Principal Database Engineer

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October 3

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Stax·ai

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SaaS • Finance • Productivity

Stax·ai is a company that specializes in optimizing retirement plan administration through cloud-based automation and workflow solutions. They aim to enhance efficiency, accuracy, and savings for third-party administrators (TPAs) by automating tedious tasks and focusing on improving client experiences. The company is built on the idea of rehumanizing industries overwhelmed by paperwork, providing seamless systems that protect operations from inefficiencies and errors. Their solutions aim to empower TPAs to scale efficiently while keeping data secure and productivity high, ultimately transforming how retirement plans are managed.

11 - 50 employees

☁️ SaaS

💸 Finance

⚡ Productivity

📋 Description

• Own the data platform: Design, implement, and evolve database systems (Aurora, RDS, Redshift, etc.) that meet performance, resiliency, and compliance requirements • Automate relentlessly: Build infrastructure-as-code, CI/CD pipelines for database changes, and self-service tooling for developers • Enable scalability: Architect solutions that support growth, high availability, and disaster recovery in a multi-account AWS environment • Champion observability: Implement monitoring, alerting, and performance tuning strategies to ensure proactive issue detection and resolution • Collaborate cross-functionally: Partner with application engineers, cloud engineers, and security to align database practices with organizational goals • Drive modernization: Lead the migration from legacy systems to cloud-first platforms, ensuring minimal disruption and long-term maintainability • Mentor and guide: Elevate the skills of the Database Engineering team, sharing best practices and setting technical standards

🎯 Requirements

• Proven experience as a Senior or Principal Database Engineer with expertise in multiple cloud-native databases (MySQL [Primary Focus], Oracle, SQL Server, PostgreSQL) • Strong hands-on skills with AWS data services (Aurora, Redshift, RDS, S3) • Deep understanding of database performance, query optimization, indexing, partitioning, and replication strategies • Strong background in automation and infrastructure-as-code (Terraform, CloudFormation, or CDK) • Proficiency in at least one of the following languages: TypeScript, Python, C#, or Go, with the ability to navigate existing codebases and build new tooling for deployment as standalone applications or serverless functions (e.g., AWS Lambda) • Experience with observability stacks (Datadog, CloudWatch, or similar) • Strong grasp of security, compliance, and cost optimization in cloud environments • Excellent collaboration and communication skills