Vetted Site Reliability Engineering Professionals

Jurien Garrison

Screened

Principal Talent Acquisition Leader specializing in technical and GTM hiring for SaaS and AI

New York City, NY12y exp

“Recruiting leader managing teams of up to 26 who stays hands-on with high-impact executive searches; recently led and closed a VP of Revenue search in 60 days to unblock revenue growth. Partners closely with HRBPs and executive stakeholders (including CFO) on workforce planning, attrition reduction, and compensation/leveling decisions, and has rebuilt recruiting processes with structured, metrics-driven adoption.”

Abi Olatunji

Screened

Senior DevSecOps/SRE Engineer specializing in secure AWS & Azure cloud platforms

Dallas, TX9y exp

“Senior production infrastructure/SRE-style engineer with deep IBM Power/AIX (7.2/7.3) ownership at scale (40+ LPARs) supporting SAP/Oracle, including live DLPAR changes and PowerHA clustering. Also brings modern cloud/DevOps experience—Azure DevOps CI/CD secured with Key Vault and Terraform-based Azure provisioning—bridging legacy enterprise platforms with cloud automation.”

kartikeya tiwari

Screened

Senior Software Engineer specializing in AI systems and platform engineering

Bangalore, India6y exp

“Backend/AI engineer with experience owning production systems in fintech and product startups, including a predictive scaling platform that cut AWS spend by 40% and an ambiguous social-intelligence feature that doubled MRR from $50K to $100K. Also building AI search and document-processing workflows, with reported 99.7% extraction accuracy and hands-on use of both classical forecasting and modern LLM stacks.”

“Engineering/product leader who builds business-aligned technology roadmaps and scales pod-based orgs with strong delivery discipline (OKRs, CI/CD, QA automation). Led a SaaS supply-chain application adopted by Fortune 100 customers, citing ~$4M MRR and ~87% gross profit, and has hands-on experience standardizing LLM + cloud/MLOps architectures with security/compliance guardrails. Also created the PISEK methodology and used it to run distributed innovation sprints (e.g., an AI ETA predictor moved from pilot to production).”

“Cloud/Kubernetes-focused engineer with production ownership in multi-account AWS environments (GE) and EKS-based platforms (Lumeus.ai). Strong in incident response and reliability—diagnosed IAM-driven serverless failures (SQS/Lambda) and Kubernetes deployment issues (CrashLoopBackOff, memory pressure) with rollbacks, policy fixes, and improved monitoring. Built secure Jenkins CI/CD and delivered infrastructure via CloudFormation and Terraform for serverless and EKS stacks.”

“Cloud/DevOps-focused engineer with production experience in Linux, AWS, Kubernetes, and cloud-native architectures. Has built GitHub Actions CI/CD pipelines for containerized Kubernetes deployments and implemented Terraform-based AWS infrastructure with modular design and remote state/locking (S3 + DynamoDB) plus PR/CI-driven change control.”

“Backend/platform engineer with Paycom experience owning a core enterprise compliance feature (certification approval workflow) end-to-end, including live migration behind feature flags and production monitoring. Delivered measurable impact (40% faster workflow completion, major drop in escalations) and also built GraphQL microservices integrating certification workflows into an enterprise AI platform while driving significant API latency reductions (20s to <6s).”

“Hands-on ML practitioner who built and deployed an end-to-end phishing email classifier (CLI + simple web app), achieving 98% accuracy and reducing manual security triage. Emphasizes production reliability through input validation, graceful failure modes, monitoring/logging, and iterative error analysis, with experience hardening pipelines against messy backend/database data using fallbacks and idempotent processing.”

“Backend/ML engineer who built an end-to-end greenwashing detection system for corporate ESG reports: Python preprocessing pipeline, logistic regression + fine-tuned DistilBERT models, and a Dockerized FastAPI inference service optimized for latency. Internship experience maintaining GitLab CI/CD for TypeScript services (Jest/Playwright), improving pipeline stability and test determinism; familiar with Kubernetes/GitOps concepts and AWS CLI/SSO.”

