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