Software Developer 3
The Oracle CX Marketing team is building a new product leveraging Oracle Fusion, focusing on data management, powered by an AI based segment builder/explorer and analytical dashboards to enable marketers take advantage of single 360 view of the customer profile, transactional and behavioral data. The team is responsible for maintaining and upkeeping the data to provide the latest focused customer audience for marketers to leverage and to deliver real-time personalised content and recommendations. Combining this product with Oracle’s Marketing product suite, e.g. Responsys and Eloqua, provides the Oracle’s customer with a world class end-to-end solution for their B2C and B2B marketing needs.
What Fires YOU up?
The Unity product and team is new, so you will have the opportunity to play a ground floor and early foundational and technical role for the team and organization.You should come prepared to learn a lot and to help define and drive initiatives in a strong team that is helping Oracle become the #1 product organisation the world.The ideal candidate has immense technical knowledge and experience and brings in high engineering standards with sophisticated data science capabilities.
Prerequisites
- Strong knowledge of Python and Java. Strong knowledge of any one front end technology
- Knowledge of microservice architecture – Docker/Kubernetes
- Cloud development experience (e.g.: AWS, OCI, etc.)
- Exposure to big data platforms, databases (Hadoop & DW technologies like ADW/RedShift/SnowFlake
- Ability to develop RESTful APIs to serve machine learning models in production using Flask, Django/or any other relevant tools
- Ability to build scalable containerized applications/microservices using Docker and Kubernetes
- Ensure production security standards are followed
- Ensure monitoring is robust and effective
- Zero downtime deployments and a high availability mindset
- Mandatory knowledge of Agile development practises.
- Significant experience working with Linux OS.
- Certifications and hands-on experience in any one AI/ML cloud platform - AWS, Google, OCI Datascience, Azure datascience.
- Experience of SQL/NoSQL(MongoDB, Cassandra) databases.
- Expertise with automation, monitoring and log analysis tools.
- Expert knowledge of network architectures, security, and troubleshooting of connectivity or latency issues.
- Comfortable managing several thousand node deployments and the automation it takes to ensure system uptime and redundancy
- Willingness to work and learn across Full Stack DS - MLOps, Infra, Data science, data engineering, deployments, security etc.
Nice to haves
- Nice to have experience in CX, Adtech or Marketing.
- Nice to have experience in Spark and Scala
- Experience in end-to-end ownership of Machine Learning pipelines -- from data pipelines to the real time prediction engine.
- Experience in Capacity planning for AI/ML Stack and communicating the same to leadership for costing of Hardware requests
- Strong grasp of security and in managing untrusted modelling source codes
- Some knowledge of system configuration tools such as Chef,Terraform GIT, Jenkins/Hudson, Artifactory, Oracle Tech Stack
Career Level - IC3
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