Pre-screened and vetted.
Mid-level Data Analyst specializing in BI, ETL automation, and dashboard reporting
Mid-level AI Software Engineer specializing in healthcare and agentic systems
Staff Full-Stack Engineer specializing in AI agents and cloud platforms
Senior Software Engineer specializing in full-stack systems and cloud platforms
Mid-level Full-Stack .NET Developer specializing in cloud-native web applications
Senior Full-Stack Engineer specializing in healthcare and enterprise web platforms
Senior .NET Developer specializing in cloud-native microservices and modern web apps
Executive Technology Leader specializing in Cloud Platforms, DevOps, and AI/ML
“Early-stage startup CTO helping build an AI-powered parenting assistant app with features spanning advice, shopping, task management, and inventory management. The team is currently testing an MVP with their network while the candidate simultaneously learns the seed/Series fundraising process through Connectd and early investor conversations.”
Entry-level Software Engineer specializing in backend and cloud systems
“Backend engineer who built and scaled a zero-to-one social product backend using Supabase (Postgres, Edge Functions, Auth, Realtime) plus Neo4j for graph-based friend recommendations. Demonstrates strong production rigor: staged rollouts with metrics, incident rollback/postmortems, and complex schema refactors using expand-contract/dual-write with reconciliation and feature flags. Notably proactive about edge cases like geo-boundary realtime delivery and idempotent retry safety.”
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).”
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.”
Mid-level Full-Stack Engineer specializing in cloud-native web applications
“Full-stack engineer with experience across Netgear and 3i Infotech, spanning React/TypeScript and Node.js on the frontend/backend as well as Java Spring Boot with MySQL in financial services. Stands out for owning production issues end to end, improving API and query performance, and driving architectural standardization through a centralized frontend API service layer.”
Senior DevOps & Linux Systems Engineer specializing in AWS cloud infrastructure
“UNIX operations-focused candidate with hands-on AIX/Solaris troubleshooting and Bash automation experience, including resolving a production connectivity outage caused by a host table IP misconfiguration. Has supported a re-platform migration of a home-grown application by working directly with developers and running parallel testing prior to cutover; no direct IBM Power (VIOS/HMC/LPAR) or NIM/PowerHA experience.”
Mid-level Software Engineer specializing in secure full-stack microservices
Senior Software Engineer specializing in backend systems, cloud infrastructure, and applied AI/ML
Mid-level Data Engineer specializing in cloud data pipelines and streaming analytics
Mid-level Full-Stack Software Engineer specializing in healthcare and enterprise web applications
Executive infrastructure and security leader specializing in multi-cloud enterprise architecture
Mid-level Cloud/DevOps Engineer specializing in AWS automation and CI/CD
“AWS Cloud DevOps Engineer focused on production Linux environments, building secure CI/CD pipelines (Jenkins/GitHub) to deploy Dockerized services to AWS ECS and automating infrastructure with Terraform/CloudFormation. Strong in operational troubleshooting and scaling (CloudWatch-driven performance remediation, Auto Scaling/ELB, multi-AZ HA patterns), but explicitly does not have IBM Power/AIX or PowerHA/HACMP experience.”