Pre-screened and vetted.
Senior Backend Engineer specializing in Java microservices and distributed systems
Senior Full-Stack Engineer specializing in scalable web, mobile, and cloud platforms
Senior Software Quality Assurance Engineer specializing in mobile, web, and video game QA
Senior SQA Engineer specializing in test automation, CI/CD quality gates, and observability
Senior DevOps & Systems Administrator specializing in Azure, IaC, and enterprise identity
Mid-level Java Full-Stack Developer specializing in microservices and cloud platforms
Senior QA/Test Lead specializing in enterprise commerce platforms and order-to-cash automation
Senior Full-Stack Developer specializing in cloud-native microservices (AWS)
Mid-level Product Owner / Application Developer specializing in supply chain ERP and agentic AI platforms
“Architect/product owner/lead developer who built high-scale ERP supply chain and inventory transaction capabilities (including order-to-order pegging) with strong performance tuning in Postgres and robust monitoring/reprocessing dashboards. Also led product for an enterprise agentic development platform using LLM integrations to generate user stories, data models, workflows, and RBAC-secured applications, with sandboxing and promotion guardrails plus UAT across technical and non-technical personas.”
Senior Full-Stack & AI Engineer specializing in LLM integrations and cloud-native systems
“Backend/data engineer with hands-on production experience building FastAPI Python APIs and AWS-native platforms (Lambda/API Gateway, SQS, ECS Fargate) with Terraform + GitHub Actions CI/CD and strong reliability practices (JWT/RBAC, retries/timeouts, structured errors/logging). Also built AWS Glue ETL pipelines (S3/RDS to curated S3/Athena) with schema evolution and data quality controls, modernized legacy processing via parallel-run validation and phased cutovers, and has demonstrated SQL tuning impact (seconds to <200ms) plus incident ownership for batch pipeline SLAs.”
Senior Computer Vision & Sensor Algorithms Engineer specializing in imaging systems
“Robotics/remote-sensing software engineer who built and validated multisensor image-processing and spectral chemical-detection pipelines (RX anomaly detection, ACE), including calibration protocols with a motorized shutter and rigorous data QC. Uses white-box NumPy simulators to debug SLAM/registration issues before translating logic to C++, and partnered with hardware teams to solve temperature-driven signal variation via combined software calibration and improved thermal management.”
Engineering executive specializing in cloud-native SaaS for data-intensive, regulated domains
“Former CTO at Enodo who led development of programmatic parsers to extract unstructured data from real-estate financial documents (rent rolls and T12s), validating with users via prototypes before productionizing. Emphasizes accuracy-driven engineering and scalable test-suite growth based on real user samples, and has experience scoping complex product ideas (e.g., browser-based narrative editor) down to an MVP.”
Senior Software Engineer specializing in C++ tooling, CI/CD, and Unreal Engine pipelines
“Gameplay programmer with hands-on Unreal Engine multiplayer shooter experience, notably overhauling aiming/ADS using Enhanced Input and curve-table-driven response curves plus subtle aim assist. Demonstrates strong networking judgment (client-side prediction vs server authority for anti-cheat) and a systems mindset, adding automation/analytics to speed iteration and improve decision-making.”
Mid-Level Software Development Engineer specializing in distributed systems and event-driven architectures
“Built and maintained an internal JavaScript/React real-time event monitoring UI used by multiple Goldman Sachs teams (e.g., Private Wealth Management and Bulk Trading Systems). Focused on scaling performance under hundreds of events/sec—using profiling, memoization, batching, and debouncing—and paired it with strong internal documentation and disciplined incident diagnosis via synthetic load testing and logs/metrics.”
Mid-level Full-Stack Software Engineer specializing in .NET, Legal Tech, and FinTech
Executive product and technology leader specializing in AI, data platforms, and cloud transformation
Mid-level Software QA Engineer specializing in Insurance and HRIS, transitioning to SDET
“QA-minded candidate with unusually deep, self-driven experimentation in game mechanics (RNG and EXP optimization) using emulators and save-state methodology, translating that same rigor into production release verification and bug triage practices. Has experience in embedded QA and proactively proposed a centralized QA model with sharing sessions to improve coverage during absences; uses AI tools to speed up Jira documentation and test case creation.”
Director-level Software Engineer specializing in SaaS web platforms
“Engineering leader managing two 6-person teams across internal tools and 14+ public brand websites, while staying hands-on in architecture and system design. Particularly interesting for teams exploring AI-assisted software delivery: they implemented a customizable multi-agent BMad workflow with human review gates across PM, architecture, development, QA, and DevOps.”
Executive product leader specializing in SaaS growth and product strategy
“Product and UX leader who has both rebuilt a dated messaging platform through iterative releases and launched a new Salesforce version from scratch. They combine hands-on product management, UX design, and human-centered AI thinking—especially around blended automation/manual workflows—and have also built and mentored early-stage product and design teams in a startup environment.”
Senior Software Engineer specializing in cloud-native microservices and healthcare integrations
“Backend engineer at Cerebrone.ai building cloud-native Flask microservices for an AI-driven automation platform on GCP (Cloud Run/App Engine), including dedicated inference services integrating OpenAI and internal ML pipelines. Demonstrated strong performance and scalability wins across Postgres/SQLAlchemy optimization, multi-tenant (healthcare/HIPAA-grade) data isolation, and high-throughput background processing with Celery/Redis/RabbitMQ, with multiple quantified latency/CPU/throughput improvements.”