The DevOps Engineer will design, build, and optimize cloud infrastructure for machine learning operations, manage CI/CD pipelines, and ensure reliability across systems.
We’re looking for a DevOps Engineer to help design, build, and optimize the cloud infrastructure powering our machine learning operations. You’ll play a key role in scaling AI models from research to production — ensuring smooth deployments, real-time monitoring, and rock-solid reliability across our Google Cloud Platform (GCP) environment.
You’ll work hand-in-hand with data scientists, ML engineers, and other DevOps experts to automate workflows, enhance performance, and keep our AI systems running seamlessly for millions of players worldwide.
What You’ll Do
- Manage, configure, and automate cloud infrastructure using tools such as Terraform and Ansible.
- Implement CI/CD pipelines for ML models and data workflows, focusing on automation, versioning, rollback, and monitoring with tools like Vertex AI, Jenkins, and DataDog.
- Build and maintain scalable data and feature pipelines for both real-time and batch processing using BigQuery, BigTable, Dataflow, Composer, Pub/Sub, and Cloud Run.
- Set up infrastructure for model monitoring and observability — detecting drift, bias, and performance issues using Vertex AI Model Monitoring and custom dashboards.
- Optimize inference performance, improving latency and cost-efficiency of AI workloads.
- Ensure overall system reliability, scalability, and performance across the ML/Data platform.
- Define and implement infrastructure best practices for deployment, monitoring, logging, and security.
- Troubleshoot complex issues affecting ML/Data pipelines and production systems.
- Ensure compliance with data governance, security, and regulatory standards, especially for real-money gaming environments.
What We’re Looking For
- 3+ years of experience as a DevOps Engineer, ideally with a focus on ML and Data infrastructure.
- Strong hands-on experience with Google Cloud Platform (GCP) — especially BigQuery, Dataflow, Vertex AI, Cloud Run, and Pub/Sub.
- Proficiency with Terraform (and bonus points for Ansible).
- Solid grasp of containerization (Docker, Kubernetes) and orchestration platforms like GKE.
- Experience building and maintaining CI/CD pipelines, preferably with Jenkins.
- Strong understanding of monitoring and logging best practices for cloud and data systems.
- Scripting experience with Python, Groovy, or Shell.
- Familiarity with AI orchestration frameworks (LangGraph or LangChain) is a plus.
- Bonus points if you’ve worked in gaming, real-time fraud detection, or AI-driven personalization systems.
Similar Jobs
Artificial Intelligence • Edtech • Machine Learning • Software
Support design, deployment, and maintenance of multiregion/multicloud infrastructure on GCP. Build and operate Kubernetes (GKE) clusters, GitLab CI pipelines, GitOps with ArgoCD, Terraform automation, monitoring, and on-call incident response. Integrate agentic AI workflows, observability tooling, and document runbooks to improve reliability and developer productivity.
Top Skills:
AnsibleArgocdBashCloudFormationCompute EngineElkGCPGcp Cloud LoggingGcp Cloud MonitoringGitlab CiGitopsGkeGoGoogle Kubernetes EngineGrafanaKubernetesLinux/UnixLlmsPrometheusPythonTerraform
Digital Media • Software
Design, provision, and manage cloud infrastructure using IaC (Terraform/Pulumi). Build and optimize Docker containers, CI/CD pipelines, container compute (EKS/GKE/ECS/Fargate/Cloud Run), serverless functions, networking, storage, and databases. Implement cloud security and compliance controls, automate operations with code (Go/Python/Node.js/Bash), and ensure monitoring and high uptime while working independently with cross-functional teams and clients.
Top Skills:
AWSAws LambdaAws WafBashCdnCi/CdCloud RunCloud SqlCloud StorageDockerDockerfilesEcsEksEncryptionFargateGCPGcp Cloud ArmorGcp Cloud FunctionsGkeGoKubernetesLoad BalancerMessage QueueNetwork FirewallNode.jsPulumiPythonRdsS3Secrets ManagementTerraformVpcVpn
Artificial Intelligence • Software • Industrial • Manufacturing
Design, build, and operate secure, tenant-isolated cloud infrastructure and CI/CD for an AI-native multi-tenant platform. Implement observability, policy-as-code, SLAs, incident response, and automate provisioning (Terraform/Helm). Support deployment, monitoring, and secure operations for ML/agent systems at scale.
Top Skills:
ArgocdAWSAzureCi/CdDockerDustEmbedding PipelinesEncryptionGCPGithub ActionsGitopsGke)Gpu ScalingGrafanaHelmIamImage ScanningKey ManagementKubernetes (EksLangchainLanggraphOpaOpentelemetryPineconePrometheusPulumiQdrantReactRegoRetrieval-Augmented Generation (Rag)Secrets RotationSentryTerraformTgiVector DbsVllmVpcWeaviate
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
