Pre-screened and vetted.
Senior Hardware/QA Engineer specializing in enterprise servers, storage, and virtualization validation
Senior Full-Stack Engineer specializing in web, mobile, and cloud applications
Senior Full-Stack Software Engineer specializing in cloud-native FinTech and data pipelines
Senior .NET Developer specializing in cloud-native microservices and modern web apps
Executive technology leader specializing in crypto, iGaming, and platform engineering
Senior Full-Stack Developer specializing in Python, Django, React, and cloud-native SaaS
Senior Cloud DevOps & Security Engineer specializing in AWS/Azure, Kubernetes, and compliance
Staff Infrastructure Engineer specializing in security, compliance, and distributed AI systems
Mid-level Data Engineer specializing in Cloud & Big Data ETL/ELT
“Data engineer in financial services (Northern Trust) who has worked across ingestion, transformation, data quality, orchestration, and serving on AWS (S3/Glue/EMR) with Airflow. Highlights include processing ~15M transactions with validation/anomaly detection for regulatory reporting and improving Snowflake query performance by 27% for risk/compliance reporting. Also built a personal real-time streaming service (FastAPI, Kafka, Redis, Cassandra) and uses production reliability patterns like blue-green/atomic swaps and robust retry strategies.”
Senior Unity Developer specializing in AI/LLM systems and multiplayer VR
“Backend/data engineer focused on AWS-native Python systems: built a FastAPI microservice on ECS/Fargate serving real-time analytics at millions of daily requests with strong reliability (OAuth2/JWT, retries/timeouts, correlation IDs) and autoscaling. Also delivered Glue/PySpark ETL pipelines to curated S3 Parquet/Athena with schema evolution + data quality controls, owned Airflow pipeline incidents, and has a track record of measurable performance and cost optimizations (e.g., ~80%+ query latency reduction; reduced logging/NAT/Fargate spend).”
Mid-level Full-Stack Developer specializing in FinTech and Healthcare IT
“Candidate has hands-on experience at Cognizant building production-grade automation and integration solutions across Python ML services, Java microservices, Kafka, and Selenium-based UI testing. They stand out for a strong reliability mindset—covering failure modes, observability, flaky test hardening, and translating ambiguous payment-system business processes into resilient end-to-end automated workflows.”
Mid-level AI Engineer specializing in agentic AI, LLM systems, and healthcare AI
“Healthcare-focused ML/AI engineer who has built production voice agents and clinical question-answering systems end-to-end, from experimentation through deployment, observability, and iteration. Particularly strong in making LLM systems reliable in real workflows via RAG, fine-tuning, guardrails, evaluation pipelines, and shared Python tooling; cites ~20% clinical QA accuracy gains and ~40% faster physician decision turnaround.”
Mid-level Software Engineer specializing in FinTech and AI/ML
“Full-stack engineer with payments/settlement domain experience who modernized a payment tracking workflow from REST to GraphQL and delivered a production payment status dashboard using Next.js App Router + TypeScript. Strong in performance and reliability work (Postgres indexing/Explain Analyze, Redis caching, Datadog observability) and in durable event-driven processing with Kafka (DLQs, idempotency, reconciliation, event replay).”
Junior Software Engineer specializing in backend systems and AI/LLM RAG platforms
“Full-stack engineer who built and operated a data-driven analytics platform using Next.js App Router/Server Components and TypeScript, owning post-launch monitoring and performance/stability work. Demonstrated measurable wins in analytics performance (e.g., cutting query latency from ~1s to ~200ms) through indexing, query-plan analysis, and precomputation/caching, and has experience designing durable multi-step backend workflows with retries, idempotency, DLQ, and time-correct ordering.”
Mid-level Software Engineer specializing in cloud-native AI and full-stack systems
“Application-focused software engineer working on AI-heavy products, with hands-on experience building end-to-end document processing, retrieval, and configurable workflow systems. Particularly strong in combining React/TypeScript UX, FastAPI/Postgres backend design, and LLM workflow reliability improvements through validation, prompt iteration, and reusable abstractions.”
Senior Full-Stack Software Engineer specializing in Java, React, and distributed systems
“Implementation and AI workflow engineer who has owned customer deployments end-to-end for messaging/integration platforms and also built production-oriented LLM systems. Stands out for combining stakeholder-facing delivery leadership with hands-on experience in Kafka/MongoDB integrations, RAG/agent architectures, and resilient document-processing pipelines with strong validation and fallback controls.”
Director-level Engineering Leader specializing in cloud, AI, and healthcare platforms
“Senior engineering leader with a rare mix of org-scaling and deep hands-on technical execution across cloud platforms, AI/RAG systems, IoT, mobile, and operational software. Has led zero-downtime migrations, improved deployment velocity by 50%+, and built DataFabriks from an internal warehouse AI platform into a multi-tenant commercial SaaS product across healthcare and industrial environments.”
Mid-Level Software Engineer specializing in distributed systems and event-driven microservices
Mid-level Data Engineer specializing in cloud data platforms and streaming pipelines
Principal Software Architect specializing in Healthcare IT and cloud-native systems
Senior DevSecOps Engineer specializing in cloud security and CI/CD automation
Mid-level Full-Stack Developer specializing in cloud-native web applications
Senior Platform/DevSecOps Engineer specializing in Kubernetes and secure cloud platforms
Director-level Engineering Manager / Java Architect specializing in cloud-native payments microservices