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Vetted Ansible Professionals
Pre-screened and vetted.
Mid-level DevOps Engineer specializing in AWS cloud infrastructure and CI/CD
Mid-level Full-Stack Developer specializing in Python/Django and React
Senior Software Engineer specializing in cloud-native full-stack and FinTech systems
Senior Linux/AIX Systems Administrator specializing in enterprise automation and cloud infrastructure
Junior Software Engineer specializing in cloud platforms and backend security
Mid-level Software Engineer specializing in Cloud DevOps and MLOps
Mid-level Software Engineer specializing in AI-driven systems and scalable backend services
Director-level Software Engineering Leader specializing in AI, data, security, and cloud
VP of Engineering specializing in platform, microservices, and consumer marketplaces
Senior Backend Engineer specializing in cloud-native Python microservices
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Staff/Lead Cloud & DevOps Engineer specializing in SRE and multi-cloud infrastructure automation
Senior Software Developer specializing in Python, AWS, and Big Data
Executive Technology & Data Leader specializing in AI/ML strategy and digital transformation
Senior DevSecOps & Observability Engineer specializing in cloud automation and STIG compliance
Mid-level DevOps Engineer specializing in cloud-native CI/CD and Kubernetes
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.”
Nagatheja Sharaf
Mid-Level Software Engineer specializing in cloud-native systems, automation, and LLM-enabled robotics
“React-focused engineer who built a full-stack analytics/test-metrics dashboard (React frontend + Python backend) and turned common UI pieces (data tables, filter panels, chart wrappers) into a reusable internal component library with docs, examples, and basic tests. Strong on profiling-driven performance optimization (React Profiler, memoization) and on owning ambiguous internal-tool projects end-to-end; now planning to package internal patterns into public open-source components.”
Varshith Dupati
Mid-level Software Engineer specializing in AWS, full-stack development, and AI data systems
“Backend engineer who built a Python-based data profiling/statistics platform processing up to 50M rows and ~300 metrics, using a DAG execution model, multithreading, and smart caching to cut processing time by up to 70%. Also improved PostgreSQL query performance from 12s to 2s via indexing/query rewrites, integrated an LLM (LangChain + OpenAI) for explainable “chat with the pipeline” functionality, and designed an AWS EC2+SQS architecture for scalable, isolated per-user processing.”