DevOps Engineer

Stack

Responsibilities

• ▹Design and automate CI/CD pipelines (GitLab CI/CD) for fast, safe and repeatable releases
• ▹Adopt and manage Infrastructure as Code with Terraform and Ansible on on-premise and AWS resources
• ▹Package and operate services with Docker and Kubernetes, declarative configuration and GitOps practices
• ▹Implement and maintain monitoring, logging and tracing solutions (Prometheus, Grafana, ELK, Zabbix) and take part in on-call rotations
• ▹Embed security best practices (OWASP Top 10, least privilege IAM, shift-left testing) into the SDLC and automate security controls in pipelines
• ▹Support management and automation of database infrastructure (MySQL, MongoDB): provisioning, backups and automated schema migrations
• ▹Automate deployment, scaling and operational health of core platform services (authentication, data pipelines, messaging)
• ▹Participate in technical design discussions and document runbooks and standards
• ▹Champion DevOps culture and share knowledge through demos, pair programming and internal workshops

Requirements

• ▹1-3 years of professional experience in a DevOps or SRE role, focused on automation, infrastructure and CI/CD
• ▹Hands-on experience with CI/CD pipelines
• ▹Practical experience with Docker and exposure to Kubernetes, including writing Dockerfiles and debugging containerized applications
• ▹Familiarity with Infrastructure as Code tools such as Terraform or Ansible
• ▹Experience with at least one monitoring, logging or alerting system (e.g. Prometheus, Grafana, ELK, Zabbix)
• ▹Proficiency in at least one scripting language (e.g. Python, Bash) for automation
• ▹Basic understanding of security best practices in the SDLC
• ▹Good analytical skills and a methodical approach to troubleshooting
• ▹Clear English communication

Nice to have

• ▹Experience with event-driven systems (e.g. ActiveMQ)
• ▹Contributions to open-source projects
• ▹Familiarity with backend development concepts (e.g. Java/Spring Boot)
• ▹Working knowledge of AWS fundamentals (EC2, S3, IAM)
• ▹Financial-services or high-throughput data processing background

Soft skills

What we offer

• ▹Flexible work environment: output matters, not hours logged
• ▹Ultra-international team (18+ nationalities) across Milan, London and New York
• ▹Annual company retreat at a stunning location
• ▹Fast-track career progression for early team members

About the company

MDOTM is a global provider of AI-driven investment solutions with offices in London, Milan and New York. It recently closed a USD 27M growth equity round, and its Sphere platform supports over USD 100B in assets under management for institutional clients.