Overview
Skills
Job Details
Overview
We are seeking a hands-on Cloud Director to lead cloud strategy, infrastructure implementations, and AI-driven initiatives for a high-performance trading environment. This role combines technical leadership, business development support, and deep execution capabilities across cloud, data center, DevOps, and AI platforms. The ideal candidate has a track record of building scalable, secure, and resilient systems for finance and trading organizations.
Key Responsibilities
Cloud Strategy & Execution: Define and lead multi-cloud and hybrid architectures (AWS, Azure, Google Cloud Platform), ensuring scalability, cost optimization, and regulatory compliance.
Infrastructure Leadership: Oversee data center integrations, networking, storage, and high-availability systems supporting low-latency trading environments.
AI & Advanced Analytics: Implement AI/ML platforms for risk modeling, algorithmic trading, and predictive analytics. Collaborate with data science and quant teams to operationalize models.
DevOps & CI/CD: Lead modern DevOps practices, driving automation with Jenkins, Git, Kubernetes, Docker, and IaC (Terraform/Ansible). Ensure rapid, reliable deployments.
Business Development Support: Partner with leadership to evaluate client infrastructure needs, present solutions, and assist in pre-sales and client-facing discussions.
Security & Compliance: Implement industry best practices in cloud security, regulatory compliance (FINRA, SEC, SOX), and disaster recovery/business continuity.
Team Leadership: Mentor engineers across cloud, DevOps, and infrastructure domains, while remaining technically hands-on in critical projects.
Required Skills & Experience
10+ years in infrastructure/cloud engineering, with at least 5 years in leadership roles.
Proven background in financial services, trading systems, or capital markets infrastructure.
Expertise in cloud platforms (AWS, Azure, Google Cloud Platform) and hybrid cloud/data center strategies.
Hands-on skills in DevOps tools (Jenkins, Git, Kubernetes, Docker, Terraform, Ansible).
Strong knowledge of data center operations, networking (low-latency), and high-availability design.
Familiarity with AI/ML infrastructure (model deployment, MLOps, GPU/accelerated computing).
Excellent communication and business development support experience (client-facing, proposals, technical presentations).
Knowledge of finance/trading regulatory standards and security frameworks.
Preferred Qualifications
Experience working with quant teams, algorithmic trading desks, or financial SaaS platforms.
Certification(s) in cloud technologies (AWS Solutions Architect, Azure Architect, Google Cloud Platform Professional Cloud Architect).
Strong background in disaster recovery planning and global infrastructure rollouts.