Specialist tech delivery for regulated financial institutions
Caspian One embeds senior technologists into financial services clients' critical programs—trading systems, core platforms, data infrastructure, and AI projects. The tech stack is polyglot but coherent (Kotlin/Spring, Python, AWS/Azure Kubernetes, kdb+ heritage evident in data-platform focus), and hiring velocity is accelerating with 16 roles open in the last 30 days, weighted heavily toward senior engineers and infrastructure specialists. The project list—greenfield agentic AI, engineering transformation, Kubernetes scaling, CI/CD maturity—signals clients grappling with legacy modernization and new AI capability, exactly where Caspian's embedded model (SME + execution discipline) generates differentiation.
Notable leadership hires: Engineering Practice Lead
Caspian One is a UK-based professional services firm founded in 2004, operating exclusively in financial services technology. The firm deploys experienced engineers, architects, and delivery leads into banks, trading firms, and regulated institutions to execute complex, business-critical programs. Work spans front-office trading technology, core banking systems, real-time data platforms, production AI, infrastructure resilience, and change leadership. Caspian operates from Bournemouth with active hiring in the UK, Canada, and Poland. The engagement model emphasizes resource augmentation and co-sourced delivery—embedding specialists into client teams rather than traditional consulting.
Kotlin, Spring Boot, Java, Python; AWS (Kinesis, Lambda, ECS, MSK, Step Functions) and Azure (AKS, DevOps); Docker, Kubernetes, Terraform, ServiceNow. Langchain present for AI work.
Greenfield agentic AI projects, engineering transformation initiatives, Kubernetes and AKS scaling, CI/CD pipeline design, observability and telemetry, infrastructure-as-code tooling, and large-scale delivery in regulated environments.
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Caspian One'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 →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.