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Senior Database Reliability Engineer

Filevine
Remote, USA
Full-time
Senior · 8+ years experience
Remote
USD 145000-180000 yearly / year
Discovered 1 months ago
SQL ServerPostgreSQLSnowflakeTerraformAWSGitLab

Full Job Posting

  • 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.
  • Capacity Planning & Cost Optimization: Forecast resource utilization across platforms. Identify cost-saving opportunities, optimize Snowflake credit usage, and right-size AWS infrastructure.
  • 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.
  • 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.

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