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Vetted Log Analysis Professionals
Pre-screened and vetted.
Mid-Level Software Engineer specializing in backend systems, cloud infrastructure, and applied LLMs
Mid-Level QA Engineer specializing in web/app manual testing and test management
Mid-level Systems Engineer specializing in identity and application security for enterprise SaaS
Mid-level Customer Success Engineer specializing in application security onboarding
Mid-level Software Developer specializing in SQL Server and Azure data platforms
Mid-level QA Automation Engineer specializing in UI/API automation and CI/CD testing
Senior QA Analyst specializing in trading platforms, FIX protocol, and AI/LLM validation
Mid-level DevOps/Platform Reliability Engineer specializing in AWS and Kubernetes
Senior Software Test Engineer specializing in web, desktop, and API testing
Mid-level Robotics & Computer Vision Engineer specializing in GPS-denied autonomy
Senior DevOps/Platform Engineer specializing in CI/CD automation and regulated infrastructure
Senior Software Engineer specializing in Python and AWS cloud-native backend systems
Senior Backend Developer specializing in AWS serverless and data pipelines
Senior Software Engineer specializing in cloud microservices and real-time data platforms
Senior AWS DevSecOps Engineer specializing in cloud security and CI/CD automation
Junior Software Engineer specializing in C++/Python systems for real-time FinTech platforms
Junior Backend Engineer specializing in distributed systems and platform reliability
Senior Backend Developer specializing in AWS-native Python systems and data workflows
Mid-Level Backend Java Developer specializing in Spring Boot and REST APIs
Mid-level Software QA Tester specializing in SIT/UAT for mobile and web apps
Mid-level Cloud & DevSecOps Engineer specializing in AWS, Java microservices, and SOC operations
Sree Gautham Alluri
Mid-level Robotics & AI Developer specializing in autonomous navigation and LLM-powered robotic systems
“Robotics Support Engineer at HAI Robotics supporting a 385-robot warehouse fleet at a Shein client site. Built a production automation and reporting workflow to diagnose and resolve abnormal shelf locations, cutting incidents from ~250/day to ~25/day while providing actionable root-cause data to client/ops/maintenance. Hands-on ROS 2 (Humble) debugging across Nav2/localization/TF and sensor integration issues including QoS and firmware coordination.”