Lead Database Engineer – AWS, MySQL
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Job Description
Lead Database Engineer managing MySQL/MariaDB on AWS RDS at Toku, enhancing cloud communications solutions. Focus on database operations, performance, and collaboration with data engineering teams.
Responsibilities:
- Own the design, operation, and continuous improvement of Toku’s production databases, primarily MySQL/MariaDB on AWS RDS and Aurora, ensuring reliability, scalability, and performance.
- Design, implement, test, and operate HA and DR architectures, taking responsibility for resilience planning.
- Diagnose and resolve performance issues, guide developers on query design, indexing, and application–database alignment.
- Drive automation of database operations and workflows using Python and scripting.
- Contribute to and support internal data pipelines and warehouse workflows, working closely with data engineering peers.
- Proactively monitor database and pipeline health, take ownership during incidents, and implement preventative improvements.
- Apply compliant database practices including access control, data protection, and masking, aligned with regulations such as GDPR and HIPAA.
- Work closely with product engineering, infrastructure, and security teams to support internal platforms and evolving application needs.
- Mentor junior engineers, share best practices, and act as an internal advocate for modern, cloud-native database engineering.
- Participate in a rota-based on-call schedule providing after-hours and weekend support when required.
Requirements:
- Strong hands-on experience with MySQL or MariaDB in production environments, particularly on AWS RDS/Aurora.
- 5+ years in database engineering / DBA roles, with ownership of production systems in a SaaS or fast-moving environment.
- Practical experience operating cloud-managed databases on AWS; AWS database certifications are strongly preferred.
- Proven experience designing and operating HA/DR database architectures.
- Hands-on Python scripting for database automation, tooling, and operational efficiency.
- Experience working with data pipelines and modern data platforms such as Databricks, or the ability to contribute effectively in this space.
- Strong capability in query tuning, indexing strategies, and diagnosing complex production issues.
- Working knowledge of data protection and compliance concepts (e.g. GDPR, HIPAA), with the ability to apply them in practice.
- Experience working in Linux environments; familiarity with Windows Server is beneficial.
- Postgres experience is a bonus; MongoDB awareness is sufficient.
- Ability to guide developers, mentor peers, and influence technical direction through hands-on contribution.
Benefits:
- Discretionary Yearly Bonus & Salary Review
- Healthcare Coverage based on location
- 20 days Paid Annual Leave (excluding Bank holidays)
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