Pre-screened and vetted.
Senior Backend Software Engineer specializing in AWS cloud-native data platforms
“AWS-focused Python backend/data engineer who builds production analytics APIs and ETL pipelines using API Gateway, Lambda, Step Functions, ECS, Glue, S3, and RDS. Strong in operational reliability and performance tuning (including SQL indexing/partitioning) and has modernized legacy SAS statistical processing into validated Python services with phased rollouts and stakeholder sign-off.”
Mid-level Software Engineer specializing in cloud and FinTech systems
“Backend/AI engineer who has built and operated production Node.js/Express services on AWS (Postgres/Redis) and has hands-on experience shipping an AI-powered support agent using RAG (Pinecone + LLM) with grounding checks and evaluation for hallucination rate. Demonstrates strong production reliability/performance debugging, including reducing peak latency from ~2s back to sub-300ms through query and caching optimizations, plus designing agent workflows with retries and human-in-the-loop escalation.”
Senior Software QA Test Engineer specializing in Agile delivery and test automation
Mid-level Full Stack .NET Developer specializing in cloud-native enterprise applications
Senior Unity Developer specializing in AI systems and VR training simulations
Senior Full-Stack Software Engineer specializing in AWS, .NET, and data/telemetry platforms
Senior Implementation Consultant specializing in government SaaS integrations
Senior QA Analyst/Engineer specializing in enterprise OSS/BSS and platform testing
Senior QA Automation Engineer (SDET) specializing in Python, Playwright, and API testing
Senior Unix/Linux & Storage Engineer specializing in data center, virtualization, and cloud infrastructure
“UNIX infrastructure engineer with hands-on AIX 7.x and Solaris 11.4 operations, including high-severity Oracle/NFS I/O incidents resolved via MTU/Jumbo Frame tuning and performance tooling (iostat/vmstat/top/fio). Experienced in IBM Power (P5–P9) environments with VIOS/LPAR and PowerHA/HACMP (up to 8-node clusters), plus legacy Sun/Oracle SPARC and AIX migrations using custom Bash/Python discovery scripts and rsync-based cutovers.”
Executive CTO and Software Architect specializing in AI systems and cloud platforms
“Startup-minded technical founder currently running Novicklabs and building Itervox.dev, an AI agent orchestration platform for developer teams. Previously served as CTO at EventLoop and shows strong insight into multi-agent tooling, observability, security, and the open-source-to-cloud path for developer infrastructure products.”
Mid-level Customer Success Engineer specializing in AI analytics and cloud deployments
“Customer Success Engineer focused on secure customer integrations for web/AI analytics solutions, frequently aligning retail/business teams with security requirements. Has hands-on experience troubleshooting and hardening API-based integrations in AWS (IAM least privilege, VPC/private subnet patterns, CloudWatch/CloudTrail) and delivering repeatable containerized deployments via Bitbucket CI/CD.”
Mid-Level Cloud-Native Software Engineer specializing in microservices, DevOps, and AI integration
“Backend-focused Python engineer who owned high-traffic internal services end-to-end (FastAPI/Django) including REST/GraphQL APIs, PostgreSQL optimization, async task processing via SQS, and full CI/CD. Strong Kubernetes-on-EKS and GitOps (ArgoCD + Helm) experience, plus Kafka real-time streaming work and phased cloud-to-on-prem migration support.”
Mid-level Full-Stack Software Engineer specializing in FinTech and AI
“Built and launched a production AI knowledge assistant at Virtusa used by 8,000 people, combining RAG, tool use, and strong reliability practices to cut lookup time by 60%. Also owns full-stack delivery, including a real-time transaction monitoring dashboard built with React, Spring Boot, and Kafka handling 200K API requests per day.”
Mid-level AI/ML Engineer specializing in GenAI, LLMs, and data platforms
“Built and helped deploy a production RAG-based LLM assistant for HVAC anomaly diagnostics, partnering closely with field engineers and operations teams to make AI outputs trustworthy in real workflows. Stands out for practical post-launch optimization work—improving retrieval quality, reducing hallucinations, and stabilizing non-deterministic behavior—which contributed to roughly a 40% reduction in diagnosis time.”
