DevOps Observability

At Datadope, we’re transforming how organisations 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 Dev Ops 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!

• 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 Data Dope’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
  Data Dope’s vision of Observability
  — helping organizations gain full visibility and control over their digital ecosystems
• Monitoring and alerts:
  Prometheus, Grafana, Zabbix
• Infrastructure as Code:
  Terraform, Ansible, Cloud Formation
• Scripting languages:
  Bash, Python, Go
• Messaging:
  Kafka, Rabbit
  
  MQ (for distributed event tracing and observability)

🧠 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.

If so, the last step is for you to submit this form. We look forward to getting to know you.

In compliance with current legislation on Personal Data Protection, we inform you that the data controller is Datadope SL, and that your data will be incorporated into our files for the purpose of correctly managing your request for information. Your data will not be transferred to third parties except under legal obligation, and its processing is legitimized by your consent. We also request your express consent.

We also inform you that you may exercise the rights recognized in current legislation regarding access, erasure, restriction of processing, or portability, among others, by sending a letter, enclosing a copy of your , to the data controller, Datadope SL, at the following address: P.º de Europa, 26, P.L. 1, 28703 San Sebastián de los Reyes, Madrid.