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Vetted DevOps Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in LLMs, RAG, and distributed MLOps
Executive Technology & Engineering Leader specializing in AI, SaaS, and cloud platforms
Principal cloud and security partnerships leader specializing in AWS alliances
Executive Engineering Leader specializing in data platforms, cloud modernization, and AI
Executive operations leader specializing in energy, infrastructure, and digital transformation
Director-level Technical Program & Engineering Leader specializing in global platforms, AI automation, and infrastructure
Executive Technology Leader specializing in FinTech and large-scale data platforms
Director-level Product-Led CTO specializing in AI/MarTech, retail media, and omnichannel platforms
Executive Engineering & Product Leader specializing in digital commerce, customer platforms, and applied AI
Executive AI/ML Cloud Architect specializing in enterprise and humanitarian AI systems
Executive technology leader specializing in cloud platforms, AI, and enterprise architecture
Director-level Software Development Manager specializing in large-scale cloud platforms
Mazhar Haq
Senior AWS Cloud Architect and Technical Leader specializing in security, migrations, and cost governance
“Infrastructure/platform engineer with strong AWS and hybrid on-prem networking depth, spanning Kubernetes platform engineering (IaC, autoscaling, GitOps, observability) and large-scale VMware operations. Managed thousands of VMs across 56 US military bases/airports and has resolved real production hybrid incidents involving BGP/Direct Connect route advertisement and prefix-limit constraints.”
Sumer Joshi
Senior Full-Stack Engineer specializing in backend systems and AI applications
“Candidate is deeply focused on AI-native software development, using a deliberate planner/implementer agent workflow with tools like Cursor, Claude, and Kimi. They also built a personal project called Config Proctor, an AI-agent-driven Terraform/AWS self-healing system that identifies infrastructure configuration gaps and proposes fixes.”
Rashi Agrawal
Mid-Level Full-Stack Software Engineer specializing in distributed systems and cloud-native microservices
“Backend engineer (4 years) who built an end-to-end Python backend for a patent-pending in-car massager/heater system, including GraphQL data modeling and Bluetooth integration with an ESP32 microcontroller (reverse engineered a niche protocol). Also has strong platform experience: on-prem Kubernetes/CI-CD (Jenkins/GitLab, exploring ArgoCD GitOps), Terraform-based infra workflows, a RabbitMQ messaging library used across microservices, and an on-prem migration of ~30 critical applications with rollback/parallel-run strategy.”
Christopher Bun
Executive AI/ML technology leader specializing in healthcare, biotech, and legal AI
“Repeat founder and startup advisor with experience spanning academic, health tech, legal tech, sports, and gaming. Has participated in fundraising and due diligence and has built companies, engineering teams, and software platforms from scratch, with a strong product-design-first approach to product-market fit and market selection.”
Chester Nielsen
Executive Chief of Staff and Strategic Operations Leader across SaaS, government, and national security
“Entrepreneurial consultant who relocated to Boston to build a practice from scratch through intensive networking and pro-bono work, leading to being listed as a trusted provider in Leader Bank's CEO toolbox and generating qualified leads. Uses structured strategic frameworks (OODA, Porter's Five Forces, SWOT) to evaluate risk, resource lift, and enterprise/customer impact, with a strong ownership-and-accountability orientation.”
Robert Huang
Director-level IT & Technology Portfolio Leader specializing in tax platforms and AI transformation
“Independent IT consultant running a solo software and cloud services business focused on configurations, integrations, and development. Their strongest experience is in building and sustaining IT operations, including resource models, procedures, security compliance, and best practices, and they are motivated by the high-impact environment they experienced at a small healthcare startup.”
Dilpreet Singh
Executive CTO and Founder specializing in AI platforms and hyper-scale SaaS
“CTO-minded builder seeking to join a startup; previously created an AI-driven platform that abstracted away DevOps and infrastructure for drug discovery researchers. Emphasizes high-leverage, zero-to-one execution with managed cloud/open-source tooling, and a strong reliability/reproducibility mindset validated against existing scientific pipelines.”
michael rosenbloom
Executive technology services leader specializing in cloud, managed services, and outsourcing
“Operator with founder/COO/CEO experience in professional services, managed services, and cloud services (Adjoined Consulting, Virtustream, Lemongrass). Known for instrumenting businesses with real-time pipeline/backlog-to-resource planning systems and for building sales organizations end-to-end, including bookings-based comp plans that drove ~40% CAGR. As VC-backed non-founder CEO, scaled Lemongrass from ~$25M to ~$100M run-rate and applied AI to de-risk SOW/costing and to improve service desk efficiency and gross margin.”
Shaji Nair
Principal Cloud & Digital Transformation Architect specializing in Financial Services and Data Platforms
“Technology-first venture builder with strong familiarity in the VC/accelerator landscape, specializing in greenfield innovation, M&A, and large-scale transformation/modernization. Described building a venture-funded retail banking greenfield startup to integrate lending-as-a-service for SME lending while meeting federal and local financial services compliance requirements.”
Anna Huang
Mid-level Software Engineer specializing in backend distributed systems and cloud platforms
“Software engineer at Intel who owns a production Go/Kubernetes backend for supply-chain transparency and end-to-end hardware integrity verification in a hybrid cloud setup (AWS control plane + Azure data plane). Also built and shipped an AI agent workflow for real-estate due diligence that turns raw Excel spreadsheets into structured investment outputs and auto-generated PowerPoint insights using LangGraph, with strong emphasis on verification, observability, and reliability guardrails.”