Avint is hiring a Platform Engineer to support and protect critical enterprise cybersecurity platforms and infrastructure. In this role, you’ll be part of a high-performing team responsible for building, automating, and maintaining secure platforms that support endpoint protection, log management, and authentication services. You’ll work at the intersection of infrastructure engineering, security operations, and compliance, helping ensure systems are scalable, resilient, and aligned with federal requirements.

• Lead and mentor a high-performing team of software developers • Partner with product managers, engineers, AI/ML experts, healthcare providers and the teams which support them to identify and develop platform use cases, and the associated features and fixes needed to support them • Take ownership for making sure our business critical services remain safely operational for our customers • Partner with product management in Agile sprint management rituals • Work hands on as time allows with Zus codebases

• Own the product strategy and roadmap across cloud platform infrastructure, core platform trust, SQL engine performance, and observability — balancing long-term platform integrity with pragmatic delivery. • Define and drive the vision for regional infrastructure and expansion — making Dremio Cloud available, performant, and cost-efficient wherever customers need it, through repeatable and policy-driven deployment models. • Own the roadmap for identity, access management, and governance — ensuring enterprise customers can enforce access controls, meet compliance requirements, and gain audit visibility without specialist overhead. • Drive the strategy for query performance, Reflections, and Iceberg support — ensuring execution is continuously optimised and the platform stays current with the data ecosystem by default. • Lead observability and reliability strategy — defining the metrics, logs, traces, SLOs, and alerting that surface meaningful health signals to internal teams and customers. • Drive automation and operational capabilities that allow the platform to scale sustainably — including provisioning, upgrades, capacity planning, self-healing behaviour, and cost optimisation. • Define the operational model for private and sovereign cloud deployments — ensuring consistency, supportability, and scalability across deployment types. • Use telemetry, reliability data, and customer signals to identify gaps, validate improvements, and continuously raise the bar on platform quality. • Collaborate closely with UX Design, Engineering, Cloud Ops, Security, Finance, and RevOps to ensure platform capabilities ship operable, secure, and commercially aligned. • Own documentation of all product requirements, deliverables, and user enablement content. • Drive clear communication across engineering and support teams to ensure product-related issues transition smoothly through defined channels.

• Build and operate our Databricks-based Data & AI platform in the Microsoft Azure cloud • Design and implement CI/CD processes (GitLab) as well as Infrastructure-as-Code (Terraform) • Take responsibility for the platform’s performance, availability, security and cost control in day-to-day operations • Evaluate new technologies and integrate suitable tools, frameworks and services into our platform architecture • Work closely with our data scientists, data analysts, data engineers and BI developers • Implement and operate scalable data pipelines (Python, SQL, Spark, Asset Bundles, etc.) • Actively contribute to architecture decisions, technology reviews and the engineering governance setup of the factory