Senior Professional Services

Key ResponsibilitiesEnd-to-End Delivery: Lead the technical implementation, from pre-deployment architecture planning and capacity assessment to production cutover and migration validation.Architectural Advisory: Design high-availability, scalable database architectures that align with customer business requirements and technical standards (On-premises or Cloud environments).Performance Engineering: Partner with customer engineering teams to ensure their databases run at peak efficiency, ensuring a smooth and responsive experience for end-users.Technical Enablement: Develop and deliver customized technical workshops, whitepapers, and operational best practices to empower customer core DBA and engineering teams.Crisis Management & Customer Advocacy: Act as the technical lead during production incidents, performing root cause analysis (RCA) and post-mortem reviews. Serve as the "voice of the customer" to provide actionable feedback to our Engineering and Product teams.Qualifications：Bachelor’s degree in Computer Science or equivalent field.5+ years of experience in Database Administration (DBA), Backend Engineering, or Infrastructure Consulting.Advanced SQL expertise and deep understanding of query optimizers and storage engine internals.Strong Linux systems engineering background (performance profiling for CPU, Memory, Disk I/O, and Network).Experience with multi-cloud or hybrid-cloud database architectures (AWS, GCP, Azure).Exceptional verbal and written communication skills in English, with the ability to articulate complex technical architectures to both executive stakeholders and engineering teams.Consultative mindset with the ability to translate complex distributed systems concepts into clear business value for stakeholders.Calm and methodical problem-solving skills under high-pressure production outage scenarios.Proficient in producing professional technical assessment reports and project deliverables.Preferred Qualifications：Experience of delivering distributed systems (e.g., TiDB, CockroachDB, Spanner, MongoDB, Cassandra) into enterprise production environments.Hands-on experience migrating large-scale workloads from legacy RDBMS (Oracle, MySQL, SQL Server) to distributed databases.Active contribution to open-source database communities.Proficiency in Kubernetes (K8s) and cloud-native database management (Helm, Operators).