Lead Database Scalability & Diagnostics Engineer in Reading

Using AI, you need to design, develop, debug and resolve software problems for Oracle database areas, especially in the Scalability and performance areas. Strong database domain knowledge and programming background is a must. Customer escalation management experience should come naturally to the candidate for this job. This role requires the developer to have proven ability to utilize AI solutions and work collaboratively across global teams. As a member of the software engineering division, you will take an active role in the definition and evolution of standard practices and procedures.

The Database Sustaining Engineering organization is considered the go-to team for all aspects of product experience at Oracle both on Cloud and on-premises environments. We are best known for diagnosis and resolution of problems in just about all the Oracle Server Technologies product areas and doing the product enhancements related to improving resilience and diagnostics of the product. We are also in the forefront in adopting GenAI in the workflows and delivered solutions related to GenAI based problem triage, summarization, monitoring, anomaly detection, etc.

This is a Customer Focused Engineering work environment and it is technically challenging and rewarding: you need to understand complex code fairly quickly. You have to be able to conceptualize the interaction of software components and products together in a stack. You need to be prepared to expect the unexpected and have a strong focus on customer satisfaction. We are looking for people who are fast learners, highly motivated, and have great communication skills.

This position is for Scalability and Database performance area along with Autonomous Health Improvement project of Oracle Database Development as part of Database Sustaining Engineering, where the focus is to improve Resilience and Diagnostics of the code and generate automated insights for faster problem resolution using latest GenAI technologies.

• Implement improvements and defects resolutions along with functionality, design and architecture reviews in Database kernel stack which would help Cloud services and customers and contribute in Oracle’s growth in Database business in all forms.
• Work with highly talented and productive developers to complete the improvements with high quality and in time.
• End to End ownership of assigned module and developing test cases for major bug fixes.
• Identify process improvements in automated problem identification/triage and resolution recommendation.
• Work in global environment and collaborate with multiple teams including presenting your work in development forums.

• Expert software development knowledge in C (or C++) programming language, server/systems level experience in large enterprise class software.
• Excellent understanding of System Architecture and Implementation experience of working/released products with considerable complexity.
• Good Operating Systems knowledge with concepts related to Processes, Memory Management, File Systems, Communications/Networking with IPC, etc.
• Expert knowledge on Database and System performance and how to debug the issues.
• Excellent diagnostics, debugging and troubleshooting experience on Linux/Unix environments, along with ability to identify product improvements.
• Strong customer escalation management expertise is needed.
• Knowledge of Project Management concepts/software (Jira, Sprints, etc.) and ability to multi-task and deal with shifting priorities.

• Working experience in Database kernel Internals, esp. in Transactions Engine, Distributed DB, SQL Engine, etc. would be a big plus.
• Development knowledge in some of these programming languages: Python, XML, JSON, Perl, shell scripting, Javascript, etc.
• Working experience in Enterprise level software in a global development environment, including knowledge of CI/CD, Jenkins, etc.
• Working experience of Cloud environment and processes.
• Working experience in Log Analytics, Automation of developer flows, Kibana, Grafana, etc. in large product.

• Competitive compensation and a comprehensive benefits package.
• Structured onboarding and personalized training, including a minimum 6-week induction.
• Flexible and hybrid working arrangements for optimal work-life balance.
• Opportunity to work with modern technology stacks and collaborate with global teams.
• Defined career development pathways, mentorship, and continuous learning programs.
• Inclusive work environment that values diversity and individual contributions.