Mid-level Full-Stack Engineer specializing in .NET, React, and FinTech platforms
“Software engineer currently building for a wealth management platform, with hands-on ownership across React/TypeScript front ends, Azure serverless backends, and SQL data systems. Stands out for turning hackweek concepts into production features, building observability infrastructure from scratch, and delivering measurable gains in latency, uptime, incident response, and client satisfaction.”
“Backend engineer with deep experience modernizing a provider credentialing/compliance platform with multiple upstream/downstream integrations. Focused on building predictable, scalable REST APIs (primarily ASP.NET Core; framework-agnostic approach applicable to FastAPI), improving performance via DB/query optimization, and hardening workflows with idempotency, transactions, feature flags, and strong auth/RBAC patterns.”
Mid-level Data Engineer specializing in cloud data pipelines and Snowflake
“Data engineer who has owned production pipelines end-to-end, ingesting 50–100 GB/day from APIs/S3 and near-real-time Kafka into Snowflake with strong data quality gates (Great Expectations/dbt) and Airflow-based reliability (SLAs, alerting, dashboards). Also built a Snowflake-backed REST data API with caching/pagination and versioned endpoints, and designed a compliant, scalable web-scraping system with anti-bot handling and safe backfills.”
Senior Backend Developer specializing in AWS cloud-native systems and data pipelines
“Backend/data engineer with aerospace telemetry and reporting experience across RTX and other orgs, spanning Python/FastAPI microservices, AWS serverless/containers, and AWS Glue-to-Redshift analytics pipelines. Has led legacy modernization with parallel-run parity validation and incremental rollout, and demonstrates strong operational ownership (monitoring, incident response, and cost optimization).”
Mid-level Customer Success Engineer specializing in SaaS platform support and API integrations
“Security-focused engineer/customer-facing technical lead with SaaS platform experience at Ipsilon Lab, advising customers on API security and secure SDLC improvements. Has implemented production AppSec tooling (SAST/SCA), designed AWS least-privilege agent/scanning deployments, and led Kubernetes CI/CD security-agent integrations with Secrets Manager and PR gating. Strong track record troubleshooting complex customer integrations end-to-end (logs/metrics/traces through DB execution plans) and driving measurable stability/security posture improvements.”
Senior Customer Support & Applications Engineer specializing in Linux, cloud platforms, and reliability
“Cloud-focused application security practitioner with hands-on AWS and Kubernetes experience, including securing a manufacturing monitoring platform (API auth, least-privilege IAM, CI/CD security checks) and troubleshooting a production data-ingestion outage caused by an overly restrictive IAM change. Experienced in implementing cloud-native security tooling (IAM Access Analyzer, Inspector, CloudWatch) and deploying monitoring/security agents via Kubernetes sidecars with Helm, Prometheus/Grafana, and Jenkins-driven CI/CD.”
Senior Software Engineer specializing in web applications for aerospace and insurance
“Frontend engineer with hands-on experience building complex React/TypeScript workflows in insurance and interactive Cesium-based geospatial applications. Stands out for combining UI implementation with business-rule enforcement, shared component library improvements, and pragmatic performance decisions across both frontend behavior and database design.”
Mid-level Python Backend Developer specializing in APIs, automation, and data pipelines
“Backend Python engineer with end-to-end ownership of secure financial data systems integrating banking/credit/payment platforms, including automated ingestion and reconciliation of large financial statements. Built modular Dockerized Django REST services with pandas-driven validation/normalization and Postgres/Mongo persistence, and supported a phased migration from legacy VM services to AWS containers with stateless refactors and parallel-run integrity checks (run IDs/checksums). Works closely with platform teams on GitOps/CI readiness and deployment coordination (e.g., ArgoCD-managed sync policies).”