Cloud Infrastructure & Agentic Architect (f/m/d)
- Pune (IND)
- IT
- Fulltime
- Published: 28.05.2026
What do we do?
Pioneering a new era and offering a cohesive alternative to the fragmented landscape of construction software, Thinkproject seamlessly integrates the most extensive portfolio of mature solutions with an innovative platform, providing unparalleled features, integrations, user experiences, and synergies.
By combining information management expertise and in-depth knowledge of the building, infrastructure, and energy industries, Thinkproject empowers customers to efficiently deliver, operate, regenerate, and dispose of their built assets across their entire lifecycle through a Connected Data Ecosystem.
What your day will look like
About the Role
We are looking for a Cloud Infrastructure & Agentic Architect (f/m/d) to own the technical foundation of our cloud platform. You will maintain our service catalog, design architectural blueprints, establish the observability standard, and — most distinctively — bring hands-on LLM-driven tooling skills to a team actively shaping what the next generation of cloud operations looks like.
This is a senior individual-contributor role reporting to the Infrastructure Lead, with direct CIO-adjacent visibility. You will sit at the intersection of platform engineering and technology strategy, contributing to platform roadmap decisions — not just executing them. The team is small, ownership is total, and iteration cycles are short.
Time allocation (approximate):
~40% LLM-driven tooling & workflow design | ~30% architecture & catalog governance | ~20%
observability | ~10% collaboration & documentation
Key Responsibilities
Service Catalog & Platform Governance
- Build and maintain a minimalistic, opinionated service catalog of approved cloud components across Google Cloud and Azure
- Apply a serverless-first, PaaS-first philosophy — challenge complexity and push back on
unnecessary infrastructure sprawl - For every approved catalog entry, deliver production-ready configuration: IaC, security baseline,observability hooks, and runbook
- Scrutinise every new component request and justify its addition in terms of cost, operational overhead, and platform alignment
Cloud Architecture
- Define, document, and govern cloud architectural blueprints across networking, compute, storage and data layers
- Design event-driven pipelines that trigger AI-assisted validation, drift detection, and deployment gates
- Serve as the technical authority on platform design decisions within your domain
LLM-Driven Operations
- Implement LLM-based automated deployment capabilities using tools such as OpenCode, Claude Code, or equivalent frameworks
- Design and operate infrastructure workflows augmented by AI agents — from deployment validation to configuration drift detection
- Stay ahead of the market in AI-assisted tooling and bring relevant innovations into the platform
Observability
- Define the observability standard: structured logging, distributed tracing, alerting, dashboards, and SLO/SLA frameworks
- Establish platform-level KPIs and ensure consistent adoption across engineering teams
Collaboration
- Partner with DevOps and Engineering teams to embed platform standards into delivery pipelines
- Partner with SecOps to integrate all controls and security requirements
- Document everything: blueprints, ADRs, runbooks, onboarding guides
What you need to fulfill the role
Required Skills & Qualifications
You have operated multi-cloud Kubernetes environments in production, built IaC pipelines with Terraform and have hands-on experience with LLM-driven tooling in real engineering workflows. Specifically:
- Proven cloud networking experience: firewalls, gateways, VPCs, VPNs, private service connect, and network security groups
- Strong, current proficiency across Google Cloud Platform (GKE, Cloud Run, Cloud Functions, VPC, Cloud Armor, Pub/Sub, Artifact Registry) and Microsoft Azure
- Proven IaC experience with Terraform (required); Ansible a strong plus
- Proven hands-on LLM tooling experience: must have used OpenCode, Claude Code, or equivalent AI-assisted coding/deployment agents in real engineering workflows
- Kubernetes at scale: demonstrated experience operating AKS (Azure Kubernetes Service) and GKE (Google Kubernetes Engine) — cluster lifecycle, upgrades, networking, and workload management
- Experience with Vertex AI, Azure AI Foundry, or similar cloud model gardens
Comfortable working in ambiguity, driving clarity from first principles without heavy process support - Experience in Agile/fast-iteration environments with high individual ownership
Nice-to-Have (Bonus Skills)
- Knowledge of C5, SecNumCloud, ISO 27001, or equivalent cloud security frameworks
FinOps — cost attribution, rightsizing, commitment strategies - Prior experience in a SaaS product company at scale
- Platform engineering / SRE background
Soft Skills
- Intense technical curiosity — you follow the market, test new tools, and form opinions before they become mainstream
- Strong problem-solving discipline: you reach for first principles, not familiarity
- Ownership mindset — you build it, you run it, you improve it
- Clear written and verbal communication: able to document decisions and explain them to non specialists
- Operates well under pressure and tight constraints — energised by hard problems
- Strong negotiation skills — fact-driven and data-driven: you argue with evidence, not opinion
- Highly collaborative: you build alignment across engineering, SecOps, and leadership
What success looks like
Month 3: Service catalog baseline documented; at least 10 approved components with full IaC, security baseline, and runbooks in place
Month 6: Observability standard adopted by 8+ engineering teams; LLM-assisted deployment
workflows running in production
Month 12: Platform architecture ADRs covering all major components; FinOps baseline
established; catalog governance process self-sustaining
You're probably NOT a fit if
- You need a large team to delegate to before making decisions
- You prefer deep specialisation in a single cloud over breadth across two
- You're not actively following the LLM/AI tooling space
- You're looking for a role with clearly defined scope and minimal ambiguity
What we offer
- Multicultural team across 7 countries (Germany, France, UK, UAE, Spain, New Zealand, Australia)
- Hybrid-first working
- Continuous learning & certification budget (GCP / Azure certifications fully sponsored)
- Open, inclusive, and high-ownership culture
We are a passionate bunch here. To join Thinkproject is to shape what our company becomes. We take feedback from our staff very seriously and give them the tools they need to help us create our fantastic culture of mutual respect. We believe that investing in our staff is crucial to the success of our business.
Your contact:
Preethika Ramdass
How to apply
Submit your application at careers.thinkproject.com, including:
Salary expectations
Potential start date
A short write-up (max 300 words) on the most complex cloud infrastructure or LLM-driven workflow challenge you have solved — this is the most important part of your application
Working at thinkproject.com - think career. think ahead.
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