Pre-screened and vetted.
Mid-Level Software Engineer specializing in microservices and cloud-native systems
“Backend-leaning full-stack engineer with logistics domain experience (DHL) who shipped a real-time shipment status update system using Spring Boot + Kafka and a performance-tuned PostgreSQL tracking schema. Also has AWS production operations experience (ECS/Kubernetes, Jenkins CI/CD, Terraform/Ansible) and has handled peak-load incidents end-to-end by tracing Kafka lag to database bottlenecks and resolving via query/index optimization plus scaling.”
Senior DevSecOps/SRE Engineer specializing in secure AWS & Azure cloud platforms
“Senior production infrastructure/SRE-style engineer with deep IBM Power/AIX (7.2/7.3) ownership at scale (40+ LPARs) supporting SAP/Oracle, including live DLPAR changes and PowerHA clustering. Also brings modern cloud/DevOps experience—Azure DevOps CI/CD secured with Key Vault and Terraform-based Azure provisioning—bridging legacy enterprise platforms with cloud automation.”
Executive CTO specializing in FinTech, Healthcare IT, and AI platforms
“Engineering/product leader who builds business-aligned technology roadmaps and scales pod-based orgs with strong delivery discipline (OKRs, CI/CD, QA automation). Led a SaaS supply-chain application adopted by Fortune 100 customers, citing ~$4M MRR and ~87% gross profit, and has hands-on experience standardizing LLM + cloud/MLOps architectures with security/compliance guardrails. Also created the PISEK methodology and used it to run distributed innovation sprints (e.g., an AI ETA predictor moved from pilot to production).”
Staff Unity XR Software Engineer specializing in VR surgical training and haptics
“Unity/VR developer with hands-on experience integrating Pupil Labs eye tracking on HTC Vive to make VR interactions and diegetic UI feel more natural, including building calibration directly into the app for different users. Developed multi-user applications at Fundamental VR using Photon PUN 2 for cross-platform networking, and leverages AI tools for debugging/optimization and GitHub Actions CI/CD pipeline troubleshooting.”
Mid-level DevOps & SRE Engineer specializing in AWS, Kubernetes, and CI/CD automation
“Cloud/Kubernetes-focused engineer with production ownership in multi-account AWS environments (GE) and EKS-based platforms (Lumeus.ai). Strong in incident response and reliability—diagnosed IAM-driven serverless failures (SQS/Lambda) and Kubernetes deployment issues (CrashLoopBackOff, memory pressure) with rollbacks, policy fixes, and improved monitoring. Built secure Jenkins CI/CD and delivered infrastructure via CloudFormation and Terraform for serverless and EKS stacks.”
Senior DevOps Engineer specializing in multi-cloud platform engineering and DevSecOps
“Cloud/DevOps-focused engineer with production experience in Linux, AWS, Kubernetes, and cloud-native architectures. Has built GitHub Actions CI/CD pipelines for containerized Kubernetes deployments and implemented Terraform-based AWS infrastructure with modular design and remote state/locking (S3 + DynamoDB) plus PR/CI-driven change control.”
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
“Full-stack engineer with experience at Capital One and Prime Softech owning production systems end-to-end: secure authentication (Java/Spring Security + React/Redux) through AWS ECS deployments with Terraform and CI/CD. Strong reliability/observability focus (Prometheus/Grafana/ELK/CloudWatch) with quantified improvements (15% reliability gain, 30% fewer post-release defects). Also led legacy monolith-to-microservices refactors and built real-time Kafka/Spark ingestion pipelines for analytics/fraud detection.”
Mid-Level Full-Stack Software Developer specializing in cloud-native microservices and AI/ML
“Backend engineer who optimized an AI-driven portfolio analytics/insights platform at Fidelity, addressing latency and traffic growth by moving services toward microservices, improving service communication, and tuning API/DB performance. Experienced scaling Python/FastAPI services with Docker + Kubernetes autoscaling, and strengthening security/privacy for sensitive client portfolio data used in LLM-based reporting.”
Intern Robotics & Cloud/DevOps Engineer specializing in autonomous systems
“Robotics-focused engineer with hands-on projects ranging from a solo Dobot Magician Lite tic-tac-toe system (computer vision + minimax) to integrating an LLM with a Dobot arm for real-time pick-and-place via structured action outputs and validation. Also brings prior full-time DevOps experience (Docker/Kubernetes and CI/CD) and has used ROS/Gazebo for simulation work, including exploring improvements to crowd-aware navigation using human-trajectory datasets.”
Mid-level Data Scientist specializing in predictive analytics and LLM-powered data pipelines
“Early-career engineer from BNP Paribas who drove a large-scale observability modernization—selecting and implementing Prometheus/Grafana for a 2000+ server estate, then productionizing it on Kubernetes via Docker/Jenkins. Known for hands-on demos, strong documentation/templates, and pragmatic troubleshooting (including custom Python metrics) that improved visibility and cut debugging time by ~60%.”
