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
Information Technology • Professional Services • Sales • Consulting
Designs, builds, and maintains cloud environments and CI/CD pipelines for scalable, reliable applications. Responsibilities include cloud platform assessment, infrastructure automation, container orchestration, application deployment, monitoring, vulnerability remediation, security safeguards, testing, documentation, issue tracking, and technical reporting. The role requires extensive Linux, scripting, cloud, integration, testing, and DevOps tooling experience, with at least five years supporting cloud platforms and CI/CD initiatives.
Top Skills:
AnsibleAPIsAWSBashCentosCloudFormationDockerGitGitlab Ci/CdJavaJavaScriptKubernetesLinuxNode.jsOpenshiftPythonUbuntuYtt
Productivity • Software
Lead design, build, and automation of AWS infrastructure using Terraform; create and improve CI/CD pipelines; support a multi-tenant SaaS platform for reliability and security; integrate AI tooling, AI agents, and MCP servers into DevOps workflows to boost delivery speed and reduce toil; establish monitoring, access control, and operational best practices; collaborate with cross-functional teams and communicate with stakeholders.
Top Skills:
.NetAi AgentsAWSC#Ci/CdMcp ServersObservability And Monitoring ToolsPostgresReactSecrets ManagementTerraform
Information Technology • Software • Quantum Computing
Design, build, deploy, and operate an internal AI platform and AI-powered developer workflows. Implement CI/CD for models, prompts, and evaluations; integrate Bedrock/agent frameworks; ensure security, observability, reliability, and cost/version controls; respond to incidents and participate in on-call rotations; promote AI best practices and lead architecture discussions.
Top Skills:
AcpAgentcoreAmazon BedrockArgocdArtifactoryAWSContainerizationEmbeddingsGitGoGrafanaGroovyInfluxdbInfrastructure-As-CodeJenkinsKubernetesLinuxLlmMcpN8NOpensearchPrometheusPythonRagRest ApisTerraformVector SearchZabbix
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
