Global Head of Cloud Platform Engineering

ABOUT INNOCAP

Innocap is the leading Dedicated Managed Account Platform (DMAP) globally, providing institutional allocators with a superior way to structure, access, and oversee their alternative investments. With over US$135 billion on the platform and more than 570 employees across the globe, we are transforming how allocators access and manage alternative investments.  

Powered by our people, processes and purpose‑built technology, Innocap is seeking forward-thinking individuals to join us on our exciting journey. At Innocap, you won't just manage what’s here today. You’ll build what comes next. Here, careers are about building, not maintaining.  

We give our people the freedom to think boldly, move quickly, and create real impact with less red tape. Driven by transformation, trust and collaboration, we never settle for the status quo and are constantly finding better ways to serve our clients and actively shape the future of the investment industry. 

At Innocap, your work makes a difference every day – and helps build what’s next for our clients, the industry, and your career. 

Because the future doesn’t build itself. We do. 

ABOUT THE ROLE

As Global Head of Cloud Platform Engineering, reporting to the Chief Technology Officer, you will own Innocap’s cloud runtime, developer platform, SRE practices, observability, cloud security guardrails, technology recovery and cloud economics. You will build and lead a high-leverage global engineering function that operates a secure, resilient and economical cloud estate and provides shared capabilities that make engineering teams faster and more effective.

Your mandate will be to provide global leadership, ownership and accountability across the following areas: 

Cloud Infrastructure, Runtime and Scaling

• The architecture, provisioning, secure connectivity and operational health of Innocap’s cloud infrastructure, primarily Microsoft Azure, including container and compute platforms, managed services, storage, networking and hybrid connectivity.
• Capacity forecasting, cloud quotas, workload isolation and headroom, together with secure and scalable runtime foundations and compute orchestration for data and AI platforms, including appropriate identity, access, consumption, telemetry and emergency controls.

Developer Platform and Engineering Enablement

• Declarative infrastructure provisioning, reusable CI/CD pipelines, artifact management, environment promotion, deployment validation and rollback, with configuration drift eliminated and exceptions visible and time bound.
• Shared source-control and build-platform foundations, repository guardrails, build-agent security, artifact integrity, dependency and secret-scanning integrations, and the lifecycle of non-production and test environments.
• Provide documented, reusable and self-service workflows for provisioning, deployment, access, test data and troubleshooting, and measure paved-road adoption, developer satisfaction, provisioning lead time and time saved.

Reliability, Observability, and Technology Recovery

• The unified observability stack, telemetry standards and end-to-end service-level visibility; establish and govern SLOs, SLIs and error budgets; and lead major technology incident coordination, blameless postmortems and root-cause closure.
• Establish production-readiness standards, named service ownership, sustainable on-call coverage and escalation; maintain an authoritative service inventory, architecture documentation and executable operational runbooks; and reduce alert noise, repeat incidents and operational toil.
• Infrastructure backups, immutable recovery capabilities and failover mechanisms aligned with business-agreed RTOs and RPOs; run evidenced restore tests and coordinated technical recovery exercises and validate application and data recovery with domain teams.

Reliability Cloud Security and Audit Readiness

• Engineer and operate cloud security guardrails, policy as code, scanning, detection integrations, environment isolation, IAM and RBAC, privileged access, secrets, encryption and key-lifecycle controls in partnership with Cybersecurity.
• Automated patching, supported-version maintenance and vulnerability-remediation SLAs across shared platform components; automate continuous control-evidence collection for SOC 2 requirements and institutional client due diligence.

Cloud Economics and Technical Vendors

• Cloud FinOps, including cost visibility and allocation, forecasting, budget alerting, commitment discounts, right-sizing, waste elimination and meaningful workload unit costs; serve as technical and operational owner for core cloud, data-platform runtime, observability and managed-service vendors.

Cloud Platform Strategy and Organizational Leadership

• Define and execute a rolling platform roadmap aligned with business growth, application modernization and operational risk, including shared platform architecture, investment priorities, technical-debt reduction, supported patterns, versioning, upgrade paths, deprecation and retirement of unsupported infrastructure.
• Build and develop a high-performing global engineering team with clear ownership, strong technical leadership, succession and sustainable support coverage; reduce key-person dependency and balance internal capability with managed services and specialist partners.
• The function’s operating plan, staffing strategy and budget; make capacity allocation between operations, reliability improvement and roadmap delivery explicit; prevent urgent support from permanently displacing platform development; and report outcomes through a scorecard covering reliability, recovery, delivery stability, developer adoption, operational toil and unit cost.

PRIMARY QUALIFICATIONS & SKILLS

• 10+ years of experience in cloud infrastructure, platform engineering, DevOps or SRE, including 5+ years leading global platform or infrastructure teams in data-intensive, high-availability environments. Financial services, fintech, capital markets or institutional data-platform experience is strongly preferred.
• Deep architectural expertise in Microsoft Azure, including AKS, networking, Entra ID/IAM, Key Vault and managed services, with modern infrastructure-as-code and CI/CD practices using tools such as Terraform or Bicep and GitHub or Azure DevOps.
• Demonstrated success building reusable self-service platforms, improving developer productivity, establishing production-readiness and on-call practices, and delivering measurable reliability and recovery improvements.
• Experience operating distributed data or compute platforms and enterprise observability tooling with disciplined cost and performance governance. Databricks and Datadog experience is an asset; equivalent platform experience is relevant.
• Experience with SOC 2 control requirements or comparable assurance frameworks, institutional-grade disaster recovery, change control and auditability.
• Proven ability to develop teams, prioritize a roadmap, manage budgets and vendors, translate cloud consumption into unit economics, and make pragmatic build-versus-buy and simplicity-versus-complexity decisions.
• A technically credible player-coach who eliminates manual toil, measures outcomes, develops others and enables application teams rather than creating a centralized approval or ticket-taking bottleneck.
• Excellent communication and stakeholder-management skills, with the ability to influence engineering leaders and translate technical priorities, risks and economics for business leaders.

#LI-Hybrid

Innocap is an equal opportunity employer. We are dedicated to hiring diverse talent and fostering an inclusive, equitable, and people-first culture where everyone feels valued, respected, and empowered to contribute fully – regardless of their background. With employees across the globe, we firmly believe that the unique perspectives and strengths of our people help us grow stronger and allow us to better serve our clients.

If you require accommodation at any stage during your application process, please let us know.  

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