Pre-screened and vetted.
Mid-Level Full-Stack Software Developer specializing in Java/Spring, React, and AWS
“Full-stack engineer with end-to-end ownership experience, including building a real-time campaign/inventory dashboard at P&G using React/TypeScript, Spring Boot, GraphQL/REST, Redis, Docker, and AWS (EC2/RDS/S3) with Prometheus/Grafana observability. Demonstrates strong performance and reliability focus (p95 tuning, caching, idempotent event-driven ingestion with DLQs/reconciliation) and has shipped MVPs in ambiguous early-stage environments.”
Mid-Level Software Developer specializing in backend, cloud, and GenAI
“Full-stack engineer with fintech and AI feature experience who shipped an AI-powered project summary module in Next.js (App Router + TypeScript) with secure server-side fetching and route handlers to a FastAPI backend, then owned monitoring and performance fixes in production. Demonstrated measurable UX wins (30% faster dashboard loads) and strong backend fundamentals (Postgres indexing/EXPLAIN ANALYZE, SQS-orchestrated idempotent reconciliation workflows with DLQs and retries).”
Mid-level Robotics & AI Researcher specializing in human-robot interaction and reinforcement learning
“Robotics software engineer who built an end-to-end mobile manipulation platform (Franka Panda on a Clearpath Ridgeback) for a simulated-kitchen human-robot interaction study with natural speech commands, implemented in Python/ROS. Has hands-on experience integrating diverse sensors (RealSense, LiDAR, biosignals) with deep learning frameworks (PyTorch, Hugging Face) and fine-tuning GPT-Neo, plus simulation (Gazebo) and modern deployment practices (Docker/Kubernetes, CI/CD).”
Staff Frontend Engineer specializing in React, TypeScript, and scalable UI systems
“Frontend-focused engineer operating at a staff level with experience at Amazon and startups, known for rescuing high-impact, frontend-heavy systems through architecture, performance, and quality improvements. Delivered outsized results including cutting load times from ~90s to ~3s, raising test coverage from <1% to >80%, and enabling multi-team adoption of modern state management via training sessions for 50+ engineers.”
Mid-level Software Developer specializing in FinTech microservices and cloud-native systems
“Full Stack Engineer in fintech (JPMorgan) who owns products end-to-end across React UIs and Spring Boot/Kafka backends, with a strong track record of shipping quickly while maintaining reliability via testing, monitoring, and feature flags. Has hands-on experience scaling microservices for high-volume transactions and debugging production latency using ELK/CloudWatch, plus built an internal Python/Flask automation tool adopted by backend engineers to speed API validation and debugging.”
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices and FinTech
“Backend/DevOps-focused engineer with healthcare and financial systems experience, including an ICU readmission risk platform delivering real-time ML scores via a secure FastAPI service (PyTorch model serving, PostgreSQL, Celery/Redis) deployed on AWS with strong observability. Has hands-on Kubernetes GitOps delivery (Helm, ArgoCD, HPA) and has supported a JPMC on-prem-to-AWS microservices migration using phased validation and blue-green cutovers, plus Kafka/Avro streaming for real-time transaction processing.”
Senior Engineering Manager specializing in platform, data/ML, and identity/access systems
“Senior engineering leader from Goodyear’s AndGo startup-like division who scaled the org from 12 to 30+ across pod-based teams and introduced an Architect Guild/ARD governance model. Led a 4-month Europe launch requiring AWS regional infrastructure, GDPR compliance, i18n/l10n, and new EMEA reporting pipelines, and has hands-on depth in API performance, incident response, and GraphQL/Hasura adoption to boost product velocity.”
Senior Software Engineer specializing in Cloud DevOps and AWS automation
“Backend/automation engineer who led the design of an OOP Python test automation framework for AWS infrastructure (Behave + Jenkins), cutting regression effort from weeks to a 3–4 hour run. Has hands-on cloud and DevOps experience across AWS (boto3, ECS, AMI automation via GitHub Actions) plus data/migration work including on-prem-to-cloud Oracle Retail DB migration with rollback planning and a Kafka + ML fraud-detection streaming pipeline.”
“QA tester with hands-on experience across web, mobile, and API testing, including requirements gathering, test planning/case creation, and executing system/regression/UAT. While new to console game testing and platform certification checklists (TRC/XR/LOT), they emphasize strong testing fundamentals, API automation experience, and using AI tools to ramp up quickly.”
Senior Full-Stack Engineer specializing in AI/LLM and cloud-native SaaS
“Software engineer with strong end-to-end ownership across frontend, backend, data, and infrastructure, including real-time systems (Kafka/Postgres) and observability (Datadog). Built and productionized an AI-native RAG support assistant (OpenAI embeddings + Pinecone) with prompt/guardrail design, achieving 48% agent adoption and 30% faster responses. Experienced in legacy modernization and reliability work using feature flags, event/transaction replay, and rapid embedded delivery.”
Junior Game Designer/Unity Developer specializing in systems and combat design
“MMORPG numerical/economy designer who built and tuned a dual-currency system (gold/agate), progression gates, and late-game sinks using quantitative models (including exponential curves) and telemetry segmentation by player level/assets. Implemented engagement drivers like roguelike repeatable dungeons and weekly leaderboard rewards, and partnered cross-functionally to resolve economy risks such as item tradability to keep outputs stable and controllable.”
Senior Full-Stack AI Engineer specializing in Azure OpenAI and RAG/GraphRAG systems
“Built GoEngineer’s first production AI systems, including an end-to-end RAG pipeline for SolidWorks technical support using Azure Blob Storage, Azure AI Search, and Azure OpenAI, plus an AI summarization feature adopted by sales/customer success. Strong in productionizing LLM workflows with evaluation harnesses (golden sets, LLM-as-judge, red teaming, shadow deploys) and Azure infrastructure integrations (Redis, Service Bus, App Insights), and has also implemented a custom MCP server for agentic monitoring.”
Mid-level Backend/Platform Engineer specializing in data pipelines, reliability, and AI-assisted ingestion
“Backend engineer who built and scaled a blockchain-based e-voting platform at early-stage startup Elemential Labs, balancing decentralization with real-world operability by centralizing control-plane components while keeping the ledger immutable. Has hands-on experience migrating high-throughput ingestion from Kafka to AWS Kinesis with parallel cutover, strengthening data integrity and read-after-write consistency (Elasticsearch), and hardening pipelines against silent data-quality failures via anomaly detection and self-healing automation.”
Mid-Level Full-Stack Software Developer specializing in cloud-native microservices and web apps
Mid-level Full-Stack Java Developer specializing in microservices and cloud-native platforms
Senior Software Engineer specializing in Python, cloud microservices, and full-stack web apps
Mid-level Software Developer specializing in Java, Spring Boot, and microservices in Healthcare and FinTech
Junior Software Developer specializing in IoT data pipelines and automation
Mid-Level Full-Stack Software Engineer specializing in cloud microservices and AI/ML
Mid-Level Full-Stack Java Developer specializing in cloud microservices and compliance platforms
Mid-level Full-Stack Engineer specializing in cloud-native MERN and Django systems
Mid-level Solutions Engineer specializing in cloud, data analytics, and AI/LLM solutions
Mid-Level Software Engineer specializing in AI-enabled web applications