Pre-screened and vetted.
Mid-Level Full-Stack/Backend Engineer specializing in AWS, APIs, and GenAI systems
“Backend engineer who built the core backend for Air Kitchens’ discovery/booking platform on AWS (Node + Python, DynamoDB, SQS/Lambda), optimizing for fast user-facing APIs and scalable async workflows. Introduced an AI matching service with a deterministic pre-filter + LLM ranking approach to balance latency vs quality, and has hands-on experience with production security (JWT/RBAC/RLS), CI/CD, and blue-green, staged migrations from Django to modular services.”
Mid-level Full-Stack & Data Engineer specializing in AWS cloud and real-time streaming
“Backend engineer with experience at Cigna evolving REST API services backed by PostgreSQL, emphasizing reliability/correctness, scalability, and observability. Has hands-on production experience with FastAPI (contract-first design, Pydantic schemas), performance tuning (indexes, caching), and secure auth patterns (OAuth/JWT, RBAC, row-level security via Supabase), plus low-risk incremental rollouts using feature flags and dual writes.”
Junior Software Engineer specializing in AI systems and robotics infrastructure
“Robotics software engineer with hands-on ROS 2 experience building real-time perception/control infrastructure and multi-sensor fusion (radar/ultrasonic + GNSS/IMU) with deterministic latency and safety fallbacks. Debugged rover navigation drift via rosbag replay and timing analysis, improving state estimation by gating GNSS and switching to SLAM when GPS degraded. Also brings strong distributed-systems and build/CI tooling experience (gRPC/Protobuf, Docker, Bazel cross-compilation for ARM/RISC-V, GitHub Actions).”
Senior Creative Technologist & Full-Stack UX Engineer specializing in Generative AI and XR
“Design engineer/product designer who built an end-to-end creator + review/moderation system for a UGC platform, spanning automated checks, human QA, final review, and creator feedback. Comfortable working directly with HTML/CSS/TypeScript and component systems, using prototyping and field observation to reduce reviewer hesitation, improve consistency, and prevent creator errors upstream.”
Junior Software Engineer specializing in backend platforms and cloud-native systems
“Backend engineer from Emphasis who modernized legacy, tightly coupled workflow systems into observable, event-driven microservices using Kafka. Led a monolith-to-microservices refactor with shadow traffic, feature flags, canary rollout, dual writes, and reconciliation, and strengthened reliability with idempotent consumers, DLQ/replay, and an outbox pattern to prevent DB/event inconsistency. Strong focus on secure multi-tenant APIs (OIDC/JWT, RBAC/ABAC, Supabase-style RLS) and frontend enablement via OpenAPI and typed client generation.”
Mid-level Backend & Applied ML Engineer specializing in LLM systems and scalable APIs
“Backend engineer who significantly evolved an internal analytics/reporting platform (Python API + Postgres) powering self-service dashboards for product/business teams, focusing on reliability under heavy concurrent load and fast query performance. Demonstrates strong production engineering practices across API design (FastAPI), observability, incremental rollouts with feature flags, and data security using JWT/RBAC plus Postgres row-level security.”
Mid-Level Full-Stack Software Engineer specializing in FinTech and microservices
“Backend engineer with experience at Discover, Dell, and Carpus building high-concurrency microservices and secure APIs. Delivered measurable impact in fintech workflows by integrating credit bureaus (TransUnion/Experian), cutting loan processing from days to minutes and reducing latency 65% through PostgreSQL tuning and caching. Strong in production security patterns (JWT/RBAC, Postgres row-level security for multi-tenant isolation) and low-risk migrations (shadow mode + incremental rollout).”
Junior Computer Science Engineer specializing in AI-driven game dialogue systems
“Unity generalist who has shipped a solo VR tangram game for Meta Quest, handling everything from asset art to mechanics and multi-level logic. Built an original 2D top-down pixel-art game (“Mental Twist”) combining campus exploration with puzzle-based courses and a time/HP/XP-driven progression and grading system; prefers structured production environments and is currently seeking a 9-to-5 schedule.”
