Operations Engineer
Core
Architect and implement secure, interoperable solutions and develop robust, vendor-agnostic data platforms for AI and machine learning workloads.
Role type
Senior Operations Engineer (MLOps & Infrastructure)
Builds
Scalable multi-cloud data platforms, MLOps pipelines, and secure infrastructure for AI/ML workloads.
Domain
Cloud Infrastructure & AI/ML Operations
Deliverable
production ML models
Required skills
Container orchestration (Kubernetes, Docker), Network architecture design, Distributed systems management, Relational and non-relational databases (Oracle, PostgreSQL, MongoDB), Monitoring (Prometheus, Grafana), Load balancing and caching (Redis), Security and vulnerability scanning, Version control (Git, Jenkins, GitLab CI), Distributed streaming (Kafka, RabbitMQ), Infrastructure as code (Terraform, AWS CloudFormation), GitOps (ArgoCD), Configuration management (Ansible).
Preferred skills
AI-powered code assistants (Amazon Kiro, GitHub Copilot).
Responsibilities
Architect and implement secure, interoperable solutions; Develop robust, vendor-agnostic data platforms for AI and machine learning workloads; Design security architectures; Assess and optimise system performance; Collaborate with cross-functional teams; Establish CI/CD pipelines; Ensure seamless system integration and cross-platform compatibility.
Seniority
Senior, 10+ years experience