“Led the creation of a software department at a hardware startup and designed/built a platform to manage fleets of hexacopter drones, including tackling the challenge of streaming high volumes of data from many IoT edge devices. Prefers greenfield work with high autonomy, combining hands-on architecture with structured planning, cost estimation, and risk-driven execution.”

“Startup operator with 8 years of experience who helped grow the business from limited initial capital into a much larger ARR. Somewhat familiar with the VC/accelerator landscape and strongly motivated to pursue entrepreneurship, with a clear framework for evaluating new venture ideas.”

Nandini Reinthala

Screened

Mid-Level Full-Stack Python Developer specializing in AI and data platforms

Dallas, TX5y exp

“Full-stack engineer who builds TypeScript/React SPAs on Python (Flask/FastAPI) backends and has hands-on experience integrating AI components (Azure OpenAI, LangChain, vector databases) into user workflows. Has built internal AI-enabled dashboards/search tools for analysts and business users, emphasizing typed API contracts, CI/CD-driven quality, and microservices reliability patterns (monitoring, retries, idempotency) at scale.”

Sumasri Jasti

Screened

Mid-level GenAI Engineer specializing in LLM agents and RAG systems

USA3y exp

“Designed and deployed a production LLM agent platform at the National Institutes of Health to reduce time spent searching fragmented internal documentation, combining RAG grounding with multi-step tool-calling workflows and integration into legacy services via inference APIs. Emphasizes production-grade reliability through automated evaluation on real queries, guardrails/safe-failure behaviors, and ongoing A/B testing and monitoring, and has experience translating non-technical stakeholder goals into measurable success metrics.”

“Platform/infra engineer with deep Kubernetes (EKS) and VMware vSphere experience who has led a monolith-to-microservices transition for a credit lending decision platform. Built GitOps-driven Terraform delivery with strong governance, and used LaunchDarkly-based progressive rollouts plus Datadog observability to safely ship multiple times per day (reported ~6x throughput and 1/3 the bugfix tickets vs legacy). Also operates hybrid on-prem/AWS networking (firewall + Transit Gateway, BGP) and has handled high-stakes datacenter migrations (100TB Storage vMotion) under Sev1 conditions.”

“Aspiring founder focused broadly on the AI space, with no startup yet and novice familiarity with venture capital and accelerators. They are actively acclimating to the startup ecosystem through hackathons and meetup groups and express a strong all-in commitment to entrepreneurship.”

Lokesh Jain

Screened

Senior AI/ML Engineer specializing in supply chain and healthcare systems

Bentonville, AR6y exp

“Built and deployed AcademiQ Ai, a production LLM-based teaching assistant using GPT/BERT with RAG (LangChain + Pinecone) to handle large student notes and generate adaptive explanations/quizzes. Demonstrated measurable retrieval-quality gains (18% precision improvement, 22% less irrelevant context) by tuning similarity thresholds and chunking based on user satisfaction signals. Also orchestrated terabyte-scale, real-time demand forecasting pipelines using Airflow and Kubeflow on GCP with strong monitoring, shadow deployment, and feedback-loop practices.”

“Serial entrepreneur and operator with experience financing and scaling startups using bank debt, PE debt, and self-funding, including a real estate asset management company grown through creative debt/equity structures. Former VP Engineering & Online Operations at a colo/cloud provider acquired by Zayo; built a global solutions engineering org in 30 days that contributed 18% of company growth and scaled quarterly revenue from ~$300K to ~$1.25M.”

“Infrastructure/Platform engineer with deep production ownership of large IBM Power/AIX estates (70 LPARs, dual VIOS, HMC across two data centers), including live DLPAR tuning and PowerHA clustering for Oracle/WebSphere. Also brings modern DevOps/IaC experience—built GitHub Actions pipelines deploying to Kubernetes with OIDC/Vault secrets and implemented Terraform to provision AWS EKS/VPC/IAM/ALB/RDS with drift detection and controlled rollouts.”