Staff Platform Engineer defining cloud and DevSecOps strategy for Robots & Pencils’ enterprise AI systems. Leading Kubernetes, AI/ML infrastructure, migrations, reliability, security, and platform standards remotely in Canada.
About the role
- VP of Platform Engineering overseeing cloud operations and infrastructure at d1g1t. Leading technical strategy to scale and secure the platform for a growing Fintech company.
Responsibilities
- Develop and execute a comprehensive strategy for infrastructure, platform engineering, cloud operations, AI-enabled automation, and production support, aligned with company goals and growth trajectory.
- Drive scalability and performance of the d1g1t platform as we expand data volumes; deliver measurable improvements in uptime, latency, and system throughput.
- Set clear operational excellence objectives and metrics to improve reliability, incident management, automation, failure rates, SLAs compliance and cost efficiency.
- Oversee the architecture, maintenance, and optimization of cloud infrastructure.
- Manage core platform services, including APIs, databases, data pipelines, and networking.
- Implement AI-driven cloud cost optimization, capacity forecasting, and intelligent scaling models to improve resource utilization and financial efficiency.
- Lead infrastructure modernization efforts such as cloud cost optimization, self-service infrastructure, AI-enabled monitoring and self-recovery or platform re-architecture as required.
- Ensure 24/7 operational readiness of production environments, supported by globally distributed cloud operations and support teams.
- Own the end-to-end incident response process, including escalation, coordination, root-cause analysis, and long-term remediation.
- Design, implement, and maintain disaster recovery and business continuity (BCP) strategies.
- Design and implement AI-powered operational capabilities, including AIOps, predictive monitoring, anomaly detection, automated root-cause analysis, and self-healing infrastructure.
- Strengthen data integrity, privacy, protection, and access governance across all production systems.
- Ensure full compliance with relevant frameworks such as SOC 2, ISO 27001, GDPR, SEC/FINRA, and fintech data-protection requirements.
- Oversee relationships with vendors, negotiate contracts and optimize costs.
- Manage team structure, budget planning, and resource allocation across multiple functional units.
- Lead and scale high-performing teams across platform engineering, DevOps, cloud support and security functions.
Requirements
- Advanced technical degree with previous experience leading infrastructure and cloud operations for a growing SaaS organization.
- Minimum 10 years experience in technology operations, including platform engineering, infrastructure and cloud operations, with a minimum of 5 years in a leadership role.
- Previous experience in wealth management, financial services or financial technology industry an asset.
- Strong technical knowledge and strong understanding of SaaS architecture, scalability, observability, and automation practices.
- Demonstrated experience implementing AIOps solutions, AI-based monitoring systems, predictive analytics, or intelligent automation in production environments.
- Background in site reliability engineering principles and operational metrics.
- Familiarity with fintech regulatory and compliance frameworks.
- Experience with hybrid or multi-cloud environments.
- Expertise in data infrastructure or high availability transactional systems.
- Strong operational, analytical and planning skills.
- Outstanding communication and leadership skills.
Benefits
- Excellent opportunity to join a fast-growing Fintech startup
- Working in a culture of collaboration and innovation where your voice is valued and given importance
- Competitive compensation package with bonus and comprehensive healthcare benefits
- Employee and Family Assistance Program
- Fitness and Wellness Credit
- Continuing Education Allowance
- Hybrid work environment and flexible hours
- Ability to work abroad for up to 2 months in a year (some conditions apply).
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