Pre-screened and vetted.
Mid-level Data Engineer specializing in cloud ETL and streaming data pipelines
“Data engineer in healthcare/clinical data platforms (HarmonCare) who built and operated an end-to-end lakehouse pipeline ingesting HL7/FHIR at ~2–3M records/day on AWS (Glue/Lambda/S3/Spark) and serving trusted datasets in Snowflake. Implemented strong validation/reconciliation gates and a data quality framework that reduced discrepancies ~40%, plus CI/CD (GitHub Actions/Terraform) and monitoring (Airflow/CloudWatch).”
Senior Software Engineer specializing in Golang microservices and IAM/SSO
“Backend engineer with experience at DigitalOcean and BNY Mellon, specializing in secure, highly available authentication and API platforms. Built an enterprise SSO system integrating Okta via OIDC with resilience patterns (gRPC contracts, circuit breakers, Kafka) and strong encryption, and led a careful monolith-to-Golang microservices migration using shadow traffic, dual writes, and feature flags to preserve data integrity.”
Executive Technology Leader & Architect specializing in enterprise digital transformation
“Longtime S-Corp founder (20+ years) who evolved from running a web agency to becoming a Shopify expert contracted by agencies/brands to upskill teams and lead enterprise eCommerce builds. Recently built and launched a payment-links/QR-code web app in weeks that gained 20 users on day one without advertising; now looking to pivot toward building a scalable product business not tied to hourly contracting.”
Director of Technology Transformation specializing in ERP, Cloud & Cybersecurity
“Senior technology leader focused on joining existing organizations to build and scale products rather than founding at all costs. Has turned a recurring manual data-process bottleneck into a production platform by validating via user interviews, integrating with legacy systems through phased decoupling, and improving reliability with strong data validation/observability while driving cross-team adoption.”
Senior Solutions Architect specializing in MLOps and AI platform operations
“Audio/music editor and mixer with Symphony Space promotional work (e.g., Uptown Showdown, Selected Shorts), focused on shaping emotion and pacing through tempo automation, tension-building harmonic choices, and precise cut-to-music timing. Pro Tools certified (Institute of Audio Research) with hands-on mixing workflows across Logic, Reason, and Cubase, and experience iterating based on commercial/producer feedback.”
Junior Machine Learning Engineer specializing in GenAI and LLM fine-tuning
“Robotics software engineer focused on hard real-time autonomy for legged robots, building a quadruped navigation stack that combines vision SLAM with MPC and maintains a deterministic 500Hz control loop. Deep performance optimization experience across CUDA (sub-2ms perception latency), ROS 2/DDS real-time tuning, and motion planning (cut 500ms spikes to sub-5ms). Also designed distributed ROS 2 + Zenoh communications between quadrupeds and aerial drones and validated robustness under lossy wireless conditions.”
Entry-Level Embedded Firmware Engineer specializing in real-time systems
“Embedded/bare-metal engineer with hands-on sensor performance work: built a real-time profiler for a LiDAR system that tracked CPU/core usage and pixel buffer metrics to quickly identify and validate fixes for bright-light performance issues. Also has Ethernet/UDP device communication experience plus Docker and CI test-suite overhaul work to run sensor functionality tests on every commit.”
Staff Software Engineer specializing in distributed systems and high-concurrency APIs
“Full-stack engineer in an insurance + telematics org who built a 0→1 multi-agent, AI-driven mobile regression execution system integrating Jira and n8n, emphasizing determinism (schema-validated outputs), traceability (state-machine style step archives), and scalable device scheduling. Also designed an event-driven microservices architecture using Kafka with standardized API/event contracts and has hands-on incident response experience improving resilience via rate limiting, circuit breaking, caching, and idempotency.”
Senior Technical Product Lead specializing in Data Governance and MDM SaaS platforms
“Technical/product lead at Albanero (acquired by Infor in 2024; now at Infor) who built a Data Mesh-focused “Governance as a Product” module from early persona-based policies through a highly configurable multi-ERP governance platform (MDM, multi-source mastering, match/merge, automated review workflows). Also troubleshoots agentic/LLM workflows in production using auditability, guardrails, monitoring, and real-time validation—fixing a P0 false-positive security flagging issue and contributing to significant deal/adoption growth (~50%) after V2 launch.”
Staff/Lead Software Engineer specializing in distributed data and ML platforms
“Defense-domain AI engineer who built a production ReAct-style RAG system for military training data/material generation, scaling to ~1000 users and cutting generation time by 50%. Also has experience designing GPU-cluster parallel computation with PyTorch and handling production incidents involving database performance and schema design.”
Mid-level Full-Stack Engineer specializing in FinTech systems
“Full-stack engineer with strong fintech/financial-systems experience who built an automated reconciliation and reporting system end-to-end (Python/Django/FastAPI + React, Docker on AWS), cutting reconciliation time by ~25% and improving audit traceability. Experienced designing typed REST APIs and Postgres data models, operating production workloads on AWS (EC2/Lambda/RDS/DynamoDB/CloudWatch), and building reliable ETL/integration pipelines with idempotency, retries, and reconciliation.”
