Vetted Kubernetes Professionals

“Data engineer/backend developer with experience owning end-to-end, high-volume data pipelines for ML/analytics using Python, Airflow, SQL, and PySpark, reporting ~30% error reduction through improved reliability and data quality checks. Has also built Django-based REST APIs with caching/pagination and strong versioning practices, and operated external data collection/web scraping pipelines with anti-bot measures, monitoring, retries, and idempotent backfills.”

“Built and shipped customer-facing AI systems in banking, including an AI fraud support workflow and virtual assistant at Citi/Citibank that handled over 1 million conversations per month. Combines full-stack engineering, LLM/RAG architecture, and strong compliance-minded design with PII masking, audit logging, confidence thresholds, and human escalation for regulated environments.”

“Backend/data engineer with production experience building credit/fraud enrichment services and checkout pipelines on AWS (EKS + Lambda) using FastAPI, Kafka, Postgres, and Redis, with a strong focus on reliability patterns (timeouts/retries/circuit breakers) and observability. Has also built AWS Glue/PySpark ETL into S3/Redshift with schema evolution and data quality controls, and modernized legacy credit decisioning into Java/Node microservices with parallel-run parity validation and feature-flag rollouts.”

“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%.”

“Technology leader with experience owning enterprise roadmaps and executing large-scale platform standardization during rapid M&A—most notably driving a tech roadmap across a 37-company portfolio at Regent, tackling technical debt and security gaps via unified cloud-native architecture, IAM/logging, CI/CD, and a global SRE model. Previously scaled an Adobe engineering org from 8 to 40+ across four regions, implementing clear org design, KPIs, and an extreme-ownership culture to support 24/7 operations and enterprise needs.”

“Backend-focused engineer with hands-on experience modernizing a legacy SNMP/PNM data collection system at CableLabs into a cloud-accessible Kubernetes pipeline, feeding Prometheus-formatted metrics into VictoriaMetrics and visualizing real-time network health in Grafana for 100+ modems. Also built a FastAPI + Supabase appointment booking portal for a clinic with encryption and phone-number-based auth, and has frontend experience debugging S3-based HEIF image rendering issues.”

“Built and shipped production improvements to a Paylocity RAG-based AI assistant, redesigning retrieval into a hybrid HNSW + keyword pipeline and using tuned RRF to fuse rankings—cutting latency by ~2s and reducing token usage by ~5000. Previously spearheaded Apache Airflow integration across ETL pipelines at Acuity Knowledge Partners, creating reusable templates and automated triggers to reduce manual job monitoring.”

“Financial systems engineer who built an automated rebalance-day order reporting and analytics tool on kdb+ pipelines, cutting a high-visibility manual process from 2–3 hours to ~2 minutes and expanding it from North America to EMEA/APAC. Also proposed an early production RAG-based incident knowledge assistant trained on ServiceNow postmortems, with guardrails to scope retrieval by application.”

“IBM engineer who shipped an LLM-powered knowledge transfer platform (Transition Engine) for federal contract handoffs, deployed on a production OpenShift cluster in AWS GovCloud with FedRAMP-aligned compliance and strict data-boundary constraints. Led retrieval strategy, prompt engineering, and production deployment (PostgreSQL/Milvus/Keycloak), driving a reported 50% reduction in contract transition ramp-up time and positioning the tool for revenue-critical federal deals.”

“Entrepreneur building a bootstrapped AI-based personal agent (inspired by Claude desktop) aimed at making AI assistance accessible to non-technical users. Motivated by improving individuals' daily lives by helping them organize their day and offload simple, repeatable tasks; plans to explore VC/accelerator options but has not raised capital yet.”

Tom Dinwiddie

Screened

Executive IT Leader specializing in global SaaS, cloud transformation, and M&A integration

20y exp

“Technology executive/CTO-type leader with experience at ALLDATA defining and operationalizing an executive-prioritized roadmap, scaling distributed engineering teams (including expansion in Mexico and India), and modernizing products onto a containerized Google Cloud architecture. Highlights include 99.96% reliability, 38% maintenance cost reduction, and strong security/compliance posture (CyberArk, ISO27001, SOC2, SOX).”

