Database Site Reliability Engineer

Overview

We seek a passionate Database Site Reliability Engineer to join our dynamic Database team operating within an accelerated, technology-focused financial setting. This role is well-suited for either an outstanding graduate with a robust technical foundation or an early-career engineer aiming to gain specialized knowledge in database engineering.

Role Expectations

The ideal candidate is technically inquisitive, adapts rapidly, enjoys dissecting complex system interactions, and is especially interested in leveraging AI, automation, and modern engineering methodologies to transform database operations.

AI and Automation Responsibilities

Initially, a major aspect of this role involves investigating how AI can be embedded into our daily engineering workflow. The role includes identifying and developing actionable AI applications such as:

• AI-powered diagnosis of database and application performance problems
• Evaluation of execution plans, SQL queries, and database telemetry data
• Automation of operational investigations and routine database tasks
• Creation of internal tools and agents supporting database operations
• Enhancement of monitoring, alerting systems, and incident analysis
• Transforming operational documentation into effective AI-driven tools
• Utilizing AI to expedite scripting, engineering development, and problem resolution

The focus is on practical AI usage that enhances engineer efficiency, streamlines workflows, and boosts system reliability.

Database Engineering Duties

Alongside AI initiatives, you will develop profound expertise managing a vast, well-established infrastructure that supports critical financial systems. Progression in this role includes mastering:

• Database administration, performance tuning, and troubleshooting
• SQL and PL/SQL performance analysis and optimization
• Monitoring database health, capacity management, and ensuring reliability
• Implementing backups, recovery procedures, and disaster preparedness
• Working with Linux and scripting for operational tasks
• Performing database upgrades, patching, and lifecycle management
• Automating repetitive operational workflows
• Analyzing database performance and operational telemetry
• Collaborating with application and infrastructure teams to resolve complex production issues

Candidate Profile

We are looking for candidates who demonstrate strong intellectual curiosity, analytical skills, and an engineering mindset eager to learn and surmount challenging problems. Essential attributes and skills include:

• Passion for databases and understanding behavior of complex systems
• Strong analytical and problem-solving capabilities
• Willingness to investigate issues thoroughly beyond surface explanations
• Some exposure to programming or scripting
• Basic knowledge of SQL or determination to develop this skill
• Interest in AI/LLMs and their tangible engineering applications
• Motivation to rapidly adapt in a technical and demanding atmosphere
• Effective communication skills and confidence in collaborating with seasoned engineers

Preferred Experience

• Experience or familiarity with Oracle or other enterprise database systems
• Linux environment exposure
• Proficiency or knowledge of Python or shell scripting
• Experience with cloud platforms
• Knowledge of infrastructure automation

Who Should Apply

This position is ideal for a high-potential graduate holding a degree in Computer Science, Engineering, Mathematics, or related field seeking to hedge deep database and production engineering knowledge leveraging AI and automation. Alternatively, early-career engineers with 1-3 years of experience in database or infrastructure fundamentals looking for advanced technical responsibilities are welcome.

Work Environment

You will operate within a refined, high-performance financial technology ecosystem where speed, system significance, and technical complexity are paramount. Collaboration with skilled engineers is expected, as well as quick learning, inquisitiveness, and gradual assumption of ownership.

This opportunity offers development of specialized database engineering skills, exposure to demanding production environments, and application of AI to practical operational challenges. Our goal is to cultivate an engineer who comprehensively understands databases and pioneers AI-enabled database engineering best practices.