You’re ready to gain the skills and experience needed to grow within your role and advance your career by using the latest AI technology to deliver enhancements and efficiencies across all products and services within the database product line.
Job responsibilities
- Work alongside existing product teams leveraging AI technologies to enhance the customer experience, drive efficiencies and build innovative automation across the entire database product line.
- Executes standard software solutions, design, development, and technical troubleshooting
- Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
- Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
- Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
- Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
- Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
- Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
- Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 2+ years applied experience.
- Experienced in Python and or Java programming.
- A fundamental understanding of AI, ML and LLM concepts, terminology and technology, preferably with hands on experience.
- A fundamental understanding of databases and database technologies
- Hands-on practical experience in system design, application development, testing, and operational stability
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- A self-starter, willing to learn, research and develop solutions based on new and innovative ideas.
- Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
- Emerging knowledge of software applications and technical processes within the AI, ML or LLM domain.
Preferred qualifications, capabilities, and skills
- Problem-solving and analytical skills
- Hands on experience working with database technologies
- Experience building, deploying Machine Learning models, and the ML Lifecycle
- Exposure to cloud technologies