Sr Platform Infrastructure Engineer, AI Transformation

About the role

Vantor is seeking a Senior Platform Engineer, AI Infrastructure to help build and operate the secure, scalable foundation for our AI-driven development organization. This role supports Site Sentry, Maritime Sentry, and Storyline—products delivered as part of the broader Tensorglobe spatial intelligence platform. You will work at the intersection of software engineering, cloud infrastructure, reliability, automation, and performance. You will help development teams move quickly and safely by improving the systems that build, deploy, monitor, and operate mission-critical applications across cloud, on-premises, and edge environments. The ideal candidate is a strong software engineer who can design and develop production-quality solutions, automate repetitive operational work, instrument systems for observability, troubleshoot complex failures, and continuously improve platform performance. Our codebase is primarily Python, and success in this role requires a pragmatic, hands-on approach to engineering and operations.

Responsibilities

• Own and improve platform reliability through SRE practices, including service-level objectives, monitoring, alerting, incident response, root-cause analysis, and operational reviews.
• Lead performance management and optimization for services, infrastructure, Cloud Run workloads, databases, and supporting platform components.
• Build and maintain deployment automation that makes releases repeatable, observable, secure, and easy to recover.
• Develop internal tools and platform capabilities in Python to reduce toil, improve developer experience, and make the right operational behavior the easiest behavior.
• Design and operate observability across logs, metrics, traces, health checks, dashboards, and actionable alerts.
• Partner with developers to improve application architecture, code quality, resource utilization, scalability, and production readiness.
• Build, deploy, and maintain on-premises environments at customer sites, including installation, upgrades, configuration, diagnostics, and lifecycle support.
• Support deployment models that span cloud, customer data centers, and edge environments, adapting engineering practices to security, connectivity, and operational constraints.
• Participate in technical design reviews, incident response, documentation, and continuous improvement initiatives across the platform and product lifecycle.

Requirements

• Put security first: protect company, customer, mission,