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A tech startup specializing in AI is seeking a Senior DevOps Engineer to design and optimize infrastructure for intelligent systems combating misinformation. The role is fully remote in Spain, offering flexible working hours, competitive salary, and additional benefits such as a flexible compensation plan and annual off-sites.
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.
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 assignment
Technical interview (1 hour)
Meet the CEO (45 mins)
Offer