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Methods Tech Stack

Digital transformation consultancy for UK public sector modernisation

Information Technology & Services London 201–500 employees Founded 1990 Privately Held

Methods is a 35-year-old public-sector focused consultancy operating at scale across central government departments. The stack is heavily Microsoft-centric (Azure, Entra ID, Defender, Sentinel) paired with cloud-native infrastructure (Kubernetes, Docker, PostgreSQL, Redis), signalling deep integration with UK government tech standards. Hiring is senior-weighted and security-conscious—7 active security roles alongside engineering and ops—reflecting the complexity of public-sector delivery and the emphasis on compliance-first transformation.

Tech Stack 156 technologies

Core StackPython Go GraphQL PostgreSQL Redis Azure Functions Azure DevOps Docker Kubernetes Helm Jira Confluence Prometheus Grafana Salesforce Azure Stack Hub Azure WebSocket OpenAPI NATS MinIO Azure Key Vault Azure SQL Database OAuth Keycloak Azure Pipelines Microsoft Sentinel Microsoft Defender XDR Azure Entra ID Microsoft Defender for Endpoint+122 more
AdoptingSalesforce Flow

What Methods Is Building

Challenges

  • Maintaining high utilisation
  • Supporting critical uk public sector programmes
  • Identifying skills gaps
  • Improving sacm practices
  • Data quality and integration
  • Maintaining accurate cmdb
  • Public sector delivery challenges
  • Expanding private sector client portfolio
  • Complex project scheduling
  • Deploying document management platform

Active Projects

  • Digital delivery portfolio research coordination
  • Prioritised sacm roadmap
  • Data quality and automation improvements
  • Integration of discovery and service mapping into cmdb
  • Business analysis service development
  • Document management platform deployment
  • Identity management programme
  • Recruitment strategy
  • Annual team development plan
  • Bench utilisation optimisation

Hiring Activity

Accelerating50 roles · 20 in 30d

Department

Engineering
12
Ops
10
Design
8
Security
7
HR
4
Data
3
Research
3
Sales
2

Seniority

Senior
35
Mid
9
Manager
5
Junior
1
Lead
1

Notable leadership hires: Technical Lead

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About Methods

Methods partners with UK central government departments and agencies to modernise legacy infrastructure and transition to platform-based service delivery models. The consultancy operates across advisory, digital transformation, ERP implementation, and analytics, with specialisation in public-sector discovery and service redesign. Active projects span identity management, document platform deployment, configuration management improvements, and data quality automation—each addressing systemic friction in government operations. The 201–500-person workforce is predominantly senior and mid-level talent, concentrated in engineering, operations, design, and security disciplines.

HeadquartersLondon
Company Size201–500 employees
Founded1990
Hiring MarketsUnited Kingdom

Frequently Asked Questions

What technology stack does Methods use?

Methods operates on Microsoft Azure (including Azure Stack Hub, Functions, SQL Database, Pipelines, DevOps), complemented by Kubernetes, Docker, PostgreSQL, Redis, and cloud-native tools (NATS, MinIO). Security tooling includes Keycloak, OAuth, Azure Entra ID, Microsoft Sentinel, and Defender XDR. They recently adopted Salesforce Flow.

What is Methods working on?

Current projects include identity management programmes, document management platform deployment, configuration and asset management roadmaps, CMDB integration with service mapping, data quality automation, and business analysis service development—all aimed at modernising UK public-sector operations.

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How this profile is built

Methods'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.