Cloud Infrastructure & Agentic Architect (f/m/d)

Cloud Infrastructure & Agentic Architect (f/m/d) Pune (IND) IT Fulltime Published: 2026-05-28 What do we do? Introducing Thinkproject Platform 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 At Thinkproject, we run feedback cycles that are honest and frequent. We believe the best engineering cultures are built on trust, transparency, and shared ownership — not hierarchy. Our Pune team is a core part of a global organisation, collaborating across time zones with colleagues in Germany, France, the UK, UAE, Spain, New Zealand, and Australia. Lunch 'n' Learn Sessions I Women's Network I LGBTQIA+ Network I Coffee Chat Roulette I Free English Lessons I Thinkproject Academy I Social Events I Volunteering Activities I Open Forum with Leadership Team (Tp Café) I Hybrid working I Unlimited learning 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. #LI-PR1 #LI-Hybrid