Senior Database Reliability Engineer

• →Lead large-scale database migration projects driven by company acquisitions, client onboarding, and platform growth—planning for minimal downtime, strong rollback strategies, and zero data loss.
• →Design and execute deployment strategies for blue/green rollouts, data archiving, and partitioning across relational, key-value, and document data stores.
• →Use AI-powered automation to strengthen our data platform across our quality pillars: operational excellence, security and compliance, performance and scalability, and resiliency and capacity planning.
• →Apply AI-assisted development tools and spec-driven workflows to design, automate, and ship database platform changes faster—Terraform modules, runbooks, diagnostics, and operational tooling—with clear acceptance criteria and high code quality.
• →Partner with the Data Insights team on lakehouse enablement (e.g., Databricks, Apache Iceberg, Unity Catalog)—bridging transactional data stores and analytics infrastructure through reliable access patterns, security/governance alignment, and safe onboarding of workloads onto the lakehouse.
• →Guide engineers in delivering fit-for-purpose database solutions across relational (MySQL, PostgreSQL, SQL Server), key-value (Redis), document (MongoDB), and search (Elasticsearch).
• →Maintain a strong culture of documentation by developing and sharing high-quality knowledge resources for engineers and AI-assisted workflows.
• →Participate in incident response and on-call rotation to maintain data infrastructure health.

• Strong understanding of AI-assisted development workflows, with proven hands-on experience using tools such as Cursor, Claude, to improve efficiency, automation, and code quality.
• 5+ years of hands-on experience running and operating MySQL and/or PostgreSQL in large-scale production environments, with deep knowledge of database internals
• 2+ years of hands-on experience with NoSQL—one of MongoDB, Redis, or Elasticsearch.
• 2+ years of experience with AWS cloud services.
• Strong expertise in Infrastructure as Code (IaC), with a primary focus on Terraform.
• Strong preferred exposure to lakehouse and analytics infrastructure (e.g., Databricks, Apache Iceberg, Unity Catalog) with an interest in collaborating with Data Insights on lakehouse enablement.
• Excellent analytical and problem-solving abilities.
• Strong communication skills for explaining complex technical topics to peers and non-technical stakeholders.
• Experience working in a distributed team.

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