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 environmentsCertification 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 modelsUnderstanding 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 levelFull-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.T ime 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 assignmentTechnical interview (1 hour)Meet the CEO (45 mins)Offer