onsite
Senior MLOps Platform Engineer - Nearmap
Devops Engineer
Senior engineer responsible for designing, building, and scaling a greenfield MLOps platform on AWS, leveraging Kubernetes, Docker, Terraform and CI/CD pipelines to support large‑scale AI workloads.
About the role
Key Responsibilities
- Architect and implement a scalable, cloud‑native MLOps platform to support continuous training, deployment, and monitoring of AI models.
- Design, provision, and maintain Kubernetes clusters and related infrastructure using Terraform and AWS services.
- Develop and maintain CI/CD pipelines (e.g., GitHub Actions, Jenkins) that automate model packaging, testing, and release processes.
- Implement containerization standards with Docker and ensure secure, reproducible environments for data scientists.
- Collaborate with data science and engineering teams to integrate monitoring, logging, and alerting for model performance and infrastructure health.
Requirements
- 5+ years of experience in cloud platforms (AWS) and container orchestration (Kubernetes).
- Strong proficiency in Python for scripting, automation, and building MLOps tooling.
- Hands‑on experience with infrastructure‑as‑code (Terraform) and CI/CD frameworks.
- Deep understanding of Docker, container registries, and best practices for secure, reproducible builds.
- Proven ability to design and operate production‑grade MLOps pipelines supporting large‑scale AI workloads.
Skills
pythonkubernetesdockerawsterraformcicd