DevOps Engineer

QA Team @Lisbon

Sepio creates one of the world’s most cutting-edge and unique cyber security software products. Be a part of our growing software quality assurance team. We have an excellent combination of unique products, tier-1 customers, and just all-around great people.

Location: Central Lisbon, Portugal; Flexible office/home.


  • Design, implement, and maintain highly available and scalable infrastructure on cloud platforms such as AWS, Azure, or GCP.
  • Build and maintain deployment pipelines.
  • Design and implement data pipelines to support various data processing needs across the organization.
  • Work closely with development teams to ensure code is deployed efficiently and reliably while maintaining high standards of security and performance.
  • Identify and implement improvements to our systems and processes, including automation and monitoring solutions.
  • Troubleshoot and resolve issues related to infrastructure and deployments.
  • Collaborate with cross-functional teams to ensure seamless integration of new features and technologies.


  • Minimum 3 years of experience in DevOps, Site Reliability Engineering, or a related field.
  • Strong experience in designing, implementing, and maintaining infrastructure on cloud platforms such as AWS, Azure, or GCP.
  • Proven experience with containerization technologies such as Docker and Kubernetes.
  • Strong scripting skills using languages such as Python and Bash
  • Experience using and building deployment pipeline tools such as Azure DevOps, GitHub Actions, GitLab CI/CD, Jenkins, or CircleCI
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Problem-solving skills and ability to identify, explain, and troubleshoot complex issues.
  • Excellent communication and collaboration skills, with a proven ability to work effectively in a team environment.


  • Experience with monitoring and logging tools such as ELK stack, Prometheus, or Grafana.
  • Experience with database systems such as MySQL, PostgreSQL, or MongoDB.
  • Experience with Machine Learning tools and methodologies, including deployment, monitoring, construction of training pipelines and experiment tracking.
  • Strong understanding of agile development methodologies.


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