Pre-screened and vetted.
Senior Data Scientist specializing in ML engineering and cloud analytics
Mid-level Software Engineer specializing in full-stack, cloud, and AI systems
Senior Cloud Security Architect specializing in multi-cloud security and DevSecOps
Senior DevOps/Site Reliability Engineer specializing in multi-cloud Kubernetes platforms
Mid-level Cloud Security & DevSecOps Engineer specializing in AWS/Azure security automation
Senior Full-Stack Java Engineer specializing in cloud microservices and FinTech/insurance platforms
Mid-Level Full-Stack Java Developer specializing in Spring Boot microservices and Angular
Director of Information Security and Security Engineer specializing in cloud compliance
Senior Infrastructure & Linux Systems Engineer specializing in cloud, Kubernetes, and IaC
“Infrastructure/platform engineer with end-to-end ownership across Kubernetes and VMware/vSphere, emphasizing automation (Terraform/Ansible), phased upgrades, and reliability validation via testing/failover/monitoring. Has operated hybrid on-prem VMware to AWS environments with VPN/Direct Connect, BGP routing, and security controls, including resolving production connectivity instability and adding redundancy.”
Executive software engineer specializing in iOS, AI, and edge computer vision
“Built a production AI-native internal onboarding feature that reduced manual product setup effort by combining barcode API data, product photos, structured LLM outputs, and a polished real-time camera UI. Demonstrates hands-on experience across the full stack of LLM systems: prompt/schema design, multimodal inputs, backend orchestration with SQS and vector retrieval, and production reliability through evals, telemetry, and drift monitoring.”
Entry-level Software Engineer specializing in backend, cloud, and data systems
“Built across cloud infrastructure, AI-powered product workflows, and backend data reliability in environments including Northeastern, Knead, and Grafx. Particularly compelling for roles needing someone who can both ship AWS-based systems end-to-end and debug messy production issues involving caching, APIs, and data pipelines.”
Mid-level DevOps/SRE Engineer specializing in cloud CI/CD, IaC, and Kubernetes
“Infrastructure engineer with deep production IBM Power/AIX experience (AIX 7.2/7.3, HMC, dual VIOS, PowerHA) supporting ~25–30 LPARs and handling live DLPAR tuning, HA failovers, and Power7→Power9 migrations. Also builds modern cloud delivery platforms—Azure DevOps CI/CD deploying Dockerized microservices to Kubernetes with Terraform-managed AWS infrastructure, strong controls around secrets, drift, and safe rollouts.”
Mid-level Software Engineer specializing in cloud-native systems and AI automation
“Software engineer with hands-on experience shipping production AI agents and end-to-end ecommerce workflows. They built a customer support automation agent with strong guardrails and evaluation practices, then improved it post-launch using real user data to cut latency ~30% and token cost ~25%. Also drove a zero-to-one self-serve order modification product across React UI, backend services, and cross-functional alignment.”
Mid-level Full-Stack Engineer specializing in cloud-native microservices and healthcare portals
“Backend/platform engineer in healthcare and consulting (Molina Healthcare, TCS) who productionized real-time eligibility/authorization and care navigation workflows with strong reliability and HIPAA security. Demonstrated measurable performance gains (≈40% latency reduction, ~99% uptime) using Spring Boot APIs, SQS decoupling, Redis caching, and deep observability, and regularly leads technical demos that accelerate client adoption.”
Mid-level Deployed Engineer specializing in LLM agents and enterprise cloud integrations
“LLM/agent production specialist with strong customer-facing and pre-sales chops: turns demo-grade prototypes into reliable, compliant deployments using RAG tuning, guardrails, evals in CI, and observability with staged rollouts/rollback. Known for engineering-first workshops (including live break-and-fix on retrieval misses, tool timeouts, and prompt injection) that win over skeptical senior developers and drive adoption.”
Senior AI/ML Engineer specializing in decentralized AI and cloud-native platforms
Senior Software Engineer specializing in backend APIs and cloud-native services
Mid-level Full-Stack Developer specializing in cloud-native microservices and AI/ML integration
Director-level Development Manager specializing in AWS cloud and DevOps