DevOps Engineer with MLOps

About us: 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 • Platform Engineering (IaC/EaC, DevSecOps & SRE) • Cloud Native Engineering, Migration to Cloud, VMware Exit • FinOps Data & AI/ML • Data (Cloud Native / DataBricks / Snowflake) • Machine Learning, AI/GenAI Cybersecurity • Infrastructure Security • Application Security • Data Security • AI/Model 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 About the Role: 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: CI/CD Pipeline Development: • 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. Architecture Advisory: • 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. Rate Limiting & Quota Management: • 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).