Mid-Level Full-Stack Python Developer specializing in AI and data platforms
“Full-stack engineer who builds TypeScript/React SPAs on Python (Flask/FastAPI) backends and has hands-on experience integrating AI components (Azure OpenAI, LangChain, vector databases) into user workflows. Has built internal AI-enabled dashboards/search tools for analysts and business users, emphasizing typed API contracts, CI/CD-driven quality, and microservices reliability patterns (monitoring, retries, idempotency) at scale.”
Mid-Level Full-Stack Java Developer specializing in cloud-native microservices
“Full-stack engineer with production experience building Java 17 Spring Boot microservices for high-traffic systems at Verizon and on a JPMC payments platform (funds transfer/validation using ISO 20022), plus modern React/TypeScript dashboards for ops and analytics. Demonstrates strong scalability and reliability chops (Kafka event-driven pipelines, Redis caching, clustering, BullMQ background jobs) and has built real-time apps end-to-end with secure JWT refresh-token auth and Socket.io performance tuning.”
Mid-Level Full-Stack Software Engineer specializing in cloud platforms and AI-enabled apps
“Full-stack JavaScript engineer (React/Node/Vue) who has operated like a maintainer by owning an internal component library with Storybook-style examples, documentation, and non-breaking versioning. Demonstrated strong performance engineering on a source code review service—profiling bottlenecks, fixing N+1 queries, adding caching, and trimming payloads to cut latency (e.g., ~100ms to <50ms) while rolling out incremental, test-backed improvements.”
Principal Data Scientist specializing in Generative AI, NLP, and MLOps
“ML/NLP practitioner with banking experience (M&T Bank) who has built a GPT-4 RAG system using LangChain and Pinecone to connect unstructured customer data with internal knowledge bases, improving accuracy and reducing manual lookup time by 50%+. Strong in entity resolution and productionizing scalable Python data workflows, including major performance wins by migrating bottleneck joins from Pandas to Dask.”
Senior Software Engineering Manager specializing in cloud-native distributed systems (FinTech & Healthcare)
“Engineering leader/player-coach who has led 40+ developers across multiple teams on large financial services web applications (Wells Fargo) and previously delivered a banking mobile app MVP in 6 months with a junior team by setting patterns and CI/CD foundations. Strong in production reliability practices (Splunk monitoring, feature flags, throttled rollouts) and has driven measurable quality/velocity wins, including a 60% faster E2E test framework and a rapid 2-day hotfix during a React 16→18 migration.”
Senior DevSecOps/DevOps Engineer specializing in AWS, Kubernetes, and CI/CD security
“DevOps/Cloud engineer with experience supporting large-scale enterprise infrastructure (AT&T: 50+ Power8/Power9 frames and 2,000+ AIX 7.1/7.2 LPARs) and strong hands-on delivery in AWS/Kubernetes. Built secure Jenkins-to-EKS pipelines with SonarQube/Trivy gates and resolved a widespread CVE-driven build outage by patching the Debian base layer. Also created reusable Terraform modules with remote state/locking and automated drift detection to provision full mirror environments in under an hour.”
Senior Software Engineer specializing in developer tools, automation, and game pipelines
“Game/tools-focused QA professional with experience at Playable Worlds, Disney, and Metaplace, emphasizing CI-driven quality (Jenkins PR gating, unit tests, Slack/JIRA visibility) in live production environments. Has hands-on defect isolation experience using developer tools to diagnose hard-to-repro player issues and improve turnaround by providing reliable repro steps and clear QA workflows.”
Executive Technology & Operations Leader specializing in PE-backed cloud and infrastructure
“Serial entrepreneur and operator with experience financing and scaling startups using bank debt, PE debt, and self-funding, including a real estate asset management company grown through creative debt/equity structures. Former VP Engineering & Online Operations at a colo/cloud provider acquired by Zayo; built a global solutions engineering org in 30 days that contributed 18% of company growth and scaled quarterly revenue from ~$300K to ~$1.25M.”
Staff Software Engineer specializing in cloud-native enterprise web platforms
“Engineering leader focused on developer platforms and identity: led a 5-person team building a multi-tenant IAM framework extending Duende IdentityServer, including governance, API standards, and multi-language SDKs. Drove major API architecture improvements by introducing GraphQL alongside REST, cutting client calls from 4 to 1 and reducing payload size by 60% within 6 months, with strong emphasis on stability (semver, E2E tests, feature flags, blue-green deploys).”
Senior Software Engineer specializing in enterprise web apps and ERP/SAP integrations
“Frontend-focused engineer who built an expense management solution inside Microsoft Teams using React and Formily, modernizing reimbursement workflows that handle ~20,000 approvals per year. Demonstrated practical debugging and reliability improvements (stabilized multi-attachment uploads via event-binding investigation and hash-map-based targeting) and delivered ~30% performance gains by changing data structures, while coordinating stakeholders and team resources during quarter-end pressure.”
Mid-level QA Automation Engineer specializing in web, mobile, and API test automation
Junior AI Software Engineer specializing in Android ML and LLM-powered recommendations
Executive Technology Leader specializing in Cloud, Security, and Product Development