10 дней назад
DevOps Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
DevOps Engineer (AI/GCP): Designing, building, and optimizing cloud infrastructure for machine learning operations with an accent on scalable deployments, real-time monitoring, and reliability across Google Cloud Platform. Focus on automating ML and data workflows, building real-time and batch pipelines, optimizing inference latency and cost, and maintaining observability and security for real-money gaming systems.
Location: New York, New York (Remote)
Company
develops gaming products serving millions of players worldwide, including real-money gaming environments.
What you will do
- Manage, configure, and automate Google Cloud infrastructure with Terraform and Ansible.
- Implement CI/CD pipelines for machine learning models and data workflows, including versioning, rollback, deployment, and monitoring.
- Build and maintain scalable real-time and batch data and feature pipelines using BigQuery, Bigtable, Dataflow, Composer, Pub/Sub, and Cloud Run.
- Set up model monitoring and observability to detect drift, bias, and performance issues.
- Optimize AI inference latency and cost efficiency while ensuring platform reliability, scalability, and performance.
- Troubleshoot production ML and data systems and implement deployment, logging, security, and governance best practices.
Requirements
- 3+ years of experience as a DevOps Engineer, ideally focused on ML and data infrastructure.
- Hands-on experience with Google Cloud Platform, especially BigQuery, Dataflow, Vertex AI, Cloud Run, and Pub/Sub.
- Proficiency with Terraform and experience with containerization and orchestration using Docker, Kubernetes, and GKE.
- Experience building and maintaining CI/CD pipelines, preferably with Jenkins.
- Strong understanding of monitoring and logging for cloud and data systems.
- Scripting experience with Python, Groovy, or Shell.
Nice to have
- Experience with Ansible and AI orchestration frameworks such as LangGraph or LangChain.
- Background in gaming, real-time fraud detection, or AI-driven personalization systems.
Culture & Benefits
- Remote work arrangement based in New York, New York.
- Collaboration with data scientists, ML engineers, and DevOps specialists.
- Work on AI systems supporting millions of players and real-money gaming use cases.
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