Principal Software Developer
Oracle
- Bangalore, Karnataka
- Permanent
- Full-time
- Unrivalled data security, privacy, and governance: OCI's generative AI service will allow customers to have complete control and ownership of their data. In addition, unlike other generative AI offerings, Oracle's generative AI services will not mix customer data. As a result, a given business' competitive advantage will always remain its own. Tools for accessing data provenance and lineage will be available as well.
- Embedded generative AI services: By making generative AI pervasive across its portfolio of cloud applications-including ERP, HCM, SCM, and CX-Oracle will enable customers to take advantage of the latest innovations within existing business processes. Oracle will deploy new models for Healthcare and Public Safety and embed generative AI throughout its industry-specific applications. These AI services will boost knowledge workers' productivity and efficiency while freeing up time for ideation, creativity, and value-added tasks and improving the overall employee experience. In addition, Oracle will embed generative AI capabilities into its database portfolio in the same way that it introduced machine learning features in Oracle Database and MySQL HeatWave.
- Generative AI available wherever customers need it: Customers can use the generative AI service in OCI and leverage all the advantages of public cloud to scale solutions on demand, customize models, and create private model endpoints for their business. In addition, Oracle will deliver generative AI services to organizations' data centers, enabling them to combine generative capabilities together with their on-premises data and applications.
- Develop Generative AI services and enterprise specific services around Generative AI with best-in-class security for customers.
- Design and develop scalable infrastructure, including microservices and backend for UI, dashboards and other interactive applications.
- Participate in cloud native development involving identity, logging, tagging, limits, service gateway, private network and other infrastructure concepts
- Work with data scientists/SW engineers to build out other parts of the infrastructure, effectively communicating your needs and understanding theirs and address external and internal shareholder's product challenges.
- Mentor and guide junior engineers on design, development, coding, testing and deployment
- Participate in on-call duty and production operations on rotation
- Bachelor's or master's degree (preferred) in Computer Science, Computer Engineering, or related technical field.
- Expert in at least one high level language such as Java/C#/C++ (Java preferred)
- Expert in at least one scripting language such as Python, JavaScript, Shell (Python and JavaScript preferred)
- Expert in at least one UI framework, e.g., react JS, angular etc
- Practical experience in design, implementation and production deployment of distributed systems using microservices architecture and API's using common frameworks like Spring Boot (Java), Vertex.io etc
- Working knowledge of current techniques and approaches in machine learning and statistical or mathematical models
- Practical experience in Big Data technologies - Spark, Spark streaming, Hadoop, Object Storage (S3), Kafka
- Practical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure, Heroku or similar technology.
- Experience or willingness to learn and work in Agile and iterative development and DevOps processes.
- Strong drive to learn and master new technologies and techniques.
- Deep understanding of data structures, algorithms, and excellent problem-solving skills.
- You enjoy a fast-paced work environment.
- Experience with Cloud Native Frameworks tools and products is a plus
- Having an impressive set of GitHub projects or contributions to open source technologies is a plus
- Hands-on experience or knowledge in Machine Learning Engineering, ML framework, ML Ops or Data Science
- Develop Generative AI services and enterprise specific services around Generative AI with best-in-class security for customers.
- Design and develop scalable infrastructure, including microservices and backend for UI, dashboards and other interactive applications.
- Participate in cloud native development involving identity, logging, tagging, limits, service gateway, private network and other infrastructure concepts
- Work with data scientists/SW engineers to build out other parts of the infrastructure, effectively communicating your needs and understanding theirs and address external and internal shareholder's product challenges.
- Mentor and guide junior engineers on design, development, coding, testing and deployment
- Participate in on-call duty and production operations on rotation
- Participate in hiring and engineering community activities like design review, code review, operations excellence and other OCI programs
- Which includes being a United States Affirmative Action Employer