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Vetted Ansible Professionals
Pre-screened and vetted.
Senior AWS DevOps/Cloud Engineer specializing in secure Kubernetes platforms and IaC
VP of Engineering specializing in platform, microservices, and consumer marketplaces
Senior Software Engineer specializing in hybrid cloud, Kubernetes, and MLOps
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 Infrastructure Platform Architect specializing in hybrid cloud and Kubernetes automation
Senior Software Developer specializing in Python, AWS, and Big Data
Executive Technology & Data Leader specializing in AI/ML strategy and digital transformation
Mid-Level Software Engineer specializing in backend microservices and cloud-native ML platforms
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
Director of Architecture specializing in AdTech, AI/ML, and large-scale cloud platforms
Senior Site Reliability Engineer specializing in multi-cloud, Kubernetes, and observability
Senior Data Engineer specializing in cloud data platforms and big data pipelines
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.”