valarian - Technologies Limited
Requirements
• Valarian Technologies is a dual-use technology company building critical tools to safeguard the future in an era of evolving global security challenges. We're rethinking security beyond traditional military domains, addressing asymmetric threats that impact our technological advantage, economic strength, and democratic institutions. • We build Acra – the platform foundation for everything we do as a dual-use technology company. The platform’s name, rooted in the Greek word for citadel (or, fortress), reflects the design and purpose of our infrastructure-agnostic secure enclaves: protecting critical data. Some of the government and commercial workflows include: increased operational resiliency for mission-critical systems and functions; enabling organisations to more quickly and widely adopt emerging technologies while ensuring the integrity of their intellectual property; information flow during disaster response scenarios, and zero-trust / least-privilege environments for M&A, attorney-client privileged communications, etc. And we’ve only scratched the surface. • At our core, we're driven by a shared mission and a belief in making a tangible impact on our world. Whether you join our London HQ or the wider global organisation, you’ll be a part of collaborative, high-performing teams, creating cutting-edge software, platforms, and infrastructure.
Responsibilities
• Deploy & Integrate: Build backend microservices, APIs, and Custom Resource Definitions (CRDs) in Go to integrate ACRA into diverse customer environments (isolated enclaves, edge clusters, hybrid cloud). • Bridge Product & Customer: Translate ambiguous client security requirements and user workflows into practical technical implementations without waiting for detailed specs. • Kubernetes Application Development: Develop containerized applications, Helm charts, and event-driven microservices running seamlessly on customer K8s platforms. • Collaborate with Specialists: Partner with embedded DevOps/Infra specialists (for base cluster provisioning) and ML/AI engineers (for model harness integration), keeping client value at the center. • Close the Feedback Loop: Identify recurring integration patterns and work with core engineering to turn custom client fixes into standardized platform features.
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