Infrastructure/MLOps Engineer
Description For Infrastructure/MLOps Engineer
Two is an innovative fintech company revolutionizing B2B payments through advanced software solutions. As an Infrastructure/MLOps Engineer, you'll join a dynamic team focused on building and maintaining robust cloud infrastructure using cutting-edge technologies. The role combines DevOps and MLOps responsibilities, working with technologies like GCP, Kubernetes, Terraform, and PostgreSQL. You'll be responsible for designing and implementing scalable solutions, managing containerized applications, and supporting ML infrastructure. The position offers a hybrid work environment in either Glasgow or Oslo, with comprehensive benefits including learning allowances and flexible work arrangements. This is an excellent opportunity for a skilled engineer to make significant contributions to a growing fintech platform while working with modern cloud and container technologies. The role includes on-call support duties and requires a balance of technical expertise with strong collaborative skills.
Responsibilities For Infrastructure/MLOps Engineer
- Design, deploy, and manage infrastructure on Google Cloud Platform (GCP)
- Implement and maintain Kubernetes (GKE) clusters using Docker and Helm
- Develop and manage Infrastructure as Code (IaC) using Terraform
- Manage containerized applications with Docker
- Administer and optimize PostgreSQL databases
- Implement robust security measures
- Configure and maintain NGINX for load balancing and security
- Develop and manage CI/CD pipelines
- Collaborate with Data and Machine Learning teams on MLOps infrastructure
Requirements For Infrastructure/MLOps Engineer
- Proven experience with Google Cloud Platform (GCP) and GKE
- Strong expertise in Kubernetes and Helm
- Proficiency in Terraform
- Hands-on experience with Docker and containerized environments
- Strong database management experience with PostgreSQL
- Experience configuring and managing NGINX
- Strong understanding of network security and authentication mechanisms
- Experience with monitoring and logging solutions
- Experience with GitHub workflows and CI/CD pipelines
- Strong problem-solving skills
- Excellent communication and collaboration skills
- Python scripting skills (preferred)
- Familiarity with MLOps infrastructure (preferred)
Benefits For Infrastructure/MLOps Engineer
- 25 days paid time off plus public holidays
- Pluralsight account and £100/NOK 1000 annual learning allowance
- £500/NOK 5000 annual health and wellness allowance
- £500/NOK 5000 cell phone contribution every 24 months
- Hybrid work environment
- Up to 30 days of working from abroad annually
- Cycle to work scheme (UK only)
