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DISID Tech Stack

Digital transformation consulting with AI and cloud infrastructure focus

Information Technology & Services Valencia 51–200 employees Founded 2005 Privately Held

DISID is a Spanish technology consulting firm helping mid-market and enterprise clients navigate digital transformation through cloud adoption, systems integration, and custom software development. The tech stack reveals a heavy observability and ML engineering investment—MuleSoft, Kubernetes, Docker, Prometheus, Datadog, Dynatrace alongside PyTorch, TensorFlow, and LangChain—suggesting internal buildout of AI-augmented SRE and monitoring solutions. Active hiring is concentrated in engineering (13 roles, mid to senior level), with project focus on observability platform optimization and AWS landing zones.

Tech Stack 35 technologies

Core StackMuleSoft Python PyTorch TensorFlow LangChain AWS Docker Kubernetes New Relic Datadog Dynatrace OpenTelemetry Confluence Jira Prometheus Terraform Java Maven Angular TypeScript LlamaIndex Hugging Face Transformers Git Grafana Cloud Fluent Bit Spring MVC Spring Boot HTML CSS SCSS+5 more

What DISID Is Building

◆Challenges

Reducing mttr
Optimizing observability platform
Reducing alert fatigue
Detecting anomalies
Improving mttr
Improving telemetry coverage
Improving observability coverage
Defining slos and slas

▲Active Projects

Observability platform optimization
Sre & obs strategy definition
Aws multi-account landing zone implementation
Observability implementation

Hiring Activity

Accelerating15 roles · 8 in 30d

Department

Engineering

13

Seniority

Mid

6

Senior

4

Intern

1

Lead

1

Manager

1

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About DISID

DISID operates as a technology consulting partner based in Valencia, Spain, founded in 2005. The firm advises clients on digital maturity assessment, business strategy alignment, and implementation of transformation initiatives across cloud, systems integration, and custom software engineering. Primary service areas include cloud platform migration, infrastructure-as-code (AWS multi-account architecture), observability and monitoring stack design, and Java/Spring-based application development. Their tech backbone spans enterprise integration (MuleSoft), containerization (Kubernetes, Docker), monitoring (Datadog, Prometheus, Grafana), and emerging ML tooling (PyTorch, Hugging Face Transformers, LangChain). The company maintains open-source projects in spatial data (gvSIG) and Java frameworks.

HeadquartersValencia

Company Size51–200 employees

Founded2005

Frequently Asked Questions

What tech stack does DISID use?

Core stack includes MuleSoft for integration, AWS for cloud, Kubernetes and Docker for orchestration, Java/Spring MVC for development, and observability tools (Datadog, Prometheus, Dynatrace, Grafana). Recent additions: PyTorch, TensorFlow, LangChain, Hugging Face Transformers for ML workflows.

What is DISID working on?

Current projects focus on observability platform optimization, AWS multi-account landing zone implementation, SRE strategy definition, and reducing mean time to resolution (MTTR) through improved telemetry coverage and anomaly detection.