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Vetted Oracle Database Professionals
Pre-screened and vetted.
Mid-Level Software Engineer specializing in Java microservices and reactive systems
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Principal Customer Success Leader specializing in Enterprise SaaS and Cloud Transformation
Senior Software Engineer specializing in cloud-native microservices and real-time data pipelines
Mid-level Data Engineer specializing in cloud lakehouse and streaming analytics
Junior Software Engineer specializing in cloud infrastructure and database tooling
Engineering Manager specializing in backend platforms, risk systems, and FinTech
Mid-level Full-Stack Developer specializing in AI-driven FinTech platforms
Executive Technology & Data Leader specializing in AI/ML strategy and digital transformation
Mid-level Full-Stack Developer specializing in microservices and AWS DevOps
Executive CIO/CTO specializing in healthcare IT, privacy compliance, and enterprise application delivery
Mid-level Software Engineer specializing in cloud API authorization and distributed backend systems
Yousif Aluzri
Senior UNIX/Linux Systems Engineer specializing in telecom mobility and automation
“Commercial UNIX specialist and former tech lead for a UNIX-based telco appliance spanning 11 SPARC Solaris servers, with strong Solaris troubleshooting (truss/iostat/netstat/snoop) and extensive shell scripting automation for safer, more consistent operations. Has executed multiple Solaris major-version migrations (6→8→10→11) and brings broad cross-UNIX platform experience (Solaris/SunOS/HP-UX/IRIX/OSF/1), while actively looking to deepen hands-on AIX/IBM Power expertise.”
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.”
Rohith Sadanala
Mid-level Machine Learning Engineer specializing in Generative AI and MLOps
“LLM/agent engineer who has shipped production RAG chatbots in sustainability-focused domains, including a packaging recommendation assistant that standardized messy user inputs and used Pinecone-backed retrieval over product/regulatory data. Experienced orchestrating end-to-end ML workflows with Airflow and AWS Step Functions/Lambda, emphasizing reliability (property-based testing, circuit breakers, OpenTelemetry) and measurable performance (latency/cost). Partnered closely with non-technical leadership to ship 3 weeks early, driving adoption by 150+ businesses and ~20% reported waste reduction.”
Mahesh Purushothaman
Senior Director of Software Engineering specializing in cloud-native microservices for streaming platforms
“Engineering leader who drove TiVo IPTV’s client-facing API modernization from a monolith to AWS-based microservices (API Gateway, Lambda, EKS, Kafka, DynamoDB/RDS), including phased/blue-green production routing of millions of calls. Emphasizes org scaling through skill-based hiring, mentorship, and a you-build-you-run ownership culture, while balancing technical leadership with executive stakeholder communication and budgeting.”
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.”