Requirements:

Strong experience with relational database platforms, such as PostgreSQL, MSSQL Server, MySQL, CockroachDB or similar
Good understanding of database internals, including query execution, concurrency, replication, indexing, and partitioning
Hands-on experience running databases at scale
Strong proficiency with Linux and Python for automation
Familiarity with infrastructure as code, including Terraform, Ansible, Jenkins, Dagger, ArgoCD or similar
Experience deploying and running services in containerized or Kubernetes environments
Understanding of AWS services relevant to data platforms, such as RDS, Aurora, S3, EC2, or EKS
Familiarity with modern observability stacks, such as Prometheus, Grafana, Elk, or OTel

Nice to Haves:

Experience with cloud-native and distributed SQL database, such as Aurora, YugabyteDB or TiDB
Knowledge of data streaming and integration tools, including Kafka, Debezium, and CDC pipelines
Experience with security and compliance in database environments, for example covering encryption, auditing, and RBAC
Familiarity with DataOps practices and collaboration with Data Engineering teams

Building, operating, and scaling distributed database services across on-premises and AWS environments
Supporting large-scale deployments of PostgreSQL, Microsoft SQL Server, MySQL, and CockroachDB, ensuring high availability, disaster recovery, and performance
Contributing to the design and implementation of automation for database provisioning, upgrades, replication, and monitoring using Python, Ansible, and Terraform
Driving improvements in performance tuning, query optimization, indexing strategies, and storage design
Collaborating with application and research teams to design and deliver database solutions that meet demanding scalability and latency requirements