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AI Futures has been exclusively retained to recruit a DevOps Engineer for a pioneering greenfield project at a market-leading logistics and freight forwarding company. This is a rare opportunity to shape the infrastructure of a new data and machine learning platform within a financially robust, fast-growing, and acquisitive organization.

You’ll work directly with the CTO and engineering team, playing a key role in building scalable infrastructure and CI/CD pipelines that underpin core data operations and ML systems. The role offers excellent scope for future leadership and long-term impact on the business.

What You’ll Do

• Design, build, and maintain robust cloud infrastructure to support data and ML workflows
• Implement and optimize CI/CD pipelines with a focus on testing, versioning, and reliability
• Ensure performance, observability, and fault tolerance across systems
• Maintain cloud-native data platforms (e.g., Snowflake, BigQuery)
• Contribute to governance frameworks: access control, compliance, and lineage tracking
• Develop and manage ML pipelines for training, deployment, and monitoring

We’re Looking For

• Strong hands-on experience with AWS and cloud-native data/ML tools
• Solid grasp of Terraform, Docker, and Kubernetes
• Proven ability to build CI/CD systems for data and ML pipelines
• Proficiency in Python and SQL (experience with PySpark or pandas a plus)

Nice to Have

• Experience with feature stores like Feast or Tecton
• Familiarity with data cataloging tools such as Amundsen or DataHub
• Certifications in AWS, MLOps, or data engineering