MLOps / DevOps Engineer - AI Infrastructure

MLOps / DevOps Engineer – AI InfrastructureThe DevOps Engineer is responsible for supporting and improving cloud and ML/AI infrastructure, automating deployments, and maintaining CI/CD pipelines to ensure efficient, secure, and scalable development workflows. This role plays a crucial part in infrastructure automation, monitoring, and cloud security while collaborating with Software and ML Engineers, Product support, QA, and Security teams. As a key member of the DevOps team, the DevOps Engineer helps manage cloud environments, CI/CD pipelines, and Infrastructure as Code (IaC), ensuring high availability and compliance with security best practices.In This Role, You'll Get To:Cloud Infrastructure, Security & ReliabilitySupport and maintain scalable, highly available, and secure cloud infrastructure in accordance with company policies and standards.Provision and manage cloud resources using Infrastructure as Code (Terraform, Terragrunt, CloudFormation).Implement cloud security best practices, including IAM/role-based access controls, encryption, vulnerability management, and secure infrastructure configurations.Support containerized environments and orchestration platforms.Apply DevSecOps principles across infrastructure and deployment workflows.Participate in disaster recovery planning, testing, and recovery activities.CI/CD, Automation & DeploymentMaintain and optimize CI/CD pipelines using tools such as GitLab CI/CD and Jenkins, supporting application and ML model deployments.Improve deployment reliability and support zero-downtime deployment strategies.Automate configuration management, infrastructure provisioning, and routine operational processes.Troubleshoot deployment and pipeline issues and implement improvements to prevent recurrence.Develop scripts and automation to reduce manual work and improve engineering efficiency.AI & Agentic InfrastructureHelp design, deploy, operate, and secure infrastructure supporting AI and agentic products, including MCP, agents, integrations, internal tooling, and customer-facing use cases.Use AI-assisted engineering tools, coding copilots, and AI-driven troubleshooting to improve DevOps productivity and reduce repetitive operational work.Evaluate and adopt practical AI-enabled workflows that improve infrastructure management, troubleshooting, and operational efficiency.MLOps & ML Platform InfrastructureOperate and scale ML platform infrastructure, including Databricks and Sagemaker clusters, jobs compute, ML pipelines, and Model Serving endpoints.Manage production model-serving infrastructure, including compute capacity, provisioned throughput, and autoscaling for high-throughput inference workloads.Maintain infrastructure-level monitoring for model drift, data quality, inference performance, and serving health, while partnering with ML Engineering on model evaluation, quality thresholds, and model correctness.Partner with ML Engineering to support reliable CI/CD and production deployment of ML models.Observability, Incident Response & Engineering CollaborationMaintain monitoring, logging, metrics, and alerting solutions using tools such as Prometheus, Grafana, Coralogix, and CloudWatch.Support incident response and perform Root Cause Analysis (RCA) for infrastructure and deployment-related issues.Improve system observability through effective log aggregation, metrics collection, monitoring, and alerting.Partner with Software Engineers, ML Engineers, QA, and Software Engineers in Test to improve deployment workflows and integrate automated testing into CI/CD pipelines.Collaborate with IT Security to maintain secure cloud operations and infrastructure policies.Respond to engineering and Product Support requests in a timely manner and provide technical infrastructure support when needed.Maintain accurate internal technical and operational documentation.Collaborate effectively with international teams across multiple time zonesWho You Are And What You'll Need For This Position:3+ years of experience in DevOps, Cloud Engineering, Site Reliability Engineering (SRE), or a similar infrastructure-focused role.2+ years of hands-on experience supporting production ML/AI infrastructure, including model serving, training pipelines, and model monitoring.2+ Hands-on experience with Databricks (clusters, jobs, ML pipelines, Model Serving) and/or AWS SageMaker (endpoints, inference, model deployment, provisioned throughput, autoscaling) in a production environment.2+ years of hands-on experience with AWS services such as EC2, S3, RDS, Lambda, IAM, VPC, SQS, API Gateway, or similar services.2+ years of experience working with containerized environments and orchestration platforms such as Kubernetes and Amazon EKS.Strong experience building and maintaining CI/CD pipelines using tools such as GitLab CI/CD or Jenkins.Hands-on experience with Infrastructure as Code using Terraform, Terragrunt, CloudFormation, or similar technologies.Strong Linux system administration and troubleshooting skills.Solid understanding of networking fundamentals, including routing, load balancing, network security, and related concepts.Scripting experience with Python, Bash, or similar languages to automate infrastructure and operational tasks.Nice To HaveExperience with Google Cloud, particularly for candidates who have worked across multi-cloud environments.Familiarity with Helm and service mesh technologies such as Istio, Linkerd, Traefik, or similar tools.Experience designing serverless and event-driven architectures (beyond basic usage) using AWS Lambda, API Gateway, and SQS.Exposure to cloud and infrastructure security practices, including vulnerability management and tools such as Nessus, Prowler, Trivy, or firewalls.Knowledge of security standards, compliance requirements, and cloud security best practices.Experience with observability, log analysis, and monitoring platforms such as Coralogix, Prometheus, Grafana, or similar solutions.FinOps experience, including cloud cost monitoring, optimization, and accountability practices.Experience with API gateway or API management platforms such as Kong or Apigee.Hands-on experience using AI tools to improve engineering workflows, automation, troubleshooting, or agentic use cases.Confidence can sometimes hold us back from applying for a job. But we'll let you in on a secret: there's no such thing as a 'perfect' candidate. Have 50% of the criteria? Excited about this opportunity? Passionate about what we do at CreatorIQ? Please apply! CreatorIQ is a place where everyone can grow.What You Will Get From Us:People: Work with talented, collaborative, and friendly people who love what they do.Guidance: Utilize our learning platform to fully get the training and tools you'll need to become successful here from your first day with us.Work/life harmony: 15 days of vacation, floating and company holidays, wellness benefits, and paid parental leave.Whole Health Package: Comprehensive medical, dental, vision, life, and disability insurance, plus additional wellness benefits.Planning for the future: A 401(k) plan to help you plan ahead.Work from home stipend: To assist you in setting up a home office that works for you.Who We Are:CreatorIQ is the operating system for creator-led growth, helping global brands and agencies transform creator marketing into an intelligence-driven growth engine. Powered by the Creator Graph™, which processes more than 250 million social posts daily across more than 15 million creators worldwide, CreatorIQ unifies fragmented platform data into a centralized intelligence layer and system of record for creator relationships, performance, governance, and commerce. More than 1,300 organizations—including Dentsu, Delta Air Lines, Google, Beiersdorf, Nestlé, and Wella—rely on CreatorIQ as the infrastructure to run and scale their creator programs globally. CreatorIQ is a global company headquartered in Los Angeles with offices in Austin, New York, San Francisco, London, Manila, and Warsaw. Learn more at CreatorIQ, we believe that diversity is the key to unlocking our full potential. We are committed to fostering an inclusive, equitable, and empowering work environment where everyone can thrive, regardless of race, ethnicity, gender, sexual orientation, age, religion, disability, or any other characteristic that makes us unique. By embracing our core values of being intentional, pursuing excellence every day, embracing the journey together, being a good human, and staying