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Armakuni Tech Stack

AWS Premier Partner delivering cloud modernization and generative AI services

IT Services and IT Consulting London, London 201–500 employees Founded 2012 Privately Held

Armakuni is a cloud-native consulting firm with 300+ AWS certified professionals advising enterprises on digital transformation. Their active project portfolio—heavy on CI/CD infrastructure, generative AI architecture, and RAG pipelines—combined with engineering-led hiring (8 of 11 open roles) signals a shift toward AI-embedded cloud work rather than traditional lift-and-shift migration. Pain points around deployment consistency and data quality suggest clients are struggling with operational maturity as much as cloud adoption.

Tech Stack 102 technologies

Core StackDocker Nginx AWS Kubernetes Terraform Grafana Jenkins GitLab CI/CD CircleCI CloudFormation Node.js Python Visual Studio MySQL PostgreSQL Oracle SQL Server Hadoop Apache Spark Kafka Apache Airflow Docker Compose Apache Azure AWS CodePipeline Subversion Azure DevOps Server IIS Visual Studio Code Eclipse+72 more

What Armakuni Is Building

Challenges

  • Deployment issues in production
  • Tight deadlines for releases
  • Inconsistent environment configurations
  • Integrating disparate data sources
  • Ensuring data quality and security
  • Optimizing database performance
  • Continuous vulnerability assessment
  • Cloud infrastructure management

Active Projects

  • Cloud infrastructure management
  • Establishing best practices for deployment processes
  • Ci/cd pipeline implementation
  • Operational monitoring dashboard
  • Generative ai application architecture
  • Rag pipeline development
  • Model deployment and monitoring
  • Scalable generative ai solutions using aws cloud
  • Retrieval-augmented generation pipelines for enterprise applications
  • Ml pipelines for automated data preprocessing, training, validation, and monitoring

Hiring Activity

Accelerating10 roles · 5 in 30d

Department

Engineering
8
Data
1
Sales
1

Seniority

Senior
6
Lead
3
Mid
1

Notable leadership hires: Tech Lead

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About Armakuni

Armakuni advises mid-market and enterprise clients on cloud modernization, AWS architecture, DevOps, and emerging AI/ML capabilities. Founded in 2012 and headquartered in London, the firm operates as an AWS Premier Partner with 10 competencies and 16 service delivery programs. Their service model combines advisory frameworks (PUSH, PULL, LIFT) with hands-on engineering delivery across microservices, CI/CD, Kubernetes, Terraform, and increasingly generative AI. The stack spans Docker, Kubernetes, AWS, Terraform, and modern CI/CD tooling (CircleCI, GitLab CI, AWS CodePipeline), reflecting deep infrastructure and deployment automation expertise. They serve buyers in digital transformation, cloud infrastructure, and data engineering—both direct buyers and engineering leaders evaluating vendor capabilities.

HeadquartersLondon, London
Company Size201–500 employees
Founded2012
Hiring MarketsIndia

Frequently Asked Questions

What is Armakuni's AWS partnership status?

Armakuni holds AWS Premier Partner status with 10 competencies, 16 service delivery programs, and over 300 AWS-certified professionals on staff.

Does Armakuni do generative AI consulting?

Yes. Active projects include generative AI application architecture, RAG pipeline development, and enterprise-scale AI solutions on AWS. Thought leadership includes collaboration with Team Topologies authors on modern engineering culture.

What is Armakuni's tech stack?

Primary stack: Docker, Kubernetes, Terraform, AWS, Nginx, Jenkins, CircleCI, GitLab CI/CD, CloudFormation, Python, Node.js, PostgreSQL, Kafka, and Apache Spark. Heavy emphasis on infrastructure-as-code and CI/CD automation.

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How this profile is built

Armakuni'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.