Pre-screened and vetted.
Senior QA Test Analyst specializing in game and service testing
“Game QA/automation tester with experience at Blizzard, Bossfight Entertainment, and Netflix, spanning manual-to-automation transitions, Selenium/C# UI automation, and CI/CD nightly reporting via TestRail. Known for an end-user-driven test strategy, strong defect isolation (including crash dumps), and cross-functional test planning that influenced multiplayer UX/design decisions.”
Executive Engineering Leader specializing in cloud services, distributed systems, and networking
“Amazon engineering leader (15+ years) targeting Senior Manager/Director roles, with deep ownership of contact-center latency and reliability initiatives. Shipped a global production improvement cutting call latency 30–40% and led a complex Citrix SDK integration, including incident response and a backward-compatible rollout strategy to protect existing customers while enabling new features.”
Senior Full-Stack Engineer specializing in serverless AWS and event-driven systems
“Backend/data engineer with experience at AWS and Intuit building and operating production serverless systems and data pipelines. Delivered an internal AWS TV video-processing platform using Step Functions/Lambda/S3/DynamoDB with strong reliability and cost controls, and built Glue-based ETL for compliance/risk events (Kafka to partitioned Parquet). Also modernized legacy compliance systems into Java/Node event-driven services and has demonstrated measurable SQL tuning impact (200s to 20s).”
Intern Machine Learning & AI Engineer specializing in computer vision and ML systems
“Robotics/ML engineer with internship experience at Valeo building a deep-learning prototype to replace parts of a legacy SLAM backend for autonomous parking, focused on making models run reliably in real time on embedded hardware (quantization/distillation + TensorRT). Also brings strong MLOps/deployment experience (Docker, Kubernetes on AWS EKS, CI via GitHub Actions) and has supported patent filing by explaining the technical approach to legal stakeholders.”
Mid-level QA Engineer specializing in hardware/software device validation and automation
“QA professional with experience at Google and Meta, focused on end-to-end functional/regression testing, disciplined bug reporting (including ADB logs), and release readiness via staging build promotion and gating on critical/high-priority issues. Emphasizes PRD-driven test planning, edge-case coverage (e.g., low connectivity/low battery), and thorough verification across build versions.”
Mid-level Machine Learning Engineer specializing in LLMs, generative AI, and MLOps
“Built and shipped a production LLM-powered medical scribe that generates structured clinical visit summaries using RAG, strict JSON schemas, and post-generation validation to reduce hallucinations. Experienced in making LLM workflows deterministic and observable (structured logging/metrics/tracing) and in evaluation-driven iteration with metrics like schema pass rate and edit rate; collaborated closely with clinicians and policy stakeholders at Scale AI to drive adoption.”
Director-level QA Engineering Manager specializing in cloud platform quality & reliability
“AWS engineering manager leading delivery for an end-to-end encrypted communications product (calling/messaging/screen sharing), including shipping read receipts with full design/engineering/QA ownership. Demonstrated strong customer-driven problem solving (offline/mission users enrollment via admin one-time codes with account allowlisting) and reliability improvements (data retention bot crash RCA, monitoring/notification, and high-volume test simulation).”
Mid-level Python Backend Developer specializing in cloud-native microservices and AI/ML platforms
“Backend/AI engineer who built a production GPU-backed real-time inference API at Nvidia and debugged burst-induced tail latency, cutting P95 by ~29% through dynamic batching and backpressure. Also shipped an end-to-end RAG + agentic operational diagnostics assistant with strict tool controls, evidence citation, confidence gating, and strong production guardrails, plus demonstrated hands-on Postgres optimization (900ms to 40–60ms).”
Entry Robotics Test Engineer specializing in ROS 2 mobile manipulation and QA automation
Senior SQA Engineer specializing in streaming media, consumer devices, and connectivity testing
Senior QA Engineer specializing in VR/AR, gaming, and AI product quality
Mid-level Software Engineer specializing in full-stack cloud and data applications
Senior Agentic AI & Backend Engineer specializing in LLM platforms and multi-agent systems
Intern AI/ML Engineer specializing in LLM agents, RAG, and low-latency systems
Senior Applied Scientist specializing in LLMs, GenAI systems, and AutoML
Senior Software Engineer specializing in scalable backend microservices and cloud platforms
Intern Software Engineer specializing in ML and data pipelines
Staff Machine Learning Engineer specializing in LLMs and cloud-native AI platforms
Junior financial engineering analyst specializing in portfolio analytics and data science
Intern Software Engineer specializing in ML and data pipelines