Mactores is the agent-native AWS modernization firm. Most modernization work doesn't ship, it stalls in pilots, slips a year, or lands at three times the budget. We exist to ship it: production systems running, legacy retired, outcomes measured. Our delivery is built on Aedeon, the agent platform built by Mactores' founders' sister company, which absorbs the repetitive 60–70% of engagement work, discovery, dependency mapping, validation, test generation, that traditional consulting bills human hours against. Forward-deployed engineers own the rest: architecture, judgment, and cutover, on dates we commit to in the contract.

When a firm signs fixed dates and absorbs its own overages, project management stops being status theater and becomes the delivery mechanism. You'll lead a large-scale data center migration and modernization program moving workloads, applications, and infrastructure to AWS planning the waves, tracking the risks, aligning engineering, architecture, security, and business teams, and keeping the committed date defensible every single week.



The engineers own the technical judgment. You own the schedule they ship against and the communication the customer plans against.

What you will do
- Lead end-to-end planning and execution of the data center migration to AWS: assessment, discovery, design, migration waves, and stabilization.
- Drive modernization initiatives containerization, refactoring, re-platforming, and automation improvements.
- Develop and maintain project plans, migration wave schedules, RAID logs, communication plans, and status reports.
- Keep activities aligned with cloud adoption frameworks, enterprise architecture guidelines, and the client's business objectives.
- Track scope, priorities, risks, dependencies, delays, and deliverables across multiple workstreams — surface slippage before it costs the date.
- Serve as the primary point of contact between engineering teams, leadership, and client stakeholders.
- Run steering committee

📌 Project Manager (Mumbai)
🏢 Mactores
📍 Mumbai