Descrial
Cloud Architect
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ABOUT DESCRIAL
Descrial is an AI work-execution platform purpose-built for alternative investment firms and their portfolio companies and securely orchestrates proprietary data, external sources, and workflows. Descrial is an important pillar of Enterprise Intelligence Orchestration (EIO) and enables it by structuring and standardizing data while embedding domain expertise, thereby enabling faster and contextual analysis, broader coverage, and more intelligent decision-making. It is backed by TresVista's 1,800+ employees and deep domain expertise across investment diligence, research, valuation, fund administration, accounting, and data analytics. The team is small, senior, high-ownership, and in-office, with direct access to the Executive Committee.
OVERVIEW
As Cloud Architect, you will own the infrastructure architecture of a multi-tenant AI platform serving confidential investment workflows: AWS foundations, Kubernetes-based runtime, infrastructure as code, and the security, isolation, and cost posture the platform's enterprise clients demand. LLM workloads make this unusually interesting — capacity, token economics, model-provider integration and the data boundaries around them sit inside your remit, not beside it.
ROLES AND RESPONSIBILITIES
Architecture and foundations
- Own AWS architecture end to end: accounts and landing zones, networking and VPC design, EKS/ECS runtime patterns, RDS/S3 data services, and DR/HA posture
- Codify everything: Terraform modules, Helm charts, and repeatable environment automation with security and compliance built in
- Design multi-tenant isolation as a first-class property: network, data, identity, and per-tenant configuration boundaries that survive audit
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Security, compliance, and cost
- Partner with the Cyber Security Lead on IAM, secrets, encryption, and hardening; support SOC 2 / ISO 27001 alignment, emerging ISO 42001 and EU AI Act obligations, and client security reviews
- Own the cloud cost model, including LLM/API spend visibility and controls — cost per workflow is a platform KPI
- Design the data boundaries around model-provider calls: where prompts and documents travel, how that path is regionally constrained, and how it is evidenced to clients
Delivery and operations
- Build and improve CI/CD (Jenkins with quality gates) and progressive-delivery patterns for platform and AI services
- Establish observability standards (OpenTelemetry, metrics, alerting) and operational runbooks with the engineering team
- Guide engineers across London and Bengaluru on cloud patterns; review designs that touch infrastructure
WHO YOU ARE
Prerequisites
- You have architected AWS environments at production scale — landing zones, networking, multi-tenant isolation — and can walk through the decisions you would now make differently; typically 3+ years in an architecture role within 6+ years in infrastructure or platform engineering
- Deep Kubernetes (EKS), Terraform, and Helm experience; strong networking and security fundamentals
- Multi-tenant SaaS architecture experience with real isolation and compliance requirements
- Evidence of cost engineering at scale, ideally including AI/LLM workload economics
- You build with AI coding tools daily (Cursor, Claude Code or comparable) and have a considered view of where they help and where they do not
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Good to have
- AWS certifications (Solutions Architect Professional class)
- SOC 2 / ISO 27001 implementation experience; awareness of ISO 42001
- Financial-services or regulated-environment infrastructure
- GPU/model-serving or LLM-provider integration architecture
EDUCATION
Bachelor's degree in engineering, computer science, or a related field, or equivalent experience.
WHAT WE OFFER
- You will be working closely with the Executive Committee who have over 20 years of experience in leading a company with 400+ leading clients in the alternative investment space
- Competitive compensation
- Opportunity to build something impactful for established and leading companies in the financial services industry
- Innovative, supportive, and collaborative work environment
- Office in central London (King's Cross)
HOW WE HIRE
- Stage 1: Introductory conversation
- Stage 2: Technical assessment
- Stage 3: Interview with a senior member of the team
- Stage 4: Final interview with a member of the Executive Committee
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