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Caspian One Tech Stack

Specialist tech delivery for regulated financial institutions

Professional Services Bournemouth, Dorset 201–500 employees Founded 2004 Privately Held

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.

Tech Stack 143 technologies

Core StackKotlin Docker Java AWS Kubernetes Python Langchain AWS Glue AWS Lambda CloudFormation Terraform Azure DevOps ServiceNow C# Bitbucket Spring Boot Cucumber Kinesis AWS ECS IAM AWS KMS API Gateway AWS Step Functions AWS MSK Azure Azure Kubernetes Service Spacelift Azure Key Vault Azure Storage Azure Virtual Network+110 more

What Caspian One Is Building

Challenges

  • Large-scale engineering transformation
  • Regulatory change initiatives
  • Complex hiring
  • Lack of existing trade monitoring system
  • Engineering standards improvement
  • Cross-team consistency
  • Engineering maturity gaps
  • High-volume multi-role delivery
  • Enterprise-wide transformation
  • Complex data-driven programmes

Active Projects

  • Greenfield agentic ai project
  • Engineering transformation and maturity uplift initiatives
  • Engineering communities of practice
  • Business transformation initiative
  • Owning and evolving azure-based cloud infrastructure
  • Designing and improving ci/cd pipelines
  • Supporting and scaling aks/kubernetes environments
  • Os tuning and kernel optimisation
  • Automation tooling and configuration management
  • Observability dashboards and telemetry pipelines

Hiring Activity

Accelerating15 roles · 15 in 30d

Department

Engineering
10
Data
3
HR
2
Finance
1

Seniority

Senior
10
Mid
3
Junior
1
Lead
1
Principal
1

Notable leadership hires: Engineering Practice Lead

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About Caspian One

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.

HeadquartersBournemouth, Dorset
Company Size201–500 employees
Founded2004
Hiring MarketsUnited Kingdom, Canada, Poland

Frequently Asked Questions

What tech stack does Caspian One use?

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.

What is Caspian One working on?

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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How this profile is built

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.