.png){kind=logo}
Vetted Incident Response Professionals
Pre-screened and vetted.
Mid-level Full-Stack Software Engineer specializing in platform and legacy modernization
Executive Operator & Founder specializing in licensing marketplaces and multi-site operations
Senior Product Manager specializing in SaaS, AI-driven analytics, and digital health
Executive Technology Leader specializing in regulated multi-tenant SaaS and LLM-enabled products
Senior DevOps & Cloud Engineer specializing in Kubernetes, IaC, and DevSecOps
Senior Cloud Security Engineer specializing in Azure security and cloud governance
Senior DevOps Engineer specializing in cloud-native Kubernetes and DevSecOps
Junior Production Operations & Platform Analyst specializing in enterprise financial services
Senior DevSecOps Engineer specializing in secure CI/CD and cloud compliance
Mid-Level Data Engineer specializing in cloud data pipelines and lakehouse/warehouse platforms
Senior Full-Stack Engineer specializing in AI-driven SaaS platforms
Senior Backend Software Engineer specializing in FinTech and distributed systems
Senior Cloud Security Architect specializing in multi-cloud security and DevSecOps
Mid-level Cloud Security & DevSecOps Engineer specializing in AWS/Azure security automation
Director/VP Infrastructure & AI Platform Engineering specializing in on-prem GPU data centers
Eric Takor
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.”
Carlotta Island
Junior Frontend Engineer specializing in React and FinTech web applications
“Developer who uses AI as a practical collaborator rather than a crutch, pairing tools like Claude with console logging, testing, and hands-on validation. They emphasize understanding code, data flow, and architecture while staying current by building projects and following AI and engineering communities.”
Preethi Bandari
Mid-level Full-Stack Developer specializing in scalable web applications
“Developer who uses AI tools pragmatically to accelerate coding while keeping full ownership of system design and decision-making. Emphasizes rigorous review, testing, and alignment with architecture, security, and performance standards, and stays current on AI through both industry sources and hands-on experimentation.”
Rohitha Dollu
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.”
Rathi Anand
Senior Full-Stack Software Engineer specializing in Insurance, FinTech, and AI/ML applications
“AI/backend engineer who fine-tuned and deployed a production LLM chatbot using a LangChain + FAISS RAG pipeline, improving latency with PEFT/LoRA and driving strong business impact (40% customer adoption; 92% satisfaction). Also served as technical lead on a data aggregation system for underwriting/quoting, introducing GraphQL for more efficient, maintainable querying and applying CDC to keep cached ranking data fresh at scale.”
Francis Amalraj
Executive engineering leader specializing in SaaS, cloud platforms, and AI-assisted development
“Senior engineering executive with 20+ years combining architecture depth and org leadership, including teams up to 125 people across software, QA, hardware, and embedded engineering. Notable wins include rebuilding a logistics platform's data layer to sub-second latency with 250% higher throughput and driving 3-5x delivery speed through AI-assisted engineering workflows.”
Lokender Yadav Kanneboina
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.”