Pre-screened and vetted.
Senior Software Engineer / DevOps specializing in cloud-native distributed systems
Senior .NET Full-Stack Developer specializing in cloud-native microservices
Mid-Level Full-Stack Java Developer specializing in Spring Boot, React, and AWS
Executive Engineering Leader specializing in Product, Mobile, and SaaS platforms
Senior Python Developer specializing in AWS, microservices, and data pipelines
“Backend/data engineer with strong AWS production experience spanning serverless APIs and containerized workers (Lambda, API Gateway, ECS) plus data pipelines (Glue, S3, Athena/Redshift). Has modernized legacy SAS/cron batch systems into Python/AWS with parallel-run parity validation and low-risk cutovers, and has owned ETL incidents end-to-end (CloudWatch detection, backfills, and preventative controls). Targeting $130k–$150k base and strongly prefers remote, with occasional Bethesda onsite acceptable.”
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices and FinTech
“Software engineer/product-minded builder who owns customer-facing products end-to-end and ships in 1–2 week increments using CI/CD, automated testing, and feature flags. Built a TypeScript/React/Node platform that cut page load times by 40% and scaled to 3x concurrent users, and designed RabbitMQ-based microservices with Prometheus/Grafana monitoring. Also delivered an internal real-time support analytics dashboard that reduced response times by 30%.”
Mid-Level Software Development Engineer specializing in backend microservices and cloud-native IoT
Mid-Level Full-Stack Developer specializing in MERN and AR/VR applications
Mid-Level Software Engineer specializing in cloud-native microservices and distributed systems
Mid-level Software Engineer specializing in full-stack, distributed systems, and AI agents
Junior Full-Stack Developer specializing in AI and cloud-native systems
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices
Senior Full-Stack Software Engineer specializing in AI-native enterprise products
Intern Full-Stack Software Engineer specializing in AI integrations and cloud-native web apps
Senior Full-Stack Software Engineer specializing in Python, React, and LLM-powered applications
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 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.”
Senior XR Engineer specializing in Unity VR/AR simulations
“Unity developer from the Naer project who built a natural-feeling VR wrist-flick gesture mechanic for teleport/push/pull interactions, validated through telemetry, low-FPS simulation, and diverse user testing with modular ScriptableObject tuning. Also handled Photon PUN 2 networking bug fixes (mid-air item state issues) and RPC optimizations while integrating AI tools (Claude/Gemini/ChatGPT) into planning and implementation.”
Mid-level Full-Stack Software Engineer specializing in MERN, AWS, and secure authentication
“Application-layer full-stack engineer who has shipped enterprise-facing integrations and developer tooling, including an end-to-end Slack integration for automated ticket creation and a real-time feature-flag dashboard (React/TS + GraphQL/Apollo + NestJS) with audit trails. Has hands-on AWS container operations experience (ECS Fargate/ALB/RDS) and has improved product performance (35% faster dashboards) while building auth and RBAC for 500+ users.”
Mid-level Software Development Engineer specializing in backend, cloud, and microservices
“Accenture engineer with hands-on experience taking an NLP sentiment analysis system from prototype to production, emphasizing robustness to noisy data, scalability, and observability (dashboards for latency/error/throughput). Also supports customer-facing teams with demos and PoCs, translating client requirements into secure, scalable architectures and troubleshooting LLM/agent workflows via logs and step-level traces.”