Job Summary
We are seeking a Senior Database Engineer to design, scale, and operate mission-critical data platforms supporting Lucid’s enterprise and consumer applications. You will be responsible for data reliability, performance, security, and scalability while partnering closely with backend, platform, analytics, and US-based engineering teams. This role requires strong ownership of database architecture and operational excellence in high-scale, cloud-native environments.
Your work profile:
- Own end-to-end database design, development, performance tuning, deployment, and
operational support
- Design scalable data models for transactional, analytical, and hybrid workloads
- Proactively identify performance bottlenecks, analyze query behavior, and implement
optimizations
- Define backup, recovery, disaster recovery, and high-availability strategies
- Ensure data integrity, consistency, and security across systems
- Embed reliability engineering practices (SLIs, SLOs, monitoring, alerting) into data platforms
- Drive database standards, best practices, and design reviews across teams
- Collaborate with backend, infrastructure, and data engineering teams on system design
- Leverage automation and Infrastructure-as-Code for database provisioning and maintenance
- Use GenAI-assisted workflows to analyze schemas, queries, and operational patterns
- Mentor junior engineers and act as a technical leader for database-related initiatives
- Collaborate effectively with US teams across time zones
Key skills required:
Basic Qualifications
- Bachelor’s degree (or equivalent work experience) with 8–10 years of relevant experience
- Master’s degree (or equivalent work experience) with 7–8 years of relevant experience
Preferred Skills / Experience
- Deep expertise in PostgreSQL, MySQL, Oracle, or SQL Server
- Strong experience with NoSQL databases (DynamoDB, MongoDB, Cassandra, etc.)
- Hands-on experience with AWS-managed databases (RDS, Aurora, DynamoDB, Redshift)
- Proven experience with performance tuning, indexing strategies, query optimization
- Experience designing high-availability, multi-region, and disaster recovery solutions
- Knowledge of data security, encryption, and compliance requirements
- Familiarity with Kubernetes, Docker, and cloud-native architectures
- Experience supporting microservices and event-driven systems
- Strong understanding of transactional vs analytical workloads
- Experience with DevOps practices, CI/CD, and automation pipelines
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