
11 - 50 employees
Founded 2021
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
Artificial Intelligence • Enterprise • SaaS
Makai Labs is a technology company that utilizes advanced AI to address operational and strategic challenges for businesses. Through enterprise automation, product design and development, and market intelligence, Makai helps organizations enhance productivity, streamline operations, and empower employees to work more efficiently alongside AI. Founded by MIT alumni, their focus is on creating AI-driven solutions that complement human capabilities rather than replace them, making sure that automation delivers a significant return on investment and improves the overall quality of work.
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11 - 50 employees
Founded 2021
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
Artificial Intelligence • Enterprise • SaaS
Makai Labs is a technology company that utilizes advanced AI to address operational and strategic challenges for businesses. Through enterprise automation, product design and development, and market intelligence, Makai helps organizations enhance productivity, streamline operations, and empower employees to work more efficiently alongside AI. Founded by MIT alumni, their focus is on creating AI-driven solutions that complement human capabilities rather than replace them, making sure that automation delivers a significant return on investment and improves the overall quality of work.
• We build and run cloud platforms for our clients. • A lot of the time that means standing up a reusable Terraform foundation and adapting it for each client and environment. • You'd own these platforms: design them, build them from an empty subscription, keep them running, and act as the person who actually knows how the whole thing fits together. • This is a senior role with a lot of trust attached. • The clients differ, the topologies differ, the pipelines differ. • What stays constant is Azure and the expectation that you can size up an unfamiliar setup, make the right calls, and own the result. • Make the architecture calls and live with them. • Run migrations that carry real risk. • Move a live platform onto a new foundation, read the plan correctly, write the runbook, and have a rollback ready before you start. • Keep platforms healthy over time: provider upgrades, drift, security, and not letting a shared foundation rot as more clients land on it. • Work directly with the client's own DevOps engineers.
• Azure experience is the hard requirement. • You've built and run production Azure yourself, not just used modules someone else wrote. • Azure networking is where most of the work lives: VNets and subnets, private endpoints and private DNS zones, NSGs and UDRs, NAT, Application Gateway and WAF, load balancers, and hub-and-spoke / Virtual WAN. • Terraform on Azure, with state treated as something you respect: workspaces, migrations, imports, remote backends, and the discipline not to force an apply through a lifecycle guard. • The delivery path: Azure Container Registry, VM Scale Sets and cloud-init, and CI/CD with Azure DevOps or GitHub. • Azure data services: Postgres Flexible Server, managed Redis, Blob storage, and a real sense of their sizing, failover, and cutover risks. • Entra ID and RBAC: app registrations, service principals, role assignments scoped properly across subscriptions. • Clear writing and a level head on a live call. You can hand someone a runbook they can follow without you in the room. • Nice-to-haves: Azure certs (AZ-104, AZ-305). • Temporal or similar workflow runtimes, and scripting (Bash, Python) for the glue. • Past consulting or client-embedded work. You've been the outside expert before.
• Small senior teams, real ownership • Be a flexible, innovative and creative thinker • Be congenial and a team player • Be self-sufficient • Be self-driven with an ownership mentality • Have a strong work ethic
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