We are looking for a Senior DevOps Engineer!
If you're ready for a challenge, you'll become part of a passionate group exploring the potential of generative AI and multimodal models to detect and prevent the spread of misinformation. You’ll collaborate with ML engineers, MLOps specialists, and fact-checkers in designing a new generation of intelligent systems capable of verifying information automatically.
Your mission:
to design, monitor, and optimize a robust infrastructure of data pipelines, microservices, AI models, and web servers that power the intelligent agents we’re building to fight fake news. As a DevOps Engineer, you’ll play a key role in shaping, implementing, and maintaining the systems that support our rapidly evolving platform. You’ll work hand-in-hand with AI and data teams to automate workflows, improve reliability, and ensure scalability.
Requirements:
* 3+ years of experience in a DevOps engineering or similar role
* Hands-on experience with containerization technologies, including Docker and Kubernetes.
* Experience in system automation for scalable environments.
* Strong knowledge of networking concepts, protocols, and security practices.
* Strong experience with cloud platforms like AWS, Azure, Google Cloud.
* Proficiency in IaC automation tools such as Terraform, CloudFormation, Ansible, etc.
* Knowledge of scripting and programming languages such as Python, Bash, or Go.
* Advanced understanding of designing and implementing GitOps processes.
* Strong experience in Monitoring and Observability tools, with hands-on expertise in OpenSearch, Grafana, Fluentd, Prometheus as well as managing Docker image registries.
* Proficient in using CI/CD tools such as Jenkins, GitLab CI, or CircleCI.
Plus if:
* Experience in startups or fast paced environments
* Certification on at least one of the main cloud providers (e.G. DevOps engineer certification from AWS and/or ML Engineer certification)
* Experience in MLOps and LLMOps pipelines.
* Basic understanding of different ML models
* Understanding of data pipelines, CI/CD, and ML lifecycle management.
* Experience with MLOps Frameworks like Kubeflow, MLFlow, Airflow, etc.
What we offer
* Competitive salary :
We’ve defined a clear career path, with salary ranges aligned to each technical level
* Full-remote position :
Work from anywhere in Spain.
* Optional co-working spaces :
Available in Madrid and Vigo, if you prefer an office setting.
* Flexible working hours :
You're free to organize your day as long as you're available during our core hours.
* Flexible compensation plan Through the Cobee card for meals, transport and private health insurance.
* Annual off-sites :
We get together at least once a year.
* Time off :
23 vacation days, plus December 25th and 31st off. We also switch to a compact work schedule during July and August.
* Choose your preferred operating system.
Our hiring process
* Initial screening with HR (45 mins)
* Technical assignment
* Technical interview (1 hour)
* Meet the CEO (45 mins)
* Offer