DevOps Observability Engineer

About the Position

At Datadope, we’re transforming how organizations understand, monitor, and manage their systems through observability and intelligent data analysis. We work with leading clients in critical sectors, and we’re looking for a DevOps Observability Engineer to join our team.

You’ll work in a technically demanding environment surrounded by top talent, where your experience will be key to evolving and automating a complex ecosystem of tools and services. If you enjoy tackling technical challenges, improving established solutions while exploring new technologies, and shaping impactful standards - we want you on our team!

Responsibilities

• Design and implement observability solutions tailored to each client’s infrastructure and business needs, using multiple monitoring and analytics platforms.
• Develop audit and compliance frameworks to ensure data integrity and adherence to client-specific regulatory requirements.
• Work closely with client technical and business teams to deliver end-to-end observability projects, from assessment to deployment and optimization.
• Define, document, and apply best practices and observability standards across diverse client environments.
• Identify opportunities to automate and streamline monitoring processes, improving reliability and reducing operational overhead for clients.
• Provide technical guidance and ongoing support to client teams, ensuring successful adoption and long-term value of implemented solutions.
• Collaborate cross-functionally with DataDope’s internal experts (SRE, Product, Sales, and others) to align client project outcomes with our overall service excellence.
• Share knowledge, mentor teammates, and contribute to a culture of continuous improvement and learning.
• Promote and embody DataDope’s vision of Observability- helping organizations gain full visibility and control over their digital ecosystems.

Tech Stack

• Monitoring and alerts: Prometheus, Grafana, Zabbix
• Logging: ELK Stack (Elasticsearch, Logstash, Kibana), Fluentd, Loki
• Tracing: Jaeger, OpenTelemetry
• Automation & CI/CD: Jenkins, GitLab CI, Azure DevOps
• Infrastructure as Code: Terraform, Ansible, CloudFormation
• Containers & Orchestration: Docker, Kubernetes
• Cloud: AWS, GCP, Azure (CloudWatch, Stackdriver, Azure Monitor)
• Scripting languages: Bash, Python, Go
• Messaging: Kafka, RabbitMQ (for distributed event tracing and observability)

Requirements

• Core Skills:

  • Observability
  • Monitoring
  • Analytics
  • Compliance
  • Automation
  • Technical guidance
  • Best practices

• Secondary Skills:

  • Prometheus
  • Grafana
  • Zabbix
  • ELK Stack
  • Fluentd
  • Loki
  • Jaeger
  • OpenTelemetry
  • Jenkins
  • GitLab CI
  • Azure DevOps
  • Terraform
  • Ansible
  • CloudFormation
  • Docker
  • Kubernetes
  • Bash
  • Python
  • Go
  • Kafka
  • RabbitMQ

We Offer

🧠 Innovative projects with emerging autonomous AI technologies.

🌍 100% remote or hybrid work from our Madrid offices.

💸 Competitive salary based on experience.

📚 Annual budget for training and certifications (Udemy, Coursera, etc.).

🕓 Flexible schedule and reduced working hours in July and August.

💻 High-performance team with a tech-first culture.

🧘‍♀️ Collaborative environment surrounded by top technical professionals.

About the Company

Datadope is dedicated to helping organizations gain full visibility and control over their digital ecosystems through observability and intelligent data analysis. We work with leading clients in critical sectors, providing innovative solutions and fostering a culture of continuous improvement and learning.