Vetted Incident Response Professionals

“Infrastructure security/DevSecOps engineer who led security and automation patterns during a large Azure migration (30+ legacy apps, wave-based execution), enforcing zero-trust controls by baking CrowdStrike/Illumio into golden images and adding CI/CD security gates. Experienced integrating GitLab runners and Terraform agents as containerized services with strong secrets management (Azure Key Vault) and disciplined image/versioning practices, and has hands-on troubleshooting of ACI runtime constraints under load.”

shelly tomar

Screened

Mid-level Founding Engineer specializing in agentic AI for healthcare

null4y exp

“Founding engineer at Grosha who built and operated the backend from scratch, helping scale the product to 65+ countries in a fast-moving startup environment. Also brings healthcare AI experience from United Health Group, where they built backend pipelines for ambient AI scribing using transcription APIs and LLM orchestration with custom validation layers for clinical reliability.”

“AI startup co-founder and CTO who helped raise $2.6M in seed funding at RedRex and drove product strategy from ideation through execution. Experienced with rapid experimentation and AI-driven prototyping to validate ideas quickly, and has direct exposure to the VC/accelerator ecosystem (Gener8tor) with a market-first approach to building and pitching startups.”

Bilal Ahmed

Screened

Senior Linux Systems Engineer specializing in hybrid cloud and DevOps automation

7y exp

“Cloud/infrastructure engineer from ASM Research supporting federal healthcare systems, operating multi-cloud (AWS/Azure/GCP) environments at ~2000-server scale. Deep hands-on experience with Terraform/Ansible IaC, PR-based governance (Atlantis), and secure CI/CD (OIDC/least privilege), with concrete incident response wins and HA/failover testing improvements. Not an IBM Power/AIX specialist but comfortable translating virtualization/partitioning and ops practices to new platforms.”

Phanideep P

Screened

Senior Data Engineer specializing in cloud lakehouse and streaming data platforms

5y exp

“Data platform/data engineer with cross-industry experience in banking and healthcare, building cloud-native lakehouse architectures across AWS/Azure/GCP. Has owned high-volume (millions of records; TB/day) pipelines with strong data quality automation (dbt/Great Expectations), observability (Grafana/Prometheus), and real-time streaming (Kafka/Spark) for fraud monitoring; also delivered an early-stage migration from SQL Server to BigQuery with 40% batch latency reduction.”

“Software engineer focused on backend/full-stack, distributed systems, cloud infrastructure, and AI-related work. Stands out for using AI and multi-agent workflows as an engineering accelerator while maintaining rigorous testing, logging, and system-level validation, including work on telemetry and monitoring platforms where reliability and correctness are critical.”

“LLM/agentic-systems practitioner who has repeatedly taken LLM-driven pricing/decision services from prototype to production using pilots, guardrails, observability, and staged rollouts. Demonstrates strong real-time incident troubleshooting (dependency timeouts, cached fallbacks) and post-incident hardening (isolation/async/alerts), and also supports go-to-market via developer workshops, technical demos, and sales-aligned POCs.”

“Backend engineer who has built end-to-end data and platform systems across domains: a Scala/Java media data warehouse with a custom query language and Elasticsearch search, plus production security patterns (RBAC, RLS, audit trails) including a telehealth platform. Also demonstrated strong operational rigor by using feature-flagged side-by-side migrations and by catching ecommerce checkout edge cases that were dropping revenue.”

“Cloud/hybrid infrastructure engineer with McKesson experience migrating tightly coupled healthcare applications to microservices on AWS EKS. Strong in IaC-driven standardization, CI/CD automation, and production observability (CloudWatch/Splunk/Prometheus/tracing), with demonstrated ability to debug complex incidents spanning Kubernetes and cloud networking.”

“Infrastructure/Platform-focused engineering leader who led a large-scale AWS modernization, standardizing Terraform IaC and embedding security/policy validation into CI/CD to reduce drift and improve auditability. Also delivered data reliability improvements by incrementally migrating key integrations to an event-driven Kafka model with DLQs and lag monitoring, and has hands-on incident leadership using observability tooling (New Relic).”

“Infrastructure/DevOps engineer (Geico) focused on AWS and Kubernetes at production scale. Has hands-on experience building secure GitHub Actions CI/CD for EKS, provisioning core AWS infrastructure with Terraform/CDK, and leading end-to-end incident response with post-incident automation to prevent recurrence; no direct IBM Power/AIX/PowerHA experience.”

