Pre-screened and vetted.
Mid-level Full-Stack Developer specializing in Python and Next.js cloud-native systems
Mid-level Data Engineer specializing in cloud data pipelines and full-stack analytics
Mid-level Full-Stack .NET Developer specializing in Angular, Azure, and AI integrations
Senior .NET Developer specializing in cloud-native microservices and modern web apps
Senior Full-Stack Developer specializing in Python, Django, React, and cloud-native SaaS
Senior Cloud DevOps & Security Engineer specializing in AWS/Azure, Kubernetes, and compliance
Senior Engineering Leader specializing in e-commerce platforms and distributed systems
“Engineering leader who delivered a Magento-to-Shopify rebuild ahead of schedule while maintaining 100% team retention over 4 years at Hydrobuilder Holdings. Also built and ran a concert-listing platform (TourVolume) in production for 12+ years (Webby Honorable Mention) and later open-sourced the full codebase. Deep experience in auth/API platforms on AWS, including moving critical auth services from Lambda to ECS to eliminate cold-start latency.”
Principal Software Architect specializing in Healthcare IT and cloud-native systems
Senior DevSecOps Engineer specializing in cloud security and CI/CD automation
Senior Platform/DevSecOps Engineer specializing in Kubernetes and secure cloud platforms
Senior Software Engineer specializing in backend systems, cloud infrastructure, and applied AI/ML
Senior Backend Engineer specializing in cloud-native microservices and AI integrations
Senior Backend Python Engineer specializing in cloud-native APIs and data platforms
Senior Software Engineer / DevOps specializing in cloud-native distributed systems
Director-level Mobile & Full-Stack Software Engineer specializing in Android and cloud-native apps
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.”
Senior Python Developer specializing in AWS, microservices, and data pipelines
“Backend/data engineer with strong AWS production experience spanning serverless APIs and containerized workers (Lambda, API Gateway, ECS) plus data pipelines (Glue, S3, Athena/Redshift). Has modernized legacy SAS/cron batch systems into Python/AWS with parallel-run parity validation and low-risk cutovers, and has owned ETL incidents end-to-end (CloudWatch detection, backfills, and preventative controls). Targeting $130k–$150k base and strongly prefers remote, with occasional Bethesda onsite acceptable.”
Senior Backend Software Engineer specializing in AWS cloud-native data platforms
“AWS-focused Python backend/data engineer who builds production analytics APIs and ETL pipelines using API Gateway, Lambda, Step Functions, ECS, Glue, S3, and RDS. Strong in operational reliability and performance tuning (including SQL indexing/partitioning) and has modernized legacy SAS statistical processing into validated Python services with phased rollouts and stakeholder sign-off.”
Senior Python Full-Stack Engineer specializing in AWS media processing platforms
“Lead developer on a Warner Brothers Discovery media management platform, building Python/Flask APIs and AWS-based workflows. Delivered a serverless search overhaul (Lambda + API Gateway + OpenSearch Serverless) while maintaining parity with legacy Rekognition tag-based search, and implemented event-driven ETL (SNS/SQS) to ingest/validate CSV metadata into PostgreSQL with strong logging and incident response practices.”
Mid-level Full-Stack Software Engineer specializing in cloud microservices and AI search
“Robotics software engineer focused on backend/integration for indoor autonomous mobile robots, with hands-on ROS 2 experience integrating Nav2/AMCL/TF2 and LiDAR/camera pipelines. Emphasizes production readiness—robust failure recovery, QoS-tuned distributed communication, and strong observability (logging/health checks)—validated through Gazebo simulation, sensor-data replay debugging, and Docker-based CI/CD deployment.”
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.”