microservices, AWS infrastructure, and production operations, and has also built an LLM-powered RAG system over 1M+ records with emphasis on grounded outputs and observability.

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BA

Mid-level Software Engineer specializing in distributed systems and growth platforms

New York, NY4y exp
GoDaddyCornell University

Backend/platform engineer with significant ownership at GoDaddy, where they built a real-time personalization and decisioning system that drove about $7M in annualized revenue and serves roughly 4M requests per day. Also operates as a solo engineer for a global human-rights legal-tech nonprofit, building the full platform and graph-based matching engine for 700+ partner organizations. Brings a strong blend of production backend rigor, platform thinking, and practical AI orchestration.

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RM

Senior Full-Stack Engineer specializing in Java microservices and FinTech

5y exp
JPMorgan ChaseWright State University

Backend engineer with experience at JPMorgan Chase and Walgreens, owning transaction-processing and prescription data flow systems in regulated environments. Brings strong hands-on depth in Spring Boot microservices, Kafka, Redis, Kubernetes, observability, and production incident resolution, plus practical experience integrating OpenAI-powered workflows with validation and fallback safeguards.

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Timothy Chu - Senior Software Engineer specializing in backend systems and data pipelines in Atlanta, GA

Timothy Chu

Screened

Senior Software Engineer specializing in backend systems and data pipelines

Atlanta, GA11y exp
The Home DepotGeorgia Tech

Backend-leaning full-stack engineer from Home Depot who operated in small, startup-like teams with end-to-end ownership of critical production systems. Stands out for combining Go/Python backend depth, React/TypeScript collaboration, and strong reliability instincts—improving search latency by 40%, cutting DB latency by 35%, and hardening high-volume data and compliance pipelines.

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Michael Matonte - Senior Backend Engineer specializing in distributed systems and AI-enabled platforms in Jersey City, NJ

Senior Backend Engineer specializing in distributed systems and AI-enabled platforms

Jersey City, NJ7y exp
CitibankUniversity of Texas at Austin

Backend engineer with end-to-end ownership experience in high-stakes environments spanning Citibank and industrial operations. They built an internal banking platform that automated complex entitlement workflows across thousands of business units with an 80% reduction in redundant processing, and they are now applying AI through OpenAI-powered agent workflows with RAG, vector databases, and security controls.

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DV

Dipesh Valia

Screened

Director of Engineering specializing in cloud platforms and enterprise SaaS

San Jose, CA24y exp
IvantiCarnegie Mellon University

Engineering leader focused on large-scale enterprise SaaS and MDM platforms, with experience modernizing monoliths into microservices, improving reliability, and scaling systems to support 15M devices across AWS and Azure. Stands out for combining deep platform architecture work with strong org-building: managed teams up to 45 globally and built a 0-to-1 platform services team to 22 people in under a year.

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JG

Jayanth Godi

Screened

Mid-level Site Reliability Engineer specializing in cloud infrastructure, Kubernetes, and LLM applications

San Jose, CA6y exp
AmazonSan Jose State University

SRE-focused engineer with experience at Sony Interactive Entertainment productionizing high-throughput LLM/agentic systems on Kubernetes, including GPU-aware autoscaling and warm-pool strategies to manage latency and cost under traffic spikes. Demonstrates strong incident response using Prometheus/Grafana + Jaeger tracing (e.g., resolving recursive agent loops and restoring 99.9% availability within minutes) and partners closely with sales/customer teams through PoV demos and developer workshops.

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