Mid-level Software Engineer specializing in backend, cloud-native microservices, and LLM apps
“LLM/agentic systems practitioner who repeatedly takes customer-facing LLM prototypes into production by operationalizing prompts, hardening RAG pipelines, and adding monitoring/guardrails. Has hands-on experience debugging intermittent production failures under high traffic (vector store timeouts/empty retrieval) and implementing fail-safe behavior plus alerting. Also partners closely with sales in pilots/POCs, customizing demos with customer data and running side-by-side comparisons to drive adoption.”
Staff Unity XR Software Engineer specializing in VR surgical training and haptics
“Unity/VR developer with hands-on experience integrating Pupil Labs eye tracking on HTC Vive to make VR interactions and diegetic UI feel more natural, including building calibration directly into the app for different users. Developed multi-user applications at Fundamental VR using Photon PUN 2 for cross-platform networking, and leverages AI tools for debugging/optimization and GitHub Actions CI/CD pipeline troubleshooting.”
Mid-level Full-Stack Developer specializing in web, mobile, and IPTV applications
“Frontend engineer with hands-on experience revamping IPTV native TV apps (Android TV, Xfinity, LG, Samsung), building scalable, lazy-loaded home page and content experiences that remain stable as backend playlists change. Emphasizes component/modular architecture (including MVP on Android TV), strong quality practices (CI, unit tests, code reviews, manual device testing), and modern React+TypeScript state management using Zustand with clean separation of business logic from UI.”
Mid-level Java Full-Stack Developer specializing in banking and e-commerce microservices
“Software engineer/product-focused builder who delivered real-time supply chain inventory dashboards to replace a legacy system, integrating directly with ERP/WMS/TMS to eliminate manual reporting. Uses TypeScript/React with Redux Toolkit on the frontend and microservices + REST APIs on the backend, with performance improvements via Redis caching and a strong focus on user-feedback-driven prioritization and observability in distributed systems.”
Mid-level Full-Stack Software Engineer specializing in Java/Spring and AWS microservices
“Full-stack engineer with experience at Wells Fargo and Salesforce building regulated, customer-facing financial systems and internal DevOps tooling. Deep in microservices and event-driven architectures (Spring Boot, Kafka/RabbitMQ) with strong CI/CD automation, contract testing, and observability; delivered measurable impact including 60% faster deployments and 40% fewer support tickets.”
Mid-level Full-Stack Developer specializing in cloud-native microservices and IoT platforms
“Full Stack Developer (recently at Cisco Systems) building end-to-end web applications with Angular frontends and Spring Boot microservices backed by MySQL/JPA, including JWT + role-based access. Has hands-on experience with high-volume, real-time data processing/visualization and has solved complex UI state consistency issues using RxJS BehaviorSubjects; also applies layered state patterns in React with Redux Toolkit and uses AI dev tools (Cursor/Claude) strategically.”
Mid-Level Full-Stack Java Engineer specializing in microservices and cloud platforms
“Frontend/platform-leaning engineer who owned a shared React component library (design-system style) adopted across multiple SPAs, with strong discipline around SemVer, deprecation strategy, and developer documentation. Also has backend/distributed-systems experience diagnosing and fixing a Kafka microservice race condition and has led prioritization/migration planning in an unstructured monolith-to-microservices environment (Centene).”
Mid-Level .NET Full-Stack Developer specializing in banking and cloud-native microservices
“Full Stack Engineer with hands-on experience owning customer-facing products end-to-end, emphasizing fast iteration via feature flags and risk-based testing for critical user flows. Built TypeScript/React systems with shared types and clean backend layering, and has microservices experience using RabbitMQ to decouple services and manage scale issues like queue backlogs. Also created an internal dashboard for dev/QA to centralize build/test/deploy visibility and iterated on it through lightweight user research and usage metrics.”
