DevOps Engineer at Creator IQ in New York, NY

Job description

CreatorIQ is the operating system for creator-led growth trusted by more than 1,300 global brands and agencies. We’re on a mission to make businesses more human, and humans more impactful. We operate by our values — be intentional, pursue excellence every day, embrace the journey together, and be a good human — every day. CreatorIQ has earned the title of best companies to work for in multiple programs, including BuiltIn LA and NY. It’s been named a Fastest-Growing Company in North America on the Deloitte Technology Fast 500™ for four years, was named a leader in IDC MarketScape: Worldwide Influencer Marketing Platforms for Large Enterprises in 2025, was named a Leader by The Forrester New Wave™: Influencer Marketing Solutions, and has been consistently recognized by G2 as a Leader, and is rated 5 stars on Influencer MarketingHub. We operate in a flexible work model that combines both in-person and remote work to boost collaboration, enhance innovation, and adapt to individual work styles. We're seeking passionate, innovative minds to join our journey. Be a part of our dynamic team and let's transform the industry together! MLOps / DevOps Engineer – AI Infrastructure The 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 & Reliability • Support 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 & Deployment • Maintain 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 Infrastructure • Help 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 Infrastructure • Operate 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,