Pre-screened and vetted in Indiana.
Mid-level Machine Learning Engineer specializing in GenAI and RAG systems
Mid-level Full-Stack Engineer specializing in AI-powered FinTech and Healthcare IT
Mid-level Software Engineer specializing in full-stack, cloud, and AI systems
Mid-level Java Full-Stack Developer specializing in cloud-native microservices
Junior Data Analyst specializing in sports analytics and business intelligence
“Analytics professional in the sports industry who has owned high-impact revenue and compliance data projects for the Colts, turning fragmented Ticketmaster and Salesforce data into trusted real-time reporting. Stands out for combining strong SQL/Snowflake engineering, rigorous validation practices, and stakeholder-facing metric design that drove a record 98% compliance rate and meaningful revenue recovery.”
Senior Mechanical/R&D Engineer specializing in orthopedic medical device product development
“Founding engineer at a previous company who reports owning all products end-to-end from ideation through launch and inventing the company's flagship technology/products; emphasizes making development tradeoffs to deliver safe, functional, usable, ergonomic products.”
Mid-level Full-Stack Developer specializing in Angular/React and Spring Boot
“Full-stack engineer with experience at Cummins owning production features end-to-end (React/TypeScript + Node + Postgres) and operating them in AWS (EC2/RDS/S3/IAM) with CloudWatch-based observability. Also built resilient ETL and third-party integrations, including an AWS Glue–S3–Redshift pipeline hardened with validation, idempotent UPSERTs, retries/backfills, and quarantine handling to prevent bad or duplicate data.”
Mid-level Embedded Systems Engineer specializing in industrial IoT firmware
“Embedded systems engineer with hands-on experience using AI tools to accelerate debugging and development while maintaining strict review standards for safety-critical firmware. At Trigent, they effectively led the architecture and rollout of an automated MISRA C-compliant code generation pipeline and became the go-to technical owner across 8 active projects.”
Junior Software Engineer specializing in cloud, DevOps, and applied AI security
“Founding engineer who built a multi-tenant AWS backend from scratch focused on ultra-fast, configuration-driven client onboarding and low operational cost. Automated tenant provisioning/deployments with Terraform + GitHub Actions (new client infra in ~13 minutes) and scaled to 62 production clients handling ~75k requests/day without a major rewrite. Hands-on with migrations (DynamoDB->MongoDB), reliability/observability, and performance tuning (indexes, Redis, queueing, connection management).”
Senior QA Analyst specializing in enterprise web, API, and ERP quality assurance
Intern Full-Stack Developer specializing in React/Node and applied machine learning
Junior Robotics & Computer Vision Programmer specializing in autonomous perception
Junior Full-Stack Software Engineer specializing in APIs, data platforms, and LLM applications
Mid-Level Full-Stack Software Engineer specializing in Java/.NET and cloud-native web apps
Mid-level QA Engineer specializing in manual and Cypress automation for interactive products
Mid-level Java Full-Stack Developer specializing in cloud-native microservices
Mid-level Full-Stack Engineer specializing in web applications and cloud systems
“Software developer at Indiana University who built a phishing training platform using TypeScript/React, Node, GraphQL, and DynamoDB, including an admin tool to monitor student completion and send automated reminder emails. Also created TechRent, an IU-only electronics rental marketplace concept focused on improving security by restricting access to university students.”
Mid-Level Software Engineer specializing in full-stack development and cloud platforms
Mid-level Full-Stack Java Developer specializing in cloud-native microservices and React
Junior Full-Stack & AI Software Engineer specializing in React/Next.js and LLM systems
“Backend engineer with hands-on experience building low-latency, high-concurrency real-time chat on AWS (Node.js/Socket.IO/MongoDB) and improving reliability under unstable networks, contributing to ~40% user adoption growth. Also built FastAPI-based AI assistant context retrieval (RAG) APIs with embeddings/vector search, and has strong production experience in rate-limit handling, async refactors with safe rollout, and Supabase Auth/RLS optimization.”
Mid-Level Full-Stack Software Engineer specializing in Java/Spring Boot and AWS
Intern Full-Stack/Frontend Software Engineer specializing in user-centered web applications
Mid-level Full-Stack Engineer specializing in cloud-native microservices