Job Description
What you ll do
Work with Joule DevOps team to manage AI product and services globally. Lead the process of moving applications from development to production and make sure our products run smoothly in production. Design, implement, and manage DevOps capabilities using CI/CD toolsets and automation. Analyze the existing infrastructure and provide expertise on containerization and migration to Kubernetes (K8S). Work on infrastructure as code and ensure teams have the environments, deployment pipelines, and tools necessary to be efficient, e.g., automate processes for environment setup, deployments, monitoring and debugging, etc. Identify and address security and performance issues. Maintain a strong focus on quality and customer satisfaction.
What you bring
Bachelor s degree in Computer Science, Computer Engineering, Software Engineering, or a related discipline that provides a solid background in software development. Experience with cloud tools such as Cloud Foundry, Kubernetes, Docker, Jenkins, Ansible, Kibana, Grafana, or Dynatace. Good technical understanding of the intersection of development and operations (DevOps), monitoring / management / deployment tools and processes. Experience with public cloud infrastructure such as AWS, Azure, or GCP. You are an excellent collaborator with good communication skills. Fluency both written and spoken in English,
Tech you bring
Operating system fundamentals, Shell scripting, Kubernetes, AWS, Jenkins
Tech youll learn
Artificial Intelligence, Generative AI, Large Language Models, Production Operations at scale, Cloud technologies , Infra as Code
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: SAP
Location(s): Bengaluru
Keyskills:
Computer science
Automation
Product engineering
SAP
Architecture
Artificial Intelligence
Shell scripting
Debugging
Analytics
Monitoring