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
Productivity • Software
Lead design and operation of scalable AWS/GCP cloud infrastructure. Build and operate Kubernetes (EKS), Docker, Terraform/Terragrunt, Helm and GitOps workflows. Improve CI/CD with GitHub Actions and ArgoCD, implement monitoring and observability, strengthen security, disaster recovery, and developer self-service automation to improve platform reliability and productivity.
Top Skills:
ArgocdAWSBetterstackCloudwatchDockerGCPGithub ActionsGitopsGoGrafanaHelmKubernetes (Eks)LinuxLokiNode.jsPostgresPrometheusRedisRuby On RailsRustServerlessService MeshTerraformTerragrunt
Information Technology • Analytics • Consulting • Pharmaceutical
Build and maintain CI/CD pipelines with GitHub Actions; provision infrastructure with Ansible/Terraform; manage Docker containers and AWX/Semaphore jobs; improve observability, troubleshoot incidents, support on-call rotations, document systems, and follow secure DevOps practices while growing AWS/CloudOps skills.
Top Skills:
AnsibleAnsible TowerAWSAws LokiAwxAzure MirageBashDockerDockerfilesGitGithub ActionsGoLinux/UnixPythonSemaphoreTerraform
_0.png)
AdTech • Marketing Tech
Own and improve AWS infrastructure and platform services using IaC (Terraform/Terrateam). Support reliable cloud and Kubernetes deployments, enhance observability (metrics, logs, tracing), troubleshoot distributed systems, create standards and documentation, and partner with engineering teams on scalable, resilient design.
Top Skills:
AnsibleArgocdAWSConsulGithub ActionsGrafanaHashicorp VaultKubernetesPackerPrometheusRedisTerraformTerrateam
What you need to know about the London Tech Scene
London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.
