Your team builds the product. We build the systems behind it. Cloud architecture, Kubernetes, AI infrastructure, and platform engineering - made for production, not demos.
Engineers from
Foundations you never have to redo.
Cutover without the weekend war room.
Self-service, not ticket queues.
Designed for Day-2, not bolted on later.
Ship fast. Secure by default.
Uptime by design, not by luck.
Scale profitably, not expensively.
GPU clusters and inference serving that survive the demo.
Ship-fast platforms that hold up past product-market fit.
Uptime and audit trails for data people can't afford to lose.
Legacy estates moved to cloud-native, one safe slice at a time.
Every recommendation comes from production experience. We've built and run systems at a scale most teams only read about.
DevOps, SRE, platform engineering, security, and FinOps under one roof. No handoffs between vendors, no gaps between disciplines.
We make ourselves unnecessary. Handover means documentation, runbooks, and a team that owns what it runs.
Fixed scope, fixed team. We design, build, and hand over.
Senior infra capacity on a monthly cadence, without the headcount.
Reviews and decisions with your engineers doing the build.
We stay on call after handover. Same people, same context.
Battle-tested, opinionated, evolving with the ecosystem.
SIPATECH delivered a production-ready DevOps stack and full observability layer that genuinely exceeded expectations. Their team demonstrated deep expertise across infrastructure automation, CI/CD pipeline design, and end-to-end monitoring - bringing the kind of technical rigor that is rare to find. What stood out was not just the quality of the work, but how they thought ahead: anticipating operational needs, designing for scale from the start, and leaving us with a system we could own with confidence. Professional, knowledgeable, and sharp. If you need infrastructure work done right the first time, SIPATECH is the team to call.
We worked with Pavan and Sidhartha for an intense DevOps infrastructure project for AI workloads. The goal was to take an existing AWS setup, improve it by making it modular and adapt it for multi-cloud operation across AWS, Azure and GCP. The team led by Shekhar, Pavan and Sidhartha was just stellar. There was an attitude of complete ownership of the outcome, and the project was successfully completed despite many constraints and challenges. This is a high calibre team of thorough professionals with strong knowledge and experience in Cloud DevOps.
A 30-minute call with an architect. What to build first, what to skip, and what it will cost.