Live opening · Posted 1 day ago

Head – Cloud CoE (Cloud Engineering, xOps & AI Ops)

Pratiti Technologies · Pune District, Maharashtra, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyPratiti Technologies
LocationPune District, Maharashtra, India (On-site)
Work modeNo
SkillsAWS, Azure, GCP, Kubernetes, Terraform
SourceLinkedin
ListedPosted 1 day ago

About the role

Description supplied by the original job listing.

ABOUT PRATITI
Pratiti Technologies is a Pune-headquartered product-engineering company with offices in Austin and Dubai. We partner with Global Capability Centres (GCCs) in India to build software, data and Applied AI capability.
THE ROLE
We are growing our Cloud Centre of Excellence covering five practices:
Cloud & Modernisation
Platform Engineering & DevSecOps
SRE & Observability
FinOps, including FinOps for AI
AI Ops (MLOps, LLMOps, AgentOps)
The CoE works across Azure, AWS, GCP and Databricks. As COE head you will set the charter, build the team, launch the offers and win the business.
WHAT YOU WILL DO
Refine the CoE’s offerings, reference architectures and standards, and launch the new offers within 90 days
Partner with our sales team on GCC pursuits; own solutioning, estimates and the technical win
Turn first engagements into long-term managed services and dedicated teams
Take AI workloads from pilot to production with strong evaluation, observability, guardrails and cost control
Build reusable accelerators for cloud cost, platform engineering and AgentOps
Hire and grow practice leads and architects; own the competency and certification programme
Build our hyperscaler and Databricks partnerships, including partner tiers and co-sell
WHAT YOU BRING
15–20 years in cloud engineering, with 5+ years building or leading a cloud, DevOps or platform practice in IT services or product engineering
A track record of owning pipeline and revenue, not only delivery
An architect- or expert-level certification on Azure, AWS or GCP — and you are still hands-on enough to whiteboard a landing zone or review Terraform
Production depth in Kubernetes, CI/CD, GitOps, infrastructure as code, SRE and FinOps
Real exposure to running ML or GenAI workloads in production (MLOps / LLMOps)
Experience with hyperscaler partner programmes
You use AI tools in your own work and expect your team to as well
GOOD TO HAVE
Certifications across multiple clouds, FinOps Certified Practitioner, CKA or Databricks
Experience leading a platform or cloud team inside a GCC
Exposure to industrial or engineering-software environments

Work arrangement
No

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