DevOps Engineer

Trueflag; Madrid; A distancia; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

A tech company specializing in misinformation detection is seeking a Senior DevOps Engineer to design, monitor, and optimize a robust infrastructure for AI systems. You will collaborate closely with ML engineers and work remotely from anywhere in Spain, enjoying flexible hours and a competitive salary. Join a passionate team pushing the boundaries of generative AI.

Servicios

Competitive salary

Full-remote position

Flexible working hours

Annual off-sites

Flexible compensation plan

Formación

• 3+ years of experience in DevOps engineering or similar role.
• Hands-on experience with Docker and Kubernetes.
• Strong experience with cloud platforms like AWS or Google Cloud.

Responsabilidades

• Design, monitor, and optimize infrastructure of data pipelines and microservices.
• Collaborate with AI and data teams to automate workflows.
• Ensure reliability and scalability of systems.

Conocimientos

Containerization technologies

System automation

Networking concepts

Cloud platforms (AWS, Azure, Google Cloud)

IaC automation tools

Scripting languages (Python, Bash, Go)

GitOps processes

Monitoring tools (OpenSearch, Grafana, etc.)

CI/CD tools

Descripción del empleo

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