Mid-level AI/ML Engineer specializing in NLP, fraud detection, and MLOps
“Built and deployed a domain-specific LLM chatbot for research/support, cutting manual effort by ~50%. Demonstrates strong applied LLM engineering: RAG, prompt grounding with citations and fallbacks, embedding/top-k tuning, and production monitoring (confidence, latency, feedback loops). Experienced orchestrating agent workflows with LangChain-style pipelines and continuous evaluation to maintain reliability.”
Senior Unity Developer specializing in VR/AR and mobile games
“Unity VR developer with multiple shipped Meta Quest titles, including early hand-tracking projects where they stabilized an unstable SDK by inspecting source code and adapting their codebase. Built a largely solo Harry Potter-inspired VR game (Spell Bind) featuring voice-command spellcasting via Oculus Voice SDK plus hand-tracked wand interaction, which won the People's Choice Award at Gamebridge 2023.”
Mid-Level Data/ML Engineer specializing in Generative AI and cloud data platforms
“Built and productionized an LLM-based financial document analysis system using a RAG pipeline, including robust ingestion/chunking/embedding workflows, vector DB retrieval, and an AWS-deployed FastAPI service containerized with Docker. Demonstrates strong applied expertise in improving retrieval quality and latency at scale, plus hands-on experience debugging agentic/LLM workflows with monitoring and trace-based analysis while supporting demos and customer-facing adoption.”
Mid-level Software Engineer specializing in full-stack web and cloud automation
“Full-stack TypeScript/Angular/Node engineer who owned a production healthcare application for a pharmaceutical client, supporting 100K+ monthly users across 10+ countries. Strong focus on maintainability and quality (reusable localized component library, ~90% unit test coverage, SonarQube in CI/CD) plus performance work (reported 15% client-side latency reduction and up to 50% backend latency reduction) while migrating legacy mobile code with strict backward compatibility.”
Director-level Engineering Leader specializing in AI Platforms for Enterprise B2B SaaS
“Technical leader/player-coach who architected and shipped an end-to-end computer vision pricing system for a major North American auto seller, using Go + Ray + AWS SageMaker in a low-latency distributed inference architecture. Strong in production governance (logs/tracing/guardrails/AppSec), reliability incident ownership (DNS limits affecting 20% traffic), and measurable delivery acceleration (deployment cycle 16→4 days; delivery speed 5→2 days) through process optimization and AI-assisted enablement.”
Senior DevOps Engineer specializing in AWS cloud infrastructure and CI/CD automation
“AWS platform/infra engineer with hands-on ownership of EKS cluster lifecycle (upgrades, node scaling, networking/ingress, and EBS-backed stateful storage) and reliability validation using Datadog plus CI/CD smoke tests. Also supported on-prem VMware environments and operated a hybrid on-prem-to-AWS setup over site-to-site VPN, including incident response and implementing change-controlled firewall processes and proactive connectivity health checks.”
Senior DevSecOps Engineer specializing in multi-cloud Kubernetes and CI/CD automation
“Cloud/DevOps engineer operating across AWS and Azure, running Kubernetes workloads with secure CI/CD (GitHub Actions/Azure DevOps) and Terraform IaC. Has supported AIX/PowerHA systems in hybrid environments—handling failover testing, incident recovery, and performance troubleshooting (including multipath/storage-path issues)—and has led cutovers by managing dependencies, rollback, and stabilization.”
Mid-level Frontend Developer specializing in security analytics dashboards
“Built and shipped production LLM agents including an end-to-end customer support resolution system (99.9% uptime target) that improved customer satisfaction by ~18% and reduced the need to scale support headcount. Demonstrates strong agent engineering fundamentals—tool-based orchestration, schema-first structured outputs with deterministic validation, and robust eval/monitoring loops—plus experience integrating agents with messy ERP data using canonical normalization and safe fallbacks.”
“Backend/data engineer with healthcare claims expertise who has owned production data pipelines end-to-end, including ingestion, validation, transformation, and API serving. Stands out for improving data quality by 30%, building reliable integrations with strong auditability, and setting up pragmatic cloud deployment and observability in ambiguous early-stage environments.”
Intern Software Engineer specializing in backend, cloud, and machine learning
“Built practical automation systems spanning an NLP-based news classification pipeline and a WhatsApp interaction agent. Shows strong instincts around production reliability—using structured outputs, schema validation, idempotency, retries, and clarification flows to prevent bad actions in real-world messaging workflows.”
Entry-Level Machine Learning & Cloud Engineer specializing in AI data pipelines
“Early-career cloud/appsec-focused engineer with hands-on experience building secure, observable microservice systems on AWS (IAM least privilege, KMS encryption, Secrets Manager, CloudWatch, ALB) and troubleshooting autoscaling-related 500s down to connection pooling issues. Also deployed heavy ML workloads on Kubernetes by decomposing diffusion/transformer services, using workload identity to eliminate static credentials, and maintaining GitOps-style deployment audit trails.”
Senior Go/Python Full-Stack Engineer specializing in cloud-native microservices
“Backend/data engineer with hands-on production experience across FastAPI microservices and AWS (Lambda, ECS, SQS, RDS, S3), plus Glue/Athena analytics pipelines. Demonstrates strong reliability and operations focus (timeouts/retries, centralized errors, CloudWatch monitoring) and measurable SQL optimization impact (25s to under 2s). Seeking fully remote senior developer role at ~$150k base.”