Cloud Infrastructure and Security Specialist

vor 4 Wochen

Heidelberg, Baden-Württemberg, Deutschland paretos GmbH Vollzeit

Paretos is a prominent AI-driven decision intelligence platform that empowers organizations to make informed, data-centric choices. Our platform enables business users to analyze intricate data, forecast future outcomes, and execute optimal actions through a user-friendly interface, requiring no prior data science expertise. As a remote-first organization with team members distributed across Europe, we believe that our ambitious goals can only be achieved with a talented and diverse workforce.

Paretos is committed to inclusivity and equal opportunities for all. Our corporate ethos is shaped by the principles of GUNG HO—we value meaningful work, the empowerment that comes from achieving shared objectives, and the significance of mutual support. We take pride in uniting passionate, high-achieving, and compassionate individuals from various genders, cultures, backgrounds, and perspectives. Together, they form the core of our company and propel us to new heights every day. The combination of remote work and regular in-person events is key to nurturing our team spirit and culture. We welcome applications from candidates currently residing in Europe or those willing to relocate.

In this role, you will play a crucial part in our engineering team, leading our DevOps and Security efforts. Your responsibilities will include maintaining and enhancing our AWS-based Kubernetes infrastructure to guarantee high availability and optimal performance of our Software-as-a-Service (SaaS) product. Additionally, you will devise and execute a comprehensive security strategy aimed at achieving ISO27001 certification. The ideal candidate will possess a robust background in DevOps, cybersecurity, and compliance standards.

Key Responsibilities

Infrastructure Management:

  • Administer and sustain our AWS-based Kubernetes clusters.
  • Oversee the deployment, configuration, and monitoring of services including Keycloak, Dagster, Temporal, Snowflake, Airbyte, Prometheus, Grafana, Loki, and NGINX Ingress Controller.
  • Ensure the infrastructure is highly available, scalable, and resilient.
  • Automate infrastructure processes using tools such as Terraform, Ansible, or similar.

Security and Compliance:

  • Formulate and implement a security strategy in accordance with ISO27001 standards.
  • Conduct regular security evaluations and vulnerability assessments.
  • Establish and manage security measures to safeguard data and infrastructure.
  • Lead the preparation and documentation for ISO27001 certification audits.
  • Stay informed about the latest security threats and best practices.

Collaboration and Support:

  • Collaborate closely with development teams to embed security best practices into the CI/CD pipeline.
  • Provide training and guidance on security policies and procedures.
  • Engage with third-party vendors and manage security-related aspects of third-party integrations.

Monitoring and Incident Management:

  • Implement and oversee monitoring tools to ensure system health and performance.
  • Address and resolve infrastructure-related incidents and outages.
  • Develop and maintain incident response plans and conduct regular drills.
Qualifications
  • Bachelor's or master's degree in computer science, Information Technology, or a related discipline.
  • Demonstrated experience in DevOps and infrastructure management, particularly with AWS and Kubernetes.
  • Strong knowledge of ISO27001 standards and certification processes.
  • Hands-on experience with security tools and technologies (e.g., firewalls, intrusion detection/prevention systems, SIEM).
  • Proficiency in scripting and automation using languages such as Python, Bash, or similar.
  • Experience with monitoring and logging tools like Prometheus, Grafana, and Loki.
  • Exceptional problem-solving abilities and attention to detail.
  • Strong communication and teamwork skills.
  • Fluency in English is essential; proficiency in German is a plus.

Preferred Qualifications:

  • Relevant certifications such as AWS Certified DevOps Engineer, Certified Kubernetes Administrator (CKA), ISO27001 Lead Implementer, or Certified Information Systems Security Professional (CISSP).
  • Familiarity with other compliance standards such as GDPR, HIPAA, or SOC 2.
  • Experience with configuration management tools like Terraform or Ansible.
  • Familiarity with CI/CD tools such as Jenkins, GitLab CI, or similar.
Benefits

As a member of the paretos family, you will enjoy the following perks:

  • We are a remote-first company, but you are welcome to work from the office and enjoy a great view.
  • At the office, you can showcase your barista skills and brew excellent coffee while engaging in casual conversations with colleagues.
  • You will join a highly skilled and motivated team ready to collaborate and enjoy the journey.
  • We regularly host professional and enjoyable events online and in-person with the entire team.
  • You will receive the necessary office equipment to maximize your potential, as we believe your capabilities should not be limited by hardware.
  • Enhance your continuous learning journey through training sessions, development discussions, and events organized by the team.
  • Enjoy flexible working hours that fit your schedule.
  • Receive a mobility budget to access various transportation options while reducing your carbon footprint.
  • If you are part of the paretos dog club, feel free to bring your furry friend to the office.

We are continually expanding our benefits as we grow to ensure a comfortable and enjoyable work environment for our team members.

Are you ready to make an impact in the AI and Optimization space with us? We look forward to your application.

Note: We encourage you to apply for this role, even if you don't meet all the requirements perfectly. If you have the eagerness to learn, we are happy to consider you as a suitable candidate.

Paretos is an AI-powered end-to-end decision intelligence platform designed for effective, data-driven decision-making across entire enterprises.

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