Cloud Infrastructure Specialist, DataArt
hace 1 mes
About the Role
We are seeking a highly skilled DevOps Engineer to join our team at DataArt. As a DevOps Engineer, you will play a critical role in ensuring the smooth operation of our machine learning pipelines and infrastructure.
Key Responsibilities
- Collaborate with our ML Engineers team to design, implement, and deploy machine learning models into production using DevOps principles.
- Develop and maintain DevOps SRE metrics to ensure the health and performance of our systems.
- Administer and monitor our team's platforms, ensuring they are secure, scalable, and efficient.
- Design and implement infrastructure to support our machine learning applications, ensuring high availability and performance.
- Work closely with our development team to ensure seamless deployment and monitoring of our applications.
- Promote a culture of technical excellence, driving the adoption of DevOps, SRE, and MLOps practices across the organization.
Requirements
- At least 3 years of experience in software development, DevOps, SRE, or ML engineering.
- Proficiency in Python programming language.
- Experience working in UNIX/LINUX environments.
- Experience creating CI/CD pipelines and deploying applications to production.
- Experience with Docker, Kubernetes, and cloud services (preferably GCP).
- Excellent communication and collaboration skills.
Nice to Have
- Experience with Kubernetes, Terraform, and infrastructure as code.
- Experience designing and implementing automated tests.
- Experience with monitoring tools such as Grafana, Datadog, and Nagios.
About DataArt
DataArt is a global technology and innovation partner for the financial services industry. We help our clients solve complex business problems and stay ahead of the competition through our expertise in machine learning, cloud computing, and DevOps.
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