Aakanksha Desai

Screened

Junior Full-Stack Software Engineer specializing in React, Kubernetes, and AI-powered apps

Scottsdale, Arizona2y exp

“Backend/DevOps-leaning engineer managing multiple customer service platforms end-to-end (requirements through deployment). Built an in-house Python monitoring/alerting solution for Salesforce-to-Java contact sync jobs (Snowflake dependencies) that increased uptime ~60%, and helped modernize delivery by moving the team from manual releases to automated Jenkins-based deployments while coordinating an Oracle EBS→Fusion transition with business/data/IT stakeholders.”

Swati Swati

Screened

Senior Data Scientist/Software Engineer specializing in ML systems and cloud DevOps

Florida, United States5y exp

“AI software engineer with experience spanning LLM/RAG production systems and regulated fintech infrastructure. Built an end-to-end natural-language-to-SQL analytics assistant (Weaviate + GPT-4 + Supabase) shipped as an API with 92% accuracy and major time savings for non-technical users, and also owned demand-forecasting and CI/CD/containerization improvements for a Bank of America core banking deployment at Infosys.”

Israel Sodano

Screened

Principal/Staff Software Engineer specializing in distributed systems and FinTech platforms

São Paulo, Brazil13y exp

“Brazil-based tech leader who helped build Bankly’s end-to-end Banking-as-a-Service platform—delivering a plug-and-play solution in 6 months and architecting for ~5k requests/second; Bankly later became the largest BaaS in Brazil. Also runs a closed, personal-capital private trading group focused on automating investment decisions with AI trading bots, but is currently prioritizing international career growth over entrepreneurship.”

Satwika Boppudi

Screened

Mid-level Site Reliability Engineer specializing in AWS cloud and AI-driven backend systems

Houston, TX7y exp

“Backend/AI engineer in healthcare/insurance (mentions Cigna) who has shipped production systems spanning high-reliability APIs, async job architectures (Celery), and LLM/RAG features. Built an LLM document assistant with Terraform-managed AWS infra, semantic search retrieval, and strict permissioning/audit logs, and designed an automated prior-authorization workflow with human-in-the-loop escalation and compliance-driven thresholds.”

EMMANUEL ETIENNE

Screened

Engineering Manager specializing in FinTech money movement and AI-driven infrastructure

Brooklyn, NY12y exp

“Player-coach fintech engineer/engineering lead who built a deterministic payer-ID wire reconciliation system with Citi, including idempotent ingestion and webhook processing across Ruby and Go, materially reducing accounting manual work. Experienced in incident response (Plaid-related customer-impacting issue), stakeholder-driven MVP scoping for ACH status visibility, and delivery acceleration via infrastructure templating (EC2) and standardized Magento project setups.”

Brian Carroll

Screened

Principal Cybersecurity & Network Infrastructure Leader specializing in cloud, zero trust, and SIEM

Bakersfield, CA20y exp

“Founder of a self-funded IT management consulting practice specializing in security, compliance, and risk engineering for highly regulated sectors (banking/finance, healthcare, energy, defense, telecom). Uses consulting engagements to build repeatable “military-grade” security foundations and identify recurring pain points, with a longer-term goal of transitioning from consulting into a sustained internal team role for deeper impact.”

“Commercial and sales-focused candidate with nontraditional SDR experience who emphasizes proactive partner management, disciplined outbound systems, and consultative messaging. They cite driving 40% net sales revenue growth and doubling advertising income through strong follow-through, trust-building, and helping partners clearly understand value.”

Sairam Prasad

Screened

Mid-level Full-Stack Engineer specializing in AI-powered web platforms

United States4y exp

“Fullstack engineer focused on AI-powered customer-facing products, with hands-on experience building semantic search, document intelligence, and story-analysis platforms from scratch. Stands out for owning architecture and implementation across React/Next.js frontends, GraphQL/FastAPI backends, and async AI pipelines, while also shaping product direction through direct customer feedback in ambiguous startup environments.”

“Backend engineer who built and evolved a gun-parts price tracking platform focused on accurate historical pricing and fast graph-ready APIs. Experienced migrating an Express backend to NestJS incrementally with parallel routing, feature flags, and careful data integrity controls, and has a security-focused approach to API design (JWT/OAuth, RBAC, row-level access via scoped queries).”

“Founder who built and operated a marketing agency (Six Degrees) end-to-end, setting up legal/infrastructure foundations and implementing SOPs, KPIs, and repeatable operating rhythms. Emphasizes operational excellence, predictable delivery, and prioritization based on customer impact, revenue risk, and compliance/safety.”

“Software engineer with hands-on experience building and maintaining a React accessibility utility/component library (open-source-style) used across university portals, emphasizing WCAG 2.2 compliance, robust focus/keyboard behavior, and Jest/React Testing Library coverage. Also built and maintained .NET Core microservices at the Florida Department of Transportation, including integrating AI-driven features, with strong ownership around observability, incident response, and performance-focused refactoring.”