4 hours ago
New York, NY, USAMid Level
Base Salary
$106k - $127k/yr
Responsibilities
- Support and maintain scalable, highly available, secure cloud infrastructure.
- Provision and manage cloud resources with Terraform, Terragrunt, and CloudFormation.
- Implement cloud security controls, IAM, encryption, vulnerability management, and secure infrastructure configurations.
- Maintain containerized environments, orchestration platforms, CI/CD pipelines, and zero-downtime deployment strategies.
- Automate configuration management, infrastructure provisioning, deployments, and operational processes.
- Design, deploy, operate, and secure infrastructure for AI and agentic products.
- Operate and scale Databricks clusters, jobs compute, ML pipelines, and model-serving endpoints.
- Manage production model-serving capacity, throughput, autoscaling, monitoring, and serving health.
- Maintain monitoring, logging, metrics, alerting, and observability systems.
- Support incident response, root-cause analysis, deployment troubleshooting, and disaster recovery activities.
- Partner with Software Engineering, ML Engineering, QA, Security, IT, and Product Support teams.
- Maintain technical and operational documentation and provide infrastructure support.
Requirements
- At least 3 years of experience in DevOps, Cloud Engineering, Site Reliability Engineering, or a similar infrastructure-focused role.
- At least 2 years of hands-on experience with AWS services including EC2, S3, RDS, Lambda, IAM, VPC, SQS, and API Gateway, or similar services.
- At least 2 years of experience with containerized environments and orchestration platforms such as Kubernetes and Amazon EKS.
- Strong experience building and maintaining CI/CD pipelines with GitLab CI/CD or Jenkins.
- Hands-on Infrastructure as Code experience with Terraform, Terragrunt, CloudFormation, or similar technologies.
- Strong Linux system administration, troubleshooting, networking, routing, load balancing, and network security skills.
- Scripting experience with Python, Bash, or similar languages.
- Hands-on experience using AI tools for engineering workflows, automation, troubleshooting, or agentic use cases.
- Experience supporting data, ML, or compute-intensive production workloads.
- Google Cloud and multi-cloud experience are valuable.
- Familiarity with Helm and service mesh technologies such as Istio, Linkerd, or Traefik is beneficial.
- Experience with serverless and event-driven architectures, cloud security, vulnerability management, observability, FinOps, API management, and MLOps is preferred.
- Knowledge of security standards, compliance requirements, cloud security practices, Databricks, model serving, ML pipelines, and model monitoring is beneficial.
Benefits
- Flexible work model combining in-person and remote work.
- 15 days of vacation, floating holidays, company holidays, wellness benefits, and paid parental leave.
- Comprehensive medical, dental, vision, life, and disability insurance.
- 401(k) plan.
- Work-from-home stipend for home office setup.
- Learning platform, training, and onboarding support.
Tech Stack
AWSBashDatabricksGitLab CI/CDGoogle CloudGrafanaHelmIstioJenkinsKubernetesLinuxPrometheusPythonTerraform
Categories
About CreatorIQ
CreatorIQ is the operating system for creator-led growth. Trusted by more than 1,300 global brands and agencies—including Burson, Delta Air Lines, Google, LVMH, Nestlé, and Sephora—CreatorIQ unifies creator marketing across paid, owned, earned, commerce, and community into one seamless, enterprise-grade ecosystem. Powered by the Creator Graph™, CreatorIQ’s industry-leading intelligence infrastructure, along with rigorous compliance and security standards, and integrations with Meta, Snapchat, TikTok, YouTube, and more, CreatorIQ empowers brands and agencies to harness the creator economy as a strategic growth engine.