As a Senior DBRE, you are the guardian of our data’s performance, availability, and scalability. You aren't just managing instances; you are automating the entire lifecycle of our data platform. We are looking for an engineer who is eager to explore how AI-driven automation and MCP (Model Context Protocol) integrations can take our operations to the next level—from predictive scaling to streamlining incident response. From managing mission-critical SQL Server and Postgres to provisioning via Terraform, Docker, and Kubernetes, you will be the backbone of our data reliability strategy.
Responsibilities
Automation Evolution: Proactively explore and implement AI tools, LLM integrations, and MCP (Model Context Protocol) to reduce routine database toil, optimize query performance, and accelerate incident resolution. We want a creative mind to help evolve our operational duties.
Modern Data Stack: Support our data warehouse ecosystem by optimizing Snowflake performance, including application packaging and testing.
Performance Engineering: Own the deep-level optimization of MSSQL (crucial for on-call stability) and PostgreSQL at the server, database, and query levels.
Infrastructure as Code (IaC) & Orchestration: Automate all data infrastructure using Terraform, AWS, Docker, and Kubernetes. You will manage containerized data services and stateful workloads.
CI/CD & Release Management: Manage and optimize deployment pipelines using GitLab and Octopus Deploy, ensuring safe, repeatable database schema changes.
Documentation & Knowledge Sharing: Create technical documentation, including runbooks, "how-to" guides for developer self-service, and clear architectural diagrams.
On-Call & Triage: Serve as the subject matter expert for SQL Server, Postgres, and Snowflake in a 24/7/365 on-call rotation.
Qualifications
DBA Fundamentals: 8+ years of experience maintaining and optimizing high-traffic production databases, specifically Microsoft SQL Server, PostgreSQL
Expert knowledge in Snowflake.
DevOps Expertise: Professional experience with Terraform, AWS, GitLab, and Octopus Deploy.
Containerization & Orchestration: Expert-level knowledge of Docker and production experience running stateful applications within Kubernetes (K8s).
AI & Integration: Knowledge of MCP (Model Context Protocol) and experience using LLMs to assist in coding or system automation.
Scripting & Programming: Expert-level Python and PowerShell skills. Familiarity with C# and object-oriented programming (OOP).ORM Optimization: Expert in tuning queries generated from ORMs (Entity Framework, Dapper, etc.).
The Data Stack: Hands-on experience with Snowflake (packaging/testing) and DynamoDB.
Familiarity with OpenSearch, Redis and DynamoDB.
Education: B.S./M.S. in Computer Science, Information Systems, or equivalent direct work experience.
