Vetted Site Reliability Engineering Professionals

“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.”

Harsh Sanas

Screened

Intern Full-Stack Engineer specializing in AI and distributed systems

Los Angeles, CA2y exp

“Full-stack product engineer who has designed and shipped production web experiences in EV charging, trading, automotive companion apps, and AI systems. Stands out for owning user-facing React experiences through backend integration and production monitoring, with a strong bias toward reliability in real-time and high-stakes workflows. Also has early-stage Scale AI experience building a Text-to-SQL agent stack with Python, PostgreSQL, Redis, Kafka, and AWS.”

“Bootstrapped founder building a cybersecurity framework for cloud-native applications and startups, differentiated by significantly faster end-to-end cloud environment delivery than traditional consulting. Has experience navigating pricing models (fixed price vs time & materials) using MVP and phased delivery, and has strong familiarity with the VC/accelerator landscape with interest in healthcare (details under NDA).”

“Senior Engineering Manager with a player-coach style who stays technically engaged through heavy code reviews and pair programming. Led prioritization and stakeholder alignment for a scalable, resilient feature-flag evaluation service with strict sub-50ms latency goals, including a major caching-strategy redesign and incremental rollout approach. Experienced in incident response/retrospectives and in coaching engineers toward improved performance and promotions.”

Nicholas Gunder

Screened

Director of Engineering specializing in FinTech, SRE, and AI platforms

Remote, USA25y exp

“Engineering leader with deep hands-on experience across people management, product ownership, SRE, and architecture, currently leading a 15-person senior engineering team he largely built himself. He is actively applying AI/LLMs to both internal developer productivity and customer-facing financial support workflows, including an LLM ledger chatbot with automated guardrail evaluation in a regulated environment.”

“Engineering leader with experience rebuilding a 35-person organization after acquisition, spanning operations, QA, and multiple software teams. Combines hands-on technical judgment in areas like search, AI chatbot integration, and AWS operations with strong organizational leadership, including process modernization, quality embedding, and customer-feedback-driven AI product improvement.”

“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.”

“Robotics software engineer with extensive ROS2 experience building and integrating full autonomous navigation stacks (sensor fusion, ICP/occupancy-grid mapping, planning). Hands-on computer vision work for drones, including monocular depth-from-RGB pipelines (Open3D/OpenCV) and model swaps to improve low-light performance. Also experienced in multi-drone coordination with Crazyswarm2 and Vicon-based state estimation, plus Gazebo simulation for TurtleBot, Franka Emika, and a Lunabotics-style excavation rover.”

“Infrastructure/operations engineer with hands-on IBM Power/AIX administration (LPAR/DLPAR, HMC, RMC) and PowerHA cluster failover experience, plus modern DevOps tooling across CI/CD, Kubernetes/Helm, and IaC (Terraform/CloudFormation/Ansible). Emphasizes controlled change management, drift prevention via Git-as-source-of-truth, and observability practices using Prometheus/Grafana.”

Changhee Lee

Screened

Mid-level Software Engineer and Product Manager specializing in AI and financial data platforms

Remote4y exp

“Full-stack engineer with deep Next.js App Router + TypeScript experience who has shipped and owned production features in a fashion/wardrobe/resale domain. Demonstrated measurable impact across the stack: +25% engagement, 30% faster load times, 40% fewer errors, plus durable Temporal workflows and Postgres analytics/query tuning for real-time dashboards.”

“Executive MBA candidate exploring entrepreneurship with exposure to the venture capital ecosystem (including an investor-focused conference). Highly committed to building a product from the ground up and uses authenticity, market fit, and personal expertise alignment as key criteria for pursuing new ideas.”

“Backend-focused engineer who uses AI pragmatically as a force multiplier rather than a substitute for engineering judgment. They stand out for applying structured, agent-style workflows to code generation, debugging, and production log analysis while maintaining strong emphasis on correctness, performance, and reliability in backend and microservices environments.”

“Senior engineering leader from IBM who has built and scaled enterprise AI/GenAI platforms across hybrid and multi-cloud environments, combining executive-level org leadership with hands-on debugging of production distributed systems. Particularly compelling for Director/VP roles needing someone who can unify architecture, platform strategy, and engineering execution across multiple teams.”

“Built and deployed a production AI/ML SRE copilot that uses RAG over real-time Splunk signals plus deployment/runbook data to generate grounded incident summaries and next steps, cutting time-to-contact by 30%. Treats the knowledge corpus like a production dataset (quality gates, semantic chunking, metadata enrichment) and runs golden-dataset automated evals to ensure reliability, while partnering closely with ops/support leaders through discovery sessions and metric-driven demos.”

“Engineering leader who managed a 20-person cross-functional team building customer-driven software solutions, delivering a 50% reduction in simulation/test lifecycle and securing a long-term strategic SLA. Strong in scalable data ingestion architectures (FastAPI + Kafka + multiprocess workers), operational diagnostics (correlation IDs/centralized logging), and microservice decoupling for analytics/visualization. Active open-source contributor who shipped a NATS bug fix and improved SDK onboarding with automation that cut ramp time by 30%.”