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Vetted Datadog Professionals
Pre-screened and vetted.
Senior Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Senior Full-Stack Software Engineer specializing in Python/Django, React, and AWS
Mid-level AI Engineer specializing in LLM safety, red teaming, and evaluation
Senior Full-Stack Java Developer specializing in cloud-native microservices for FinTech
Senior Full-Stack & AI Engineer specializing in FinTech and Healthcare
Senior Cloud & DevOps Engineer specializing in AWS migration, IaC, and CI/CD
Mid-level Full-Stack Engineer specializing in SaaS, HR Tech, and distributed backend systems
Director-level Engineering Leader specializing in scalable cloud platforms and real-time AI systems
Staff/Lead DevOps & Site Reliability Engineer specializing in cloud infrastructure and Kubernetes
Kirtiranjan Maharana
Mid Frontend Engineer specializing in AI-driven web platforms
“Frontend/product-focused engineer who helped build Cheiron.bio from no product to production, owning major parts of an AI-powered search and document intelligence experience for bio-pharma researchers. Stands out for combining React/Next.js/TypeScript architecture depth with strong product thinking around AI workflows, citations, streaming interactions, and responsive UX in complex, data-heavy interfaces.”
Jeet Choksi
Mid-level Machine Learning Engineer specializing in real-time AI and data platforms
“ML/NLP engineer who has built production systems end-to-end: a real-time recommendation platform (100k+ profiles) using BERTopic-style clustering and a RAG-based news summarization/recommendation stack with ChromaDB. Strong focus on scaling and reliability (GPU batching, Redis caching, Kafka ingestion, Docker/Kubernetes, Prometheus/Grafana) and on maintaining model quality over time via drift monitoring and retraining triggers.”
AjayEshwar Venkatesan
Intern Network/Applied Engineer specializing in cloud security and Kubernetes
“Security-focused engineer with hands-on experience implementing and troubleshooting security tooling (including an open-source SIEM) and integrating SCA/container scanning into AWS/EKS and GitHub Actions pipelines. Demonstrates strong cloud security fundamentals (least-privilege IAM, IRSA, private subnet/VPC design, CloudTrail/GuardDuty) and can translate security-usability tradeoffs (e.g., password policy and 2FA) to different stakeholders.”
Mid-Level Full-Stack Software Engineer specializing in React Native and TypeScript
Mid-level Software Engineer specializing in cloud microservices and AI search
Mid-level AI Engineer specializing in LLM agents, RAG, and evaluation
Senior Full-Stack Engineer specializing in Python/Flask, React, and autonomous AI systems
Thimone Noupa
Mid-level DevOps Engineer specializing in AWS, Kubernetes, and CI/CD automation
“DevOps/cloud infrastructure engineer focused on AWS automation: built GitHub Actions/Jenkins pipelines for containerized deployments with strong security controls and rollback, and implemented Terraform-based AWS provisioning with modular code and remote state/locking. Has led on-prem to AWS migration cutovers with structured risk/rollback planning and stabilization, but has not worked directly with IBM Power/AIX/LPARs or PowerHA/HACMP.”
Mid-level Software Engineer specializing in UI platforms and FinTech systems
Muhammad Irfan Syarif Anwar
Mid-level QA Engineer specializing in manual, regression, and API testing
“QA tester with 5 years of manual testing experience across Android and web, plus manual and automated API testing. No console game testing background yet, but highly interested in transitioning into game testing and open to learning console certification requirements. Prefers a structured environment and a standard 9-to-5 schedule.”