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Vetted Engineering Professionals in Arizona
Pre-screened and vetted in Arizona.
Popular Titles
Mid-level Full-Stack Java Developer specializing in microservices and cloud platforms
Entry-Level Software Engineer specializing in cloud migrations and microservices
Senior Manual QA Engineer specializing in mobile, web, and API testing
Junior Full-Stack Software Engineer specializing in cloud systems and real-time collaboration
Junior Software Engineer specializing in cloud-native APIs and machine learning
Mid-level QA/Systems Engineer specializing in automotive infotainment and manufacturing software
Mid-level Salesforce Developer specializing in multi-cloud CRM and enterprise integrations
Director of Web Solutions specializing in SaaS, CRM, and web platform delivery
Senior Backend Engineer specializing in cloud-native microservices and real-time data platforms
Mid-Level Software Engineer specializing in AWS cloud and AI/ML solutions
Junior Full-Stack Software Engineer specializing in cloud, data pipelines, and web apps
Senior Full-Stack .NET Developer specializing in cloud-native microservices
Entry-Level Software Developer specializing in cloud data pipelines and full-stack development
Mid-level Physical Design Engineer specializing in low-power SoC RTL-to-GDSII
Junior Software Engineer specializing in full-stack and backend development
Senior DevOps/SRE Engineer specializing in Azure cloud engineering and IaC automation
Senior Software Engineer specializing in data ingestion, web crawling, and ETL pipelines
Senior Software Engineer specializing in game development, VR/XR, and multiplayer systems
Senior Salesforce Technical Lead specializing in Healthcare and Insurance platforms
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices
Manikandan Krishnan
Senior Platform Engineering Lead specializing in AWS Cloud & DevSecOps
“Infrastructure/Platform-focused engineering leader who led a large-scale AWS modernization, standardizing Terraform IaC and embedding security/policy validation into CI/CD to reduce drift and improve auditability. Also delivered data reliability improvements by incrementally migrating key integrations to an event-driven Kafka model with DLQs and lag monitoring, and has hands-on incident leadership using observability tooling (New Relic).”