13 days ago
Gurgaon, IndiaSenior
Responsibilities
- Design, develop, and maintain reusable cloud infrastructure and platform capabilities using Terraform, Azure, Kubernetes, and Infrastructure-as-Code practices.
- Implement and operate AI infrastructure services including Azure AI Foundry, LLM platforms, MCP gateways, RAG solutions, vector databases, storage, and caching services.
- Build and optimise CI/CD pipelines, automation frameworks, and deployment processes using GitHub and GitHub Actions.
- Enable product teams to securely deploy and consume AI and cloud services through standardised platform patterns, self-service capabilities, and golden paths.
- Implement security, identity, access control, data governance, compliance, data residency, and sensitive-data controls for cloud and AI workloads.
- Establish observability through monitoring, distributed tracing, logging, and usage instrumentation for platform reliability and AI workload performance.
- Drive FinOps and cost optimisation through infrastructure, cloud, AI-service usage monitoring, reporting, and governance controls.
- Support AI service and model lifecycle management, including onboarding, upgrades, deprecation planning, evaluations, and replacement-model rollouts.
- Provide an escalation point for AI-related production support and assist with stale or toxic data and memory cleanup.
- Evaluate emerging cloud, AI, and Platform Engineering technologies and contribute to FNZ’s deployment framework and platform strategy.
Requirements
- Bachelor’s degree or higher, with a minimum A- average for undergraduate study or first-class standing for postgraduate study.
- Experience deploying and operating LLM-based solutions in Azure or another major cloud provider.
- Experience with MCP, AI gateways, model routing, model management platforms, RAG solutions, vector databases, caching strategies, and retrieval pipelines.
- Understanding of agent orchestration frameworks, AI security and governance controls, data residency, and regulatory compliance requirements.
- Experience building reusable platforms, developer self-service capabilities, golden-path architectures, and Terraform modules, providers, or reusable infrastructure frameworks.
- Experience with HashiCorp Vault, Azure Key Vault, or equivalent secret-management technologies.
- Experience with Terraform and Infrastructure-as-Code, Microsoft Azure, Kubernetes production operations and troubleshooting, GitHub, GitHub Actions, OpenTelemetry, distributed tracing, monitoring, and logging platforms.
- Azure AI Foundry and Azure networking and hybrid connectivity experience are preferred.
Benefits
- Flexible and agile working arrangements based on business and personal circumstances.
- Global career opportunities across FNZ offices in the UK, EU, US, Canada, South Africa, and APAC.
- Career advancement and financial rewards based on individual contribution and business impact.
- Opportunity to work with multicultural teams in a rapidly growing global financial-services technology business.
Tech Stack
Categories
About FNZ
FNZ builds an end-to-end wealth management platform that combines software with investment operations and custody for banks, insurers, and wealth/asset managers. Its B2B model spans platform licensing and outsourced administration under regulated frameworks. Founded in 2003 and headquartered in London, FNZ is backed by Caisse de dépôt et placement du Québec and supports over US$2.5 trillion in assets for nearly 30 million investors worldwide.