Pre-screened and vetted in Virginia.
Entry-Level Software Engineer specializing in AWS cloud infrastructure and distributed systems
“Robotics software engineer with hands-on ROS 2 experience who helped build an autonomous 5-DOF robotic arm that plays Backgammon, owning perception (OpenCV) and game-logic while adding robustness features like lighting tolerance and auto-calibration. Also worked on a Raspberry Pi/LiDAR car project, improving mapping accuracy through data-logged calibration and contributing to multi-robot collision-avoidance coordination via a server-based pub/sub system.”
Staff Software Engineer specializing in distributed systems and platform architecture
“Built a production LLM-powered data ingestion workflow at Provi, an online alcohol marketplace, to clean and match millions of distributor inventory items against a product catalog. Their experience is strongest in applying LLMs to real-world, large-scale data operations with AWS Glue, S3, batching, API integration, human review, and drift detection.”
Mid-Level Software Engineer specializing in AWS cloud-native distributed systems
Mid-Level Software Development Engineer specializing in cloud microservices and retail systems
Staff Software Engineer specializing in agentic AI and conversational systems
Junior Software Development Engineer specializing in cloud security and CI/CD
“Backend/security-focused engineer supporting a service with 100k+ monthly users. Built an automated load-testing suite that reproduced and mitigated catastrophic host failures from oversized SCP/rsync transfers via host-level throttling, and proposed a future sharding approach for very large transfers. Also created an internal agent to summarize anomalous metrics and provide ready-to-run debug queries, significantly reducing ops review time.”
Mid-level Software Engineer specializing in cloud automation and data/ETL platforms
“Backend engineer with AWS multi-region production experience building APIs and workflow automation for data center/storage hardware operations (firmware orchestration, maintenance checks, ticketing, dashboards). Also shipped an internal AI chat tool that parses hardware runbooks and incorporates user feedback to retrain the model, and has a strong testing/quality discipline (95%+ coverage) plus database performance tuning via indexing and query monitoring.”
Mid-level Software Engineer specializing in full-stack distributed systems
Mid-level Software Engineer specializing in cloud, backend, and healthcare systems
“Full-stack engineer with hands-on ownership of a customer-facing advanced performance metrics experience in the Amazon S3 console, spanning React UI, Python/Node services, Redshift/RDS data access, and AWS IaC/CI-CD with CloudWatch/Route53 operational readiness. Demonstrates strong production instincts around resilience (partial failures, multi-region inconsistencies), progressive rollouts/feature flags, and reliable ETL/integration patterns (idempotency, backfills, reconciliation).”
Mid-Level Software Development Engineer specializing in cloud-native microservices
Junior Software Development Engineer specializing in AWS backend and distributed systems
Mid-Level Backend Software Engineer specializing in AWS cloud-native microservices
Mid-Level Full-Stack Software Engineer specializing in Java/Spring and MERN on AWS
Junior Full-Stack Software Engineer specializing in Cloud, DevOps, and AI/ML
Mid-level Software Engineer specializing in AI systems and distributed platforms
“Built OpenGPU features spanning React/TypeScript, Go orchestration, PostgreSQL, Redis, and Stripe, with a strong focus on reliability, transaction integrity, and low-latency distributed systems. Also shipped LLM product infrastructure, including persona-conditioned frameworks and reusable prompt/model abstractions, showing a blend of systems engineering and fast product iteration.”
Mid-level Software Engineer specializing in distributed systems and healthcare IT
“Full-stack engineer with experience in both healthcare and transportation, owning products from requirements through production support. Built a secure patient-records pipeline at CORAnet using Spring Boot, AWS S3, Docker, and Terraform, and shipped a real-time operational metrics dashboard at BNSF with Java, React/TypeScript, and Kafka. Stands out for combining backend architecture depth, infrastructure ownership, and pragmatic UI simplification.”
Mid-level AI Engineer specializing in LLMs, RAG, and cloud-native MLOps