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices
“Full-stack engineer who owned end-to-end delivery of a customer-facing financial services web platform and built internal tooling for engineering teams. Strong in microservices and event-driven systems (Kafka/RabbitMQ), distributed transaction management (saga), and production performance/observability—achieving ~40% backend response-time improvement through database and query optimization.”
Mid-Level Full-Stack Software Engineer specializing in AI/ML and cloud-native systems
“At BondiTech, built and deployed customer-facing backend improvements for enterprise dashboards handling 1M+ records, redesigning a .NET/Entity Framework API with server-side pagination/filtering and feature-flagged rollout to cut latency from ~15s to ~2s. Experienced integrating customer systems into existing APIs, including stabilizing a legacy CRM sync by normalizing inconsistent IDs, handling strict rate limits with batching, and adding DLQs plus reconciliation reporting.”
Junior Data Scientist/Data Engineer specializing in ML pipelines and analytics
“Machine Learning Intern at Docsumo who delivered a customer-facing fraud-detection solution end-to-end: rebuilt the pipeline, deployed a Random Forest model, and shipped a Python/Flask microservice on AWS SageMaker. Drove measurable production impact (precision +30%, processing time cut in half, manual review -60%, customer satisfaction +15%) and demonstrated strong customer integration and live-incident response skills.”
Mid-Level Software Engineer specializing in backend APIs and distributed systems
“JavaScript engineer with Walmart experience contributing to the Yup validation library—reproduced a nested-object validation bug, fixed merge logic, and added test coverage. Strong in systematic debugging/performance isolation (DevTools + timing logs), plus end-to-end ownership including documentation, monitoring, and issue triage.”
Mid-level Software Engineer specializing in AWS cloud infrastructure and data platforms
“Backend/infra-focused software engineer who built an autonomous Python API-orchestration agent using asyncio with strong reliability and observability (trace IDs, structured logs, retries/timeouts) and containerized dev workflow. Experienced deploying Python services to Kubernetes with Helm and running GitOps CI/CD via ArgoCD, plus leading an AWS IAM-to-Identity Center migration using CloudTrail-driven least-privilege role design. Also built and debugged a Kafka/SnapLogic bidirectional pipeline syncing Redshift and HBase, resolving missing-record issues via Kibana-driven investigation.”
Mid-level UI/UX Designer specializing in accessible, data-driven mobile and web experiences
“Product/UX designer with end-to-end redesign experience on the Discover Mobile Banking App, focused on rebuilding interaction models and a WCAG 2.1-compliant visual system to improve accessibility outcomes (including Lighthouse score). Also redesigned a restaurant ordering/management SaaS (RestroZap), translating complex operational and configuration workflows into guided, non-technical user experiences through field research, progressive disclosure, and iterative prototyping in Figma.”
Mid-level Full-Stack Software Developer specializing in cloud-native microservices
“Full-stack engineer with enterprise experience at Metasystems Inc. (and Qualcomm) building high-traffic, security-sensitive systems—owned a secure transaction processing module end-to-end using Java/Spring Boot, Python/Django, and React. Strong AWS production operations (EKS/ECS/Lambda/RDS/DynamoDB) with IaC (Terraform/CloudFormation), observability, and reliability patterns; also delivered resilient ETL/integration pipelines with idempotency/retries/backfills and achieved a 50% deployment-time reduction through CI/CD and modular refactoring.”
Mid-level Machine Learning Engineer specializing in NLP, LLMs, and MLOps
“Built and deployed an LLM-powered financial/regulatory document analysis platform at State Street, combining fine-tuned transformer models with a RAG pipeline over internal knowledge bases. Owned the productionization stack (FastAPI, Docker, SageMaker, Terraform, CI/CD) plus monitoring for drift/latency/hallucinations, delivering ~40% faster analyst review and improved reliability through chunking/embeddings and grounding.”