O pozici
Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.
We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.
In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing.
Co budeš dělat
- Take shared ownership of the health, performance, and scalability of our MySQL database environments.
- Identify and resolve performance bottlenecks through query optimisation, indexing strategies, and schema design improvements.
- Partner with Solution Architects, Product Owners, and Software Developers to design robust data models and enforce best practices for new features and services.
- Manage and optimise AWS RDS (MySQL) instances, including instance sizing, storage scaling, and high-availability configurations.
- Plan and execute database migrations and version upgrades with minimal disruption to live services.
- Analyse Java application workloads to improve database interaction efficiency, including connection pooling and ORM optimisation.
- Troubleshoot and resolve database and infrastructure issues within our cloud-based environment.
- Provide technical guidance on the selective adoption of NoSQL solutions, such as AWS DynamoDB, as our data architecture evolves.
Koho hledáme
- 5+ years' experience as a Database Engineer or similar role, with a primary focus on MySQL in production environments.
- Deep understanding of MySQL internals, including the InnoDB storage engine, locking mechanisms, and transaction management.
- Proven experience with advanced SQL tuning, query optimisation, and schema design for high-scale environments.
- Strong eperience managing AWS RDS (MySQL) at scale, including instance sizing, storage scaling, and high-availability configurations.
- Hands-on experience with AWS monitoring and diagnostic tools, such as CloudWatch and Performance Insights.
- Working knowledge of Java and experience troubleshooting database issues arising from frameworks such as Spring Boot, Hibernate, and JDBC.
- Ability to read application logs and APM data to correlate code level changes with database performance impacts.
- Exposure to, or a strong interest in, NoSQL solutions such as AWS DynamoDB for high throughput use cases.
- Excellent problem solving and communication skills, with the ability to consult effectively with both technical and nontechnical stakeholders.
