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Vetted Apache Maven Professionals
Pre-screened and vetted.
Mid-level Software Engineer specializing in Cloud DevOps and MLOps
Mid-level Software Engineer specializing in Python, cloud tooling, and NLP/RAG systems
Senior Software Engineer specializing in Cloud DevOps & Platform Engineering
Mid-Level Software Engineer specializing in distributed backend systems and event-driven architecture
Mid-level Java Backend Engineer specializing in Financial Services
Mid-Level Software Engineer specializing in Java microservices and reactive systems
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices
Mid-Level Software Engineer specializing in Cloud-Native Platforms on AWS and Kubernetes
Senior Full-Stack Engineer specializing in event-driven systems for FinTech and Healthcare
Engineering Manager specializing in backend platforms, risk systems, and FinTech
Mid-level Full-Stack Software Engineer specializing in microservices and cloud-native systems
Mid-level Full-Stack Developer specializing in microservices and AWS DevOps
Mid-level DevOps Engineer specializing in cloud-native CI/CD and Kubernetes
Mid-level Software Engineer specializing in backend systems, distributed systems, and applied AI
Mid-Level Software Engineer specializing in cloud-native distributed systems
Mid-level Full-Stack Software Engineer specializing in cloud-native and AI-driven applications
Senior Site Reliability Engineer specializing in multi-cloud, Kubernetes, and observability
Chris Michaelson
Executive Engineering Leader specializing in cloud, DevSecOps, and large-scale platform modernization
“Co-founded a Digital Loss Prevention (DLP) startup and raised $6M in seed funding by showcasing a controlled, laptop-based technology demo. Post-funding, drove MVP planning and execution by sequencing operations and assembling a team to build an appliance MVP, using an iterative build/evaluate/visualize approach.”
Devisri Veeramachaneni
Senior Software Engineer specializing in cloud backend systems and LLM-powered agents
“Amazon Fire TV Devices engineer who built and shipped a production LLM-powered lab triage and validation system that grounds recommendations in internal runbooks/known-issue data and pushes evidence-based actions via dashboards and Slack. Emphasizes safety and measurability with structured JSON outputs, replay-based evaluation on historical incidents, and production metrics (e.g., disagreement rate and time-to-first-action), plus cost/latency optimizations like caching, batching, and rule-based fast paths.”