Database Platform Engineer

Our Database Engineering team is transforming how Balyasny Asset Management delivers database services through a standardized platform providing declarative, code-defined provisioning, automated lifecycle management, and self-healing operations across multiple database technologies.

We're seeking a Database Platform Engineer to help design, build, and operate our Kubernetes-based Database-as-a-Service platform, creating scalable, automated solutions that minimize manual intervention while enforcing safety and consistency.

• Design and operate database workloads on Kubernetes, developing operators and custom resources for automated provisioning and lifecycle management
• Implement high-availability solutions and declarative management for multiple database technologies including Postgre
  
  SQL, SQL Server, Snowflake, Click House, and Redis
• Build data lakehouse solutions (Apache Iceberg) and implement query federation capabilities (Trino)
• Manage database schemas declaratively using tools like Flyway, Liquibase, or Atlas
• Develop Git Ops workflows and Kubernetes-native observability for comprehensive monitoring
• Create migration tools for transitioning from VMs and AWS managed services to our platform
• Build self-service interfaces and implement security controls within Kubernetes environments

• Strong experience with multiple database technologies (Postgre
  
  SQL, SQL Server, Snowflake, Click House, Redis, etc.)
• Hands-on experience with Kubernetes concepts (pods, deployments, statefulsets, operators)
• Experience with declarative management using infrastructure-as-code tools
• Proficiency in programming (Python, Go preferred) with Git Ops workflows and CI/CD pipelines
• Experience with Kubernetes-native monitoring and observability tools

• Experience operating stateful applications in Kubernetes production environments
• Knowledge of Kubernetes operators development and database-specific operators
• Experience with Snowflake administration, SQL Server automation, and schema migration tools
• Knowledge of data lakehouse technologies, Trino/Presto, and data replication solutions
• Experience with analytical databases like Click House and key-value stores like Redis
• Understanding of Kubernetes-native authentication and cloud-native development

• Platform-oriented thinking with cloud-native engineering mindset
• Full-stack capabilities from Kubernetes infrastructure to application interfaces
• Enthusiasm for transforming traