Oracle

Software Development Director

Job Description

Oracle Cloud Infrastructure (OCI) is a strategic growth area for Oracle. It is a comprehensive cloud service offering in the enterprise software industry, spanning Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS). OCI is currently building a future ready Generative AI Service and Generative AI Agents service. OCI Generative AI service is a fully managed service that seamlessly integrates large language models (LLMs) from Cohere and Meta Llama 2 to address a wide range of business use cases. OCI Generative AI service includes multilingual capabilities that support over 100 languages, an improved GPU cluster management experience, and flexible fine-tuning options. Customers can use OCI Generative AI service in the Oracle Cloud and on-premises via OCI Dedicated Region. Oracle Cloud Infrastructure (OCI) Generative AI Agents combines the power of large language models (LLMs) and retrieval-augmented generation (RAG) with customer's enterprise data, letting users query diverse enterprise knowledge bases. Coming soon, users will be able to access up-to-date information through a natural language interface so they can directly act on it.

Your Opportunity: As we embark upon the journey to offer a superior, holistic and performant Generative AI offerings on cloud, we invite you to participate in this exciting journey by being an engineering leader on the team at our India Development Center. You have the opportunity to lead and manage a cross-functional team to design, build, deploy and operate Gen AI services in cloud. You have the opportunity to work with some of the brightest talent and cross-functional org including TPMs, Product Managers and Customers.

Qualifications:

  • Prior experience working on cloud-scale distributed systems
  • At least 5+ years experience in managing & leading large teams including managers, working on distributed systems
  • Proficiency in Java, Python and Golang
  • Experienced at building highly available services, possessing knowledge of common service-oriented design patterns and service-to-service communication protocols
  • Familiarity with components of modern infrastructure like service discovery, object storage, identity, security, software-defined networking, etc
  • Strong knowledge of Docker/Kubernetes to build and deploy using Terraform, Jenkins, Ansible, etc.
  • Experience with production operations, on-call support, and good practices for putting quality code in production and troubleshoot issues when they arise
  • Hands-on experience or leadership experience with Data science, Machine Learning, ML Engineering, Statistical systems or Gen AI applications are a big plus.
  • Comfort with communicating technical ideas verbally and in writing (technical proposals, design specs, architecture diagrams, and presentations) to different stakeholders
  • Experience dealing with and managing stakeholders like product managers, program managers, senior management and customers


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