Pre-screened and vetted.
Junior Software Engineer specializing in backend microservices and cloud-native systems
Senior Backend Python Engineer specializing in cloud-native APIs and data platforms
Mid-level QA Automation Engineer specializing in healthcare test automation and DevOps
Mid-Level Full-Stack Java Developer specializing in Spring Boot, React, and AWS
Mid-level Cloud/DevOps Engineer specializing in AWS automation and CI/CD
“AWS Cloud DevOps Engineer focused on production Linux environments, building secure CI/CD pipelines (Jenkins/GitHub) to deploy Dockerized services to AWS ECS and automating infrastructure with Terraform/CloudFormation. Strong in operational troubleshooting and scaling (CloudWatch-driven performance remediation, Auto Scaling/ELB, multi-AZ HA patterns), but explicitly does not have IBM Power/AIX or PowerHA/HACMP experience.”
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices and FinTech
“Software engineer/product-minded builder who owns customer-facing products end-to-end and ships in 1–2 week increments using CI/CD, automated testing, and feature flags. Built a TypeScript/React/Node platform that cut page load times by 40% and scaled to 3x concurrent users, and designed RabbitMQ-based microservices with Prometheus/Grafana monitoring. Also delivered an internal real-time support analytics dashboard that reduced response times by 30%.”
Junior Data Engineer specializing in data pipelines and streaming ingestion
“Backend/data platform engineer who owned a near-real-time patient feedback ingestion system, building a FastAPI + Kafka service with Snowflake/Airflow orchestration. Demonstrates strong production Kubernetes/GitOps practices on AWS EKS (Helm, Argo CD, Sealed Secrets) and solved real-time data integrity issues via idempotent processing with Redis.”
Mid-Level Data Engineer specializing in cloud data pipelines and big data platforms
“Data engineer with ~4 years of experience building Python-based data ingestion/processing services and real-time streaming pipelines (Kafka/PubSub + Spark Structured Streaming). Has deployed containerized data applications on Kubernetes with GitLab CI/Jenkins pipelines and applied GitOps to cut deployment time ~40% while reducing config drift. Also supported a legacy on-prem data warehouse/backend migration to GCP using phased migration and parallel validation to meet strict reliability/SLA needs.”
Mid-level Software Engineer specializing in cloud, DevOps, and distributed systems
Senior DevSecOps/Cloud Engineer specializing in CI/CD and Infrastructure as Code
Mid-level Backend Software Engineer specializing in Java microservices and cloud platforms
Mid-level Software Engineer specializing in AI and cloud-native data platforms
Senior Full-Stack Engineer specializing in cloud-native platforms, DevOps, and Kubernetes
Mid-level QA Engineer specializing in test automation for healthcare and financial platforms
Mid-Level Software Engineer specializing in distributed systems and cloud platforms
Mid-level Software Developer specializing in DevOps, CI/CD, and AWS Kubernetes
Mid-level DevOps Engineer specializing in Azure cloud infrastructure and CI/CD
Senior QA Engineer specializing in game and interactive application testing
Senior Software Engineer & Engineering Lead specializing in Unreal/Unity VR training and multiplayer
Junior Data Engineer specializing in cloud ETL/ELT and lakehouse platforms