DevOps Engineer+AI Tech

Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Plexus Tech Responsibilities * Design, implement, and manage robust CI/CD pipelines for AI/ML models and GenAI applications * Build and maintain cloud-native infrastructure (AWS, Azure, or GCP) to support the full AI lifecycle: from data ingestion and model training to production deployment and monitoring * Automate infrastructure provisioning using Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Pulumi * Ensure scalability, reliability, and high availability of AI services in production environments * Implement and enforce best practices in MLOps, including model versioning, monitoring, rollback, and automated testing * Collaborate with data engineering and ML teams to operationalize AI models and integrate them into business-critical systems * Monitor system performance, debug issues, and lead root-cause analysis and resolution of incidents * Champion

security, compliance, and governance standards across the AI tech stack * Contribute to the continuous improvement of DevOps capabilities and tooling within the AI Tech Team * Act as a technical advisor in DevOps and MLOps practices, fostering a culture of automation and engineering excellence Requirements * 5+ years of experience in DevOps, Site Reliability Engineering, or Platform Engineering roles * Proven experience supporting ML/AI workloads in production environments * Hands-on experience with containerization (Docker, Kubernetes) and orchestration of microservices * Strong background in managing cloud environments (AWS, Azure, or GCP), including cost optimization and security best practices * Solid experience implementing CI/CD pipelines and using tools such as Jenkins, GitHub Actions, GitLab CI, or similar * Familiarity with machine learning workflows, model deployment patterns, and MLOps tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI) * BSc or MSc in Computer Science, Engineering, or a related technical field * Relevant certifications in cloud platforms or DevOps practices (e.g., AWS DevOps Engineer, Azure DevOps, Google Cloud DevOps) are a plus Nice to Have * Experience with microservices architecture * Experience with cloud platforms (AWS) * Familiarity with monitoring tools or logging (ELK, Dynatrace, etc.) * Awareness of security best practices in software development * Understanding of financial services concepts and ISO-20022 Seniority level * Associate Employment type * Full-time Job function * Engineering and Information Technology Industries * IT Services and IT Consulting #J-18808-Ljbffr