Head of Platform Engineering and Cloud
Indexed description
The role leads multiple teams and functions, driving a cohesive platform strategy that supports high-velocity product development, AI innovation, and mission-critical client delivery in a regulated fintech environment. It requires deep technical expertise, operational rigor, and executive leadership to balance innovation speed with uptime, scalability, and risk management.
Job Summary
Define and Lead Platform Strategy
- Own and define the vision and roadmap for Allvue’s enterprise platform across data, APIs, AI/ML, and business logic layers supporting all products and client delivery
- Influence and operationalize platform architecture direction in partnership with Architecture and Engineering leadership to support scalable and reusable enterprise capabilities
- Institutionalize agentic workflows and AI-driven automation as first-class platform components across product lines
- Align and drive platform strategy in partnership with Product and Engineering leadership to meet company-wide business priorities
- Partner with Architecture leadership on cloud design direction while owning operational execution and delivery of secure, scalable cloud environments
- Accountable for availability, resilience, and performance across all production systems and client-facing environments
- Define and enforce SRE practices, including SLAs, SLIs, and error budgets across engineering
- Own cloud cost strategy and governance, balancing efficiency, scalability, and business investment priorities
- Oversee enterprise corporate IT infrastructure and internal technology operations, ensuring secure, reliable, and scalable end-user and business system support
- Own enterprise developer platform capabilities that drive engineering productivity, autonomy, and delivery velocity
- Establish and enforce standards for CI/CD, infrastructure-as-code, and deployment pipelines across all engineering teams
- Ensure organizational capability for high-frequency, low-risk releases across all product lines
- Drive adoption of self-service platform capabilities to scale engineering effectiveness and reduce operational dependency
- Own the strategy and governance of enterprise data platforms, pipelines, and data management frameworks
- Operationalize and enforce adoption of enterprise API standards and service frameworks across the platform ecosystem
- Establish enterprise capability for AI/ML lifecycle management, including model deployment, monitoring, and performance optimization
- Ensure platform readiness and scalability for next-generation AI, data-intensive, and agentic workloads
- Accountable for ensuring platform and infrastructure compliance with SOC 2, GDPR, and financial regulatory requirements
- Embed and enforce security, risk, and control frameworks within platform architecture and engineering practices
- Ensure auditability, data protection, and operational controls across all systems and environments
- Balance enterprise risk, regulatory requirements, and innovation velocity across platform strategy and execution
- Demonstrated ability to operate at an executive level with ownership of enterprise-scale platform and cloud environments
- Proven track record of leading multi-layered engineering organizations across multiple functional domains
- Strong decision-making authority acrossoperations and engineering standards with enterprise impact
- Demonstrated ability to influence enterprise architecture direction in partnership with Architecture leadership
- Ability to align technical strategy with business outcomes in a regulated, high-scale environment
- Deep expertise in cloud platforms (AWS, Azure, or GCP)
- Strong understanding of distributed systems, microservices, and API architectures
- Experience with data platforms, pipelines, and governance frameworks
- Familiarity with AI/ML infrastructure and lifecycle management
- Expertise in DevOps, CI/CD, and infrastructure-as-code practices
- 12+ years of engineering experience with significant experience in platform engineering
- 5+ years in senior leadership roles (Director/VP) managing multi-layered teams in a global environment
- Proven experience building and operating large-scale, cloud-native platforms
- Experience supporting AI/ML or data-intensive systems in production
- Experience in fintech, capital markets, or regulated SaaS environments strongly preferred
- Executive-level written and verbal communication
- Ability to communicate complex technical concepts to business and executive stakeholders
- Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred)
- Health Coverage options along with other voluntary benefits
- Enterprise Udemy membership with access to thousands of personal and professional development courses
- 401K with Company match up to 4% or Employee Pension plan
- Competitive pay and year-end bonus potential
- Flexible PTO
- Charitable Donation matching, along with Volunteer and Voting PTO
- Numerous team building activities to promote collaboration in a fun and fast-paced work environment
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