Intuitive is an innovation-led engineering company delivering business outcomes for 100’s of Enterprises globally. With the reputation of being a Tiger Team & a Trusted Partner of enterprise technology leaders, we help solve the most complex Digital Transformation challenges across following Intuitive Superpowers:

Modernization & Migration

• Application & Database Modernization
• Cloud Native Engineering, Migration to Cloud, VMware Exit
• FinOps

Data & AI/ML

Cybersecurity

• Infrastructure Security
• Application Security
• Data Security

SDx & Digital Workspace (M365, G-suite)

• SDDC, SD-WAN, SDN, NetSec, Wireless/Mobility
• Email, Collaboration, Directory Services, Shared Files Services

Intuitive Services:

• Professional and Advisory Services
• Elastic Engineering Services
• Managed Services
• Talent Acquisition & Platform Resell Services

About the Job

Title: DevOps Engineer with MLOps expertise

Start Date: Immediate

Position Type: Contract

Location: Remote across UK/ EU

We are seeking a skilled DevOps Engineer with strong MLOps expertise to join our team and support the development and deployment of a cutting-edge Guardrail Service. This role is critical to ensuring robust CI/CD pipelines, scalable architecture, and reliable observability for AI/ML-powered systems.

Key Responsibilities

• Design and implement CI/CD pipelines for deploying the Guardrail Service, with a focus on automation, reliability, and scalability.
• Integrate with AWS SageMaker and other ML platforms to streamline model deployment workflows.

Monitoring & Observability

• Implement monitoring and observability frameworks tailored to the Guardrail Service.
• Ensure real-time visibility into system performance, anomalies, and ML model behavior.

Testing Framework Support

• Collaborate with QA and ML teams to build and maintain a robust testing framework for the Guardrail solution.
• Enable automated testing for both infrastructure and ML components.
• Provide expert guidance on designing asynchronous processing architectures for scalable and resilient services.
• Evaluate and recommend best practices for distributed systems and event-driven designs.
• Implement rate limiting and quota enforcement mechanisms at the API gateway level.
• Ensure compliance with usage policies and protect system resources from abuse.

Required Qualifications

• 5+ years of experience in DevOps or Site Reliability Engineering.
• Hands-on experience with MLOps tools and platforms, especially AWS SageMaker.
• Strong proficiency in CI/CD tools (e.g., Jenkins, GitHub Actions, GitLab CI).
• Experience with observability tools (e.g., Prometheus, Grafana, ELK stack).
• Solid understanding of cloud infrastructure (preferably AWS).
• Familiarity with asynchronous processing patterns (e.g., message queues, event streaming).
• Experience implementing API rate limiting and quota management (e.g., using Kong, AWS API Gateway, NGINX).

We are an equal opportunities employer and welcome applications from all qualified candidates.