Pre-screened and vetted.
Mid-level Full-Stack & Cloud Engineer specializing in backend, AWS infrastructure, and DevOps
“IBM Power/AIX engineer who has owned a large production estate (20+ Power9/Power10 frames and 400+ LPARs) with vHMC and dual-VIOS HA. Has hands-on incident recovery experience (NPIV/RMC issues, LPM restores) and PowerHA failovers, plus modern DevOps exposure using Terraform on AWS and CI/CD with GitHub Actions/Jenkins (including deploying AI/RAG and vision workloads).”
Mid-level QA Engineer specializing in manual testing and API/OCR validation
“Manual QA tester with ~3 years of experience and a strong gamer/end-user mindset, aiming to transition into console game testing. Has provided UX-focused feedback to product leadership and prefers a collaborative, less-structured workflow (e.g., live testing with engineers in local environments to reduce downstream defects). Not yet familiar with console certification standards (TRC/XR/LOT) but highly motivated to learn.”
Mid-level Product Designer & Design Technologist specializing in design systems and GenAI UX
“Enterprise/industrial UX designer focused on making complex, real-time automated systems feel trustworthy and predictable. Has hands-on experience observing operators in logistics/automation environments, building shared interaction models to unify fragmented products, and collaborating tightly with engineers using component-system thinking (HTML/CSS/TypeScript) to ship resilient UIs that handle partial failures.”
Senior Software/Site Reliability Engineer specializing in backend, cloud, and Kubernetes systems
“DevOps and automation-focused engineer with hands-on experience building CI/CD systems, Python-based QA environment provisioning, and scalable infrastructure tooling for internal teams and customers. Notably converted a one-off customer cloud log-backup request into a productized plugin adopted by 35% of customers in 3 months, and helped win a customer by integrating a difficult legacy log source into a SIEM platform.”
Intern Full-Stack/ML Engineer specializing in cloud-native web apps and LLM systems
“Machine learning lab assistant at Eastern Illinois University who productionized a voice-enabled conversational AI system: redesigned it with RAG, LoRA fine-tuning (including text-to-SQL), and safety guardrails, then deployed a scalable API supporting ~1,000 daily queries. Also partnered with customer-facing teams during a BlueFi internship by building demos/APIs and accelerating releases via Terraform + AWS CI/CD automation.”
Mid-level QA Engineer specializing in web and API test automation
“Manual QA tester with experience testing a Germany-based medical website, including writing/executing test cases, regression/functional testing, and clear bug reporting using Jira. Interested in transitioning into console game testing; PlayStation user and actively uses AI tools (ChatGPT/Gemini) to generate test ideas and improve bug report clarity.”
Mid-level Full-Stack Python Developer specializing in AI/ML and backend APIs
“Python/Django backend engineer with open-source experience upgrading Archivematica to Django 4.2 LTS, including resolving a tricky breaking change in datetime parsing by implementing a preservation-safe legacy timestamp conversion layer. Also built a cost-efficient, reproducible Small Language Model (Microsoft Phi-3) fine-tuning pipeline that turns CSV product data into a domain-specific searchable Q&A chatbot, with emphasis on memory optimization and overfitting prevention.”
Mid-Level Full-Stack Software Engineer specializing in web platforms and microservices
“Full-stack engineer at Srasys Inc. who built and owned production payments/checkout for an e-learning platform serving 5,000+ users using Next.js App Router + TypeScript. Deep focus on correctness and reliability (Stripe webhooks, signature validation, DB-level idempotency) plus measurable performance wins (~40% latency reductions) through Postgres indexing/EXPLAIN ANALYZE and Redis-backed caching with CloudWatch monitoring.”
Mid-level Full-Stack Software Engineer specializing in SaaS and AI-enabled platforms
“Built and shipped production AI features in the automotive dealership domain, including an end-to-end computer-vision damage detection system for trade-ins and a tool-calling, RAG-enabled LotSync AI Agent that answers inventory/VIN questions using strict schemas and internal APIs to avoid hallucinations. Also developed a Dagster + Oracle automated reporting pipeline as a Graduate Research Assistant, supporting 15+ university departments with normalized, reliable ETL workflows.”
Mid-Level Software Engineer specializing in backend microservices and AI/ML integration
“Built and shipped production LLM-driven pipelines for clinical data processing, turning semi-structured inputs into validated structured outputs for downstream analytics. Emphasizes predictability and safety via strict JSON schemas, state-machine orchestration, backend-controlled tool calling, and robust fallbacks (rule-based checks/manual review) plus monitoring and offline/online evaluation loops; also has experience hardening workflows against messy ERP/finance data with idempotency and state tracking.”
Entry-level Full-Stack Developer specializing in web, iOS, and ML applications
“Builder-minded software engineer who has shipped a live iOS budgeting app and a solo full-stack web app, with strong evidence of production discipline in both ML and fintech-style integrations. Particularly compelling for roles involving ambiguous product problems, third-party API reliability, and end-to-end ownership from backend logic through user-facing recovery flows.”
Mid-level Game Developer specializing in Unity/Unreal, AR/VR, and multiplayer systems
“Unity VR developer who has shipped Meta Quest titles while owning full end-to-end delivery: gameplay, UI, database/backend, blockchain, web integrations, IAP, and final build publishing. Notably solved a Meta SDK IAP callback regression by identifying the issue with Meta support and safely rolling back specific SDK code, and has implemented motion/walking tracker systems with ML-driven opponent behavior.”
Junior Full-Stack Software Engineer specializing in AI-powered SaaS
“Worked on an AI-adjacent search/results product with a React front end and an API-driven backend, focusing on scalability and performance. Emphasizes decoupled JSON API architecture, React rendering optimizations (useMemo/useCallback), and large-dataset techniques like virtualization, plus strong user-issue triage via log analysis and edge-case fixes in query handling/ranking.”
Intern-level Full-Stack Software Engineer specializing in AI and web applications
Junior Software Engineer specializing in Python automation and full-stack web development
Mid-level Machine Learning Engineer specializing in NLP and LLM evaluation
Intern Full-Stack Software Engineer specializing in FinTech and web platforms
Mid-Level Backend Engineer specializing in Python/Django and AWS Serverless
Intern SQA Engineer specializing in manual, automation, and API testing
Mid-level Full-Stack Engineer specializing in distributed payment systems
Mid-level Frontend Engineer specializing in React, micro-frontends, and AWS
Mid-level Software Engineer specializing in Java/Spring microservices on AWS