Defence-focused secure digital solutions and cloud infrastructure
SiXworks builds secure digital infrastructure for defence and national security operators. The tech stack is entirely Azure-native (AKS, storage, networking, Key Vault, Defender) with Kubernetes and containerization-focused tooling (Terraform, Packer, OpenShift, JFrog), indicating infrastructure-as-code maturity and a shift toward declarative, auditable deployments. Active hiring is engineering-heavy (10 roles) with security personnel (6 roles), matching the project load: CI/CD pipeline work, RBAC model development, secure-by-design capability, and SOC service management all signal an organisation scaling internal assurance capabilities while supporting customer cloud migrations.
Notable leadership hires: Account Director
SiXworks is a UK-based provider of secure digital solutions for defence and national security clients with demanding assurance, compliance, and privacy requirements. Founded in 2017 and now part of IBM, the company specialises in digital experimentation, proof-of-concept delivery, and moving solutions from prototype through to live operational service. The service portfolio spans cross-domain security, cyber, air domain systems, combat systems integration, and data-centric architectures. Operating across 51–200 employees, the company focuses on organisations requiring Zero Trust and information assurance models in highly restricted environments.
SiXworks infrastructure is primarily Microsoft Azure: AKS, Virtual Machines, Application Gateway, Virtual WAN, ExpressRoute, Key Vault, and Defender for Cloud. Kubernetes, Terraform, and Packer enable containerisation and infrastructure-as-code.
Current projects include secure-by-design capability improvements, RBAC model development, CI/CD pipeline construction, SOC service management, ISO 27001 certification support, hybrid and multi-cloud connectivity, and proof-of-concept demonstrators for defence applications.
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SiXworks an IBM company's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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