Pre-screened and vetted.
Junior Data Engineer specializing in cloud ETL/ELT and lakehouse platforms
Mid Software Engineer specializing in Java microservices and cloud applications
Mid-level Software Engineer specializing in backend microservices and FinTech
Mid-level Full-Stack Software Engineer specializing in cloud-native and AI-powered systems
Senior Full-Stack Engineer specializing in Python, cloud-native microservices, and APIs
Senior Full-Stack Software Engineer specializing in Python, React, and LLM-powered applications
Mid-level Generative AI & ML Engineer specializing in production LLM and RAG systems
“AI/ML engineer who shipped a production blood-test report understanding and personalized supplement recommendation product, using a LangGraph multi-agent pipeline on AWS serverless with OCR via Bedrock and RAG over vetted clinical research. Also built end-to-end recommender system pipelines at ASANTe using Airflow (ingestion, embeddings/features, training, registry, batch scoring/monitoring) with KPI reporting to Tableau, with a strong focus on safety, evaluation, and measurable reliability.”
Mid-level Generative AI Engineer specializing in LLM agents and RAG applications
“GenAI builder and technical lead with ~2 years of hands-on production experience, including GENIE (a GenAI sandbox for ~44,000 Massachusetts public-sector employees) and A-IEP, a multilingual platform helping parents understand complex IEP documents (cut processing from ~15 minutes to ~2 and used by 1,000+ parents). Strong in RAG/agentic architectures, AWS serverless + Step Functions orchestration, and rigorous evaluation/guardrails for reliable real-world deployments.”
Mid-level Software Engineer specializing in full-stack systems and applied AI
“Backend/ML engineer who has built both enterprise data pipelines and real-time AI products: modular Python (Flask/FastAPI) services integrating automation scripts and low-latency ML inference (MediaPipe, PyTorch) plus OpenAI-powered feedback. Demonstrated measurable performance wins (~30% faster HR workflows; ~40% faster AWS pipelines across 100+ Oscar Health feeds) and strong multi-tenant/data-isolation patterns (schema-based isolation, RBAC, microservices).”
Mid-level Full-Stack Engineer specializing in cloud-native, event-driven data platforms
“Backend/data engineer with hands-on production experience building Python (FastAPI/Flask) data enrichment services secured with Okta OAuth2 and monitored via Splunk/Dynatrace. Has delivered AWS event-driven and data-migration solutions (Lambda + Kafka to EKS; Glue from on-prem Oracle to S3/data lake) and modernized Informatica match/merge logic to cloud services using parallel-run parity validation and stakeholder sign-off.”
Mid-level SRE/DevOps Engineer specializing in cloud infrastructure automation and Kubernetes
“Cloud/SRE-style engineer at TDS supporting revenue-critical transportation SaaS platforms on AWS/GCP with Kubernetes. Has hands-on experience leading high-impact production work including DDoS mitigation, zero-downtime MSSQL→PostgreSQL migration using CDC, and building secure GitHub Actions + ArgoCD delivery pipelines and Terraform-based GKE infrastructure.”
Junior Full-Stack Software Engineer specializing in Java/Spring Boot and React
“Backend engineer (IpserLab) who owned Python services for a production quiz/analytics platform, focusing on reliability and low-latency behavior under peak load. Hands-on with Kubernetes + Docker deployments and GitHub Actions CI/CD in a GitOps-style workflow, including solving configuration drift and enabling fast rollbacks. Also implemented Kafka-based event streaming with idempotent consumers and strong observability (lag tracking, structured logging, alerting).”
Senior Full-Stack Engineer specializing in SaaS business applications
“Full-stack engineer who has spent 7 years growing with a small B2B SaaS startup from 9 employees to roughly 30–40, taking ownership of major CRM features across frontend, backend, APIs, and database migrations. Particularly compelling for startup teams: they’ve repeatedly navigated poor documentation and high ambiguity, shipped frequent production changes, and delivered measurable UX and performance improvements for supplier/dealer users in a 3D configurator platform.”
Executive Technology Leader (CTO/Head of Engineering) specializing in platform rebuilds, AI, and Web3
“Startup leader with 15+ years of experience, including lead engineer and founding CTO roles across 5 companies from pre-seed to Series A. Actively develops personal venture ideas by creating product specs/SLAs/business plans and engaging in investor pitch sessions and incubators, with a strong focus on early product-market fit via validated learning and data-driven pivots.”
Senior Software Engineer specializing in distributed systems and telecom platforms
“Engineer with deep telecom and platform experience who helped build a startup product from a 10-person company through growth to acquisition, contributing architecture, coding, and Docker-based scaling. Strong in Go, Java, TypeScript/React, and event-driven systems, with hands-on experience building high-throughput mobile operator platforms and healthcare claims integrations under real production load.”
Senior Machine Learning Researcher/Engineer specializing in temporal modeling and production ML systems
“Backend engineer who built and evolved a startup data-processing backend (Express.js/MySQL) handling millions of user data points, with a microservices pipeline integrating multiple social media APIs. Emphasizes reliability and security through comprehensive testing, robust error/retry handling for sequential pagination constraints, and tight IAM/JWT/OAuth-based access controls.”
Entry-Level Software Engineer specializing in backend systems and FinTech
“Software engineering intern experience at Zoho Corp and Zeus Desk building and deploying customer-facing systems. Delivered a real-time booking platform backend that stayed stable for 1,000+ users by optimizing MySQL queries/indexing and shipping hotfixes during production latency incidents. Also integrated financial operations APIs across 50+ small-bank partners by creating a normalization/validation layer to handle inconsistent partner data and prevent integration breakages.”
Senior Golang Engineer specializing in distributed systems and cloud-native microservices
“Software engineer with experience at UWorld and Infosys, focused on full-stack product delivery and backend reliability. Stands out for owning analytics/onboarding experiences end-to-end while also building resilient distributed systems, reusable service primitives, and safe multi-tenant configuration guardrails.”
Junior Software Engineer specializing in backend systems, AI, and cloud infrastructure
“Built multiple AI-heavy systems with a strong engineering lens on observability, reliability, and real-world usability, including an LLM gateway for auditability/failure isolation and Allyvision, an accessibility tool for visually impaired users. Also owned an end-to-end warehouse shipment tracking dashboard at Addverb Technologies that drove measurable operational gains, combining backend/data depth with frontend product execution.”
Senior Cloud DevOps Engineer specializing in AWS architecture, IaC, and DevSecOps
“DevSecOps/AWS infrastructure engineer at Madison Logic who owns a 15-account AWS footprint and treats nearly all AWS resources as code (Terraform/CloudFormation). Led a CI/CD platform migration (Bitbucket → GitLab + GitHub Actions) supporting WordPress and containerized microservices, improving release frequency to weekly/daily, and has hands-on production incident response experience on ECS Fargate using Datadog with fast rollback via immutable ECR tags and task definition revisions.”
Junior Full-Stack Developer specializing in .NET Core and React
“Full-stack engineer who has shipped end-to-end, customer-facing features in an education/student-population context, including an authorized incident-reporting workflow with RBAC and a PostgreSQL-backed data model. Has 0→1 React+TypeScript/Redux product experience (CTO at Jiffur) and hands-on production operations with CI/CD (Azure Pipelines/GitHub Actions), including resolving a real CPU-saturation outage via operational mitigation and scaling changes.”