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Vetted Datadog Professionals
Pre-screened and vetted.
Mid-level Backend Software Engineer specializing in AWS microservices and REST APIs
Junior Full-Stack Software Engineer specializing in ML, cloud infrastructure, and LLM agents
Senior Production Support Engineer specializing in Java applications and cloud operations
Mid-level DevOps Engineer specializing in multi-cloud Kubernetes and CI/CD automation
Mid-level AI Backend Engineer specializing in LLM applications and scalable ML services
Mid-level AI Backend Engineer specializing in LLM applications and scalable ML services
Mid-Level Software Engineer specializing in distributed systems and FinTech
Engineering Leader specializing in growth platforms and transaction systems
Senior Full-Stack & AI/ML Engineer specializing in cloud-native platforms and LLM systems
Principal DevOps/SRE Engineer specializing in multi-cloud infrastructure and DevSecOps
Senior DevOps / Cloud / Site Reliability Engineer specializing in AWS and Kubernetes
Mid-Level Software Engineer specializing in AI platforms and backend systems
Executive CTO/VP Engineering specializing in high-performance AI, data systems, and distributed infrastructure
Senior QA Engineer specializing in test automation, API and performance testing
Matthew Mullins
Senior Software Engineer specializing in AI/ML backend and cloud infrastructure
“Backend/data platform engineer with production experience at Walmart and Molina Healthcare, building Python microservices on AWS (EKS + Lambda) for real-time inventory and recommendation systems. Strong in reliability/observability and incident leadership, plus modernizing legacy healthcare workflows and building resilient AWS Glue/PySpark pipelines with schema evolution and data quality controls.”
Abhyush Rajak
Mid-level Backend Software Engineer specializing in FinTech APIs and microservices
“Backend/event-driven systems engineer who built an end-to-end “software robot” for AI-driven invoice processing: FastAPI ingestion + OCR integration + classification mapping, with strong emphasis on reliability (idempotency, retries) and scalability (background workers, event-driven architecture). Experienced in production-grade distributed systems tooling (Kafka, Docker/Kubernetes, GitHub Actions, ArgoCD) and real-time debugging via tracing/telemetry, and expects $10k–$12k/month.”
Omolara Okubanjo
Senior DevOps/DevSecOps Engineer specializing in AWS & Azure cloud infrastructure
“Infrastructure/DevOps-focused engineer working across Linux-based enterprise platforms that include IBM Power/AIX in a broader OpenShift/Kubernetes and cloud ecosystem. Built Azure DevOps CI/CD for containerized deployments and resolved a production deployment failure by tracing ImagePullBackOff to outdated registry credentials in Kubernetes secrets. Uses Terraform (with modular structure) plus Ansible to provision and standardize production environments with pipeline-based validation.”