Neha Baadadmath

Screened

Executive Software Engineering Leader specializing in Trading, Payments, and FinTech platforms

Phoenix, AZ18y exp

“Entrepreneurially minded operator with experience in trading-platform environments who prototyped a vector-database layer to generate contextual incident narratives and reduce MTTR/escalations. Also building a non-tech venture: luxury wine distribution into India and broader Asian markets, sourcing directly from wineries with a Master of Wine and planning tier-1 launch via restaurant-owner connections while navigating complex import duties and licensing.”

Vindhya Naidu

Screened

Mid-level Backend Software Engineer specializing in Java/Spring microservices and FinTech

Austin, TX5y exp

“Backend engineer with Apple experience who owned production platform improvements end-to-end, including a Redis caching layer that cut API latency ~35–40% and reduced DB load. Has hands-on on-call/incident response and observability (CloudWatch), plus experience scaling Docker/Kubernetes microservices and operating Kafka-based telemetry pipelines with schema evolution, deduplication, and replay/backfill handling.”

Kyle Bashy

Screened

Executive Engineering Leader specializing in cloud security platforms and enterprise applications

Remote, USA22y exp

“Owner and service provider of an IT practice exploring a transition into startup founding. Has spent ~15 years researching the VC/studio/accelerator landscape and evaluates new ideas through forecasting and stakeholder conversations, with a current focus on improving prospecting and qualified lead generation.”

“Engineer with hands-on experience shipping production Python integrations and designing for reliability from day one, including idempotency, retries, dead-letter handling, contract checks, and full observability. Also brings web automation experience with Puppeteer and has implemented high-availability failover using load balancer liveness checks, backup environments, and cold standby architecture.”

“Primary engineer at Customer Insights AI who built an end-to-end Python pipeline for 340B drug pricing compliance, using ML to detect suspicious pharmaceutical claims and benefit diversion. Stands out for combining healthcare compliance domain knowledge with production reliability practices, and for turning ambiguous analyst-driven review processes into automated workflows that cut manual review by 70%.”

“ML/GenAI engineer with hands-on experience shipping LLM-powered support systems at Uber, including real-time feedback analysis, ticket summarization, and retrieval-grounded knowledge systems. Stands out for combining fine-tuning, RAG, safety evaluation, and production optimization to drive measurable support outcomes like faster handling times, better resolution rates, and lower latency/cost.”

Jiajun Huo

Screened

Mid-level Software Engineer specializing in AI, data infrastructure, and LLM systems

Urbana, IL4y exp

“Built end-to-end data and automation systems at Sonic SVM, spanning Python/FastAPI/Kafka/Spark ingestion pipelines, warehouse analytics, and Playwright automation for brittle SSO-protected dashboards. Stands out for combining backend/data engineering with strong observability and reliability practices, plus a pragmatic ability to turn messy manual business processes into measurable self-serve workflows.”

Christopher Kirby

Screened

Executive engineering leader specializing in platform engineering, AI systems, and SaaS

Detroit, MI24y exp

“Senior engineering executive who has repeatedly rebuilt and scaled product engineering organizations in high-growth environments, including restarting Rocket Auto’s stack from scratch and hiring 100+ engineers during StockX’s hypergrowth phase. Particularly differentiated by being unusually hands-on for an executive leader, with active open source work and a strong focus on AI-native engineering workflows, developer automation, and modern architecture transformation.”

“Full-stack product engineer with deep JavaScript/TypeScript expertise who has led backend architecture for FanDuel's sportsbook platform and shipped high-scale systems serving roughly 400 million requests per day. Combines React/React Native product delivery with strong performance and resiliency engineering, including major latency gains, CDN/cache improvements, and features used by millions at both FanDuel and Max.”

Jahnavi Rao

Screened

Mid-level Full-Stack Software Engineer specializing in FinTech

USA5y exp

“Frontend-leaning full-stack engineer with Bank of America experience building production internal payment operations dashboards and modernizing legacy service integrations. Stands out for owning both design and implementation, from React/TypeScript UI architecture to Spring Boot APIs, with strong attention to performance, reliability, and production observability in complex financial systems.”

“IBM-based cloud and AI engineer with hands-on experience owning Azure deployment workflows end-to-end, including IaC, DevOps automation, and cost/performance optimization. Also built an edge-first hospital event-detection workflow combining vision, LLM orchestration, and privacy-preserving local processing in a Nvidia/Dell hackathon that won first place.”