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AI Summary

You will contribute to the design, automation, and maintenance of CI/CD pipelines and infrastructure as code to support a scalable developer platform. Additionally, you will manage monitoring, logging, and security practices to ensure high availability and efficient software delivery for the Sphere platform.

About MDOTM

MDOTM is a global leading provider of AI-driven investment solutions, growing across our offices in London, Milan, and New York. We recently closed a $27M growth equity round, led by Expedition Growth Capital, to support our continued international expansion. Our proprietary platform, Sphere, currently supports over $100B in assets under management for institutional clients including Morgan Stanley, Amundi, and Zurich Bank.


Role Overview

MDOTM, a leading provider of AI-driven investment solutions, is looking for an Intermediate DevOps Engineer to join our Platform Team. You will play a key role in supporting, enhancing, and maintaining the foundational infrastructure and tools that empower our product teams — contributing to a reliable, scalable, and efficient developer platform that enables fast and secure software delivery for Sphere, our proprietary AI-driven investment platform.


Key Responsibilities

  • Contribute to the design, implementation, and automation of CI/CD pipelines (GitLab CI/CD) to ensure fast, safe, and repeatable releases across all environments.
  • Assist in the adoption and management of Infrastructure as Code using Terraform and Ansible, helping provision and manage on-premise and AWS resources in a controlled, auditable, and reproducible manner.
  • Work with Docker and Kubernetes to package and operate services, contributing to declarative configuration, GitOps practices, and efficient resource utilization.
  • Help implement and maintain monitoring, logging, and tracing solutions (Prometheus, Grafana, ELK, Zabbix), and participate in on-call rotations to ensure high availability and low Mean Time To Recovery (MTTR).
  • Contribute to embedding security best practices (OWASP Top 10, least privilege IAM, shift-left testing) into the SDLC and help automate security controls within pipelines.
  • Support the management and automation of database infrastructure (MySQL, MongoDB), including provisioning, backups, and automated schema migrations.
  • Automate and support the deployment, scaling, and operational health of core platform services (authentication, data pipelines, messaging) for internal consumers.
  • Participate in technical design discussions, learn from architectural decisions related to infrastructure and operations, and help document runbooks and standards.
  • Champion DevOps culture ("you build it, you run it") and share knowledge through demos, pair programming, and internal workshops.


Skills Required

  • 1–3 years of professional experience in a DevOps or Site Reliability Engineering (SRE) role, with a focus on automation, infrastructure, and CI/CD
  • Hands-on experience working with and contributing to 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 Stack, Zabbix), and curiosity for SRE principles
  • Proficiency in at least one scripting language (e.g., Python, Bash) for automating common tasks
  • Basic understanding of security best practices in the SDLC
  • Good analytical skills and a methodical approach to troubleshooting system and infrastructure issues
  • Clear English communication, collaborative spirit, and a growth mindset aligned with a culture of shared ownership and rapid feedback


Bonus points:

  • 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


Why Join Us?

  • Work at the leading edge of technology, leveraging our decade of experience in proprietary AI to power a platform trusted by top-tier institutional clients.
  • Truly flexible work environment — we care about output, not hours logged.
  • Collaborate daily with an ultra-international team (18+ nationalities) across our Milan, London, and New York offices.
  • Annual company retreat at a stunning location, because we invest in our people beyond the day job.
  • Real, fast-track career progression, with outsized growth opportunities for early team members.

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