Vetted CI/CD Professionals

“Backend/platform engineer with experience at Microsoft, Uber, and Gusto building production AI-agent automation systems in Python (AutoGen) and cloud-native microservices on Kubernetes across AWS/Azure. Has delivered zero-downtime migrations and high-throughput real-time streaming pipelines (Kafka/WebSockets/Redis), and is strong in GitOps/ArgoCD-driven CI/CD with reliable rollouts and rapid rollback.”

“DevOps/SRE focused on cloud-based distributed systems, with strong hands-on Kubernetes production experience (microservices deployments, Helm, probes, resource tuning, CI/CD and Docker build standardization). Demonstrated end-to-end troubleshooting across application, infrastructure, and networking layers—e.g., isolating degraded storage via node disk I/O metrics and restoring performance by draining the node and replacing the volume. Builds Python automation for operational reliability, including scheduled Kubernetes secrets rotation integrated with an external secret manager.”

“Robotics software candidate with hands-on experience building controllers for an Autonomous Underwater Vehicle, including dual-PID control in Python with state-space modeling and a planned path to LQR. Developed ROS nodes for odometry-based localization, waypoint planning, and control command publishing, validated through a custom Gazebo/ROS simulation workflow with control-metric-driven testing. Also worked on F1Tenth simulation and scan-matching localization (PL-ICP), with additional cloud deployment experience using Docker/Kubernetes and CI/CD.”

Sergey Pustovit

Screened

Director-level Data Platform & Analytics Engineering Leader specializing in distributed systems

Irvine, CA31y exp

“Entrepreneurially minded builder focused on proving architecture concepts via minimal demo prototypes for marketing. Has hands-on experience improving an A/B experimentation framework by interviewing stakeholders, identifying system limits and bottlenecks, and defining success criteria to scale experimentation and speed up analysis.”

“Frontend-leaning full-stack engineer who built an internal real-time operations dashboard from 0→1 using React, TypeScript, Redux Toolkit, Material UI, and Node.js integrations. Stands out for hands-on performance tuning at scale—profiling and fixing excessive re-renders, optimizing live-update UIs, and iterating post-launch with caching, pagination, and observability.”

“Fintech and AI product engineer who has owned major production rollouts, including Lending Club's banking-arm launch, and has since built LLM-powered decision systems for finance and climate use cases. Particularly strong in combining stakeholder management with pragmatic architecture choices like observability, deterministic pipeline design, RAG, and document-to-structured-data workflows.”

“Frontend engineer from Amazon Advertising who owned a sophisticated React/TypeScript ad creative builder used by advertisers and ad ops teams. Stands out for combining deep browser-level debugging with product-minded UX improvements that reduced support escalations and made complex multi-placement ad configuration faster and more reliable for power users.”

“AWS engineering manager leading delivery for an end-to-end encrypted communications product (calling/messaging/screen sharing), including shipping read receipts with full design/engineering/QA ownership. Demonstrated strong customer-driven problem solving (offline/mission users enrollment via admin one-time codes with account allowlisting) and reliability improvements (data retention bot crash RCA, monitoring/notification, and high-volume test simulation).”

“Backend/AI engineer who built a production GPU-backed real-time inference API at Nvidia and debugged burst-induced tail latency, cutting P95 by ~29% through dynamic batching and backpressure. Also shipped an end-to-end RAG + agentic operational diagnostics assistant with strict tool controls, evidence citation, confidence gating, and strong production guardrails, plus demonstrated hands-on Postgres optimization (900ms to 40–60ms).”

Pankaj Goyal

Screened

Director-level Engineering Leader specializing in FinTech, IAM, and AI/ML platforms

SF Bay Area, CA22y exp

“Player-coach backend leader at PostLo who led a major backend architecture upgrade to enable AI-driven features by separating transactional systems from AI workloads (vector embeddings/image validation) and adding async processing for heavy jobs. Also owned production reliability improvements (query/index optimization, workload isolation, monitoring and load testing) and translated an ambiguous retention goal into a shipped cashback rewards feature with auditable transactions.”

“Long-tenured Intel engineering leader with 27 years of experience spanning hardware-near software through cloud and web layers, including Chromebook and AI platform work. Particularly compelling for senior platform or AI infrastructure roles: he led cross-functional efforts to unify Intel's oneAPI stack across PC, embedded, and data center environments and helped drive LLM inference performance from roughly 11 to 22 tokens per second.”

Jeff Otchis

Screened

Director-level Product Management leader specializing in B2B cybersecurity and enterprise SaaS

Austin, TX24y exp

“Enterprise B2B go-to-market and product marketing leader with experience at Compaq, HP, Dell, Forcepoint, and AT&T/LevelBlue, spanning cybersecurity and OEM businesses. Stands out for building a unified GTM motion across four merged companies at Forcepoint and for driving measurable growth through vertical marketing and sales enablement, including $25M and $10M revenue impacts in separate roles.”

“Engineer with deep hands-on experience building Square's billing and payments platform in a startup-like environment inside a larger company. They drove a high-stakes PostgreSQL migration, built merchant-facing full-stack features across React/TypeScript, Go, and Python, and designed for PCI-compliant, high-throughput financial workflows with strong observability and production rigor.”

veera krishna chaitanya Arepalli

Screened

Mid-level Full-Stack Engineer specializing in AdTech and FinTech

Menlo Park, CA5y exp

“Meta product engineer with strong ad-tech experience who owned monetization and optimization features across Instagram Boost on mobile and web. They combine product analysis, experimentation, and full-stack execution, citing $9.8M/year from an upsell feature and $43K/day from feeding IG-to-WhatsApp lead signals into ad targeting. Also built an internal LLM-powered analytics agent to automate adoption-rate analysis for product teams.”