DevOps Engineer – ML & Data Infrastructure

🕒 il y a 29 jours

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

⛑ Ingénieur DevOps & SRE

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

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High 5 Games

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 1995

🎮 Jeux vidéo

🎲 Jeux d'argent

🤝 B2B

Gaming • Gambling • B2B

High 5 Games est un développeur et fournisseur de jeux de machines à sous de casino et de services de plate-forme connexes. L'entreprise crée et distribue des dizaines de titres de machines à sous en ligne et terrestres (plus de 150), offre des jackpots progressifs et des outils de promotion dans le jeu, et fournit une plateforme de casino ainsi que des solutions de studio de jeux pour les opérateurs et partenaires. High 5 Games sert des casinos réglementés et des opérateurs en ligne avec des intégrations B2B ainsi que des expériences sociales et en argent réel pour les joueurs.

Description

• 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. • Lead and mentor DevOps engineers, helping guide technical decisions and operational processes. • Support sprint planning, task prioritization, and cross-functional coordination across infrastructure and platform initiatives. • Conduct code reviews, share best practices, and contribute to building a high-performing engineering culture. • Collaborate closely with ML, Data, Product, and Security teams to align infrastructure strategy with business objectives.

🎯 Exigences

• 5+ years of experience as a DevOps Engineer, ideally with a focus on ML and Data infrastructure. • Experience leading projects, mentoring engineers, or managing technical teams. • 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. • Strong communication, collaboration, and stakeholder management skills. • Bonus points if you’ve worked in gaming, real-time fraud detection, or AI-driven personalization systems.

🏖️ Avantages

• Health insurance • Retirement plans • Paid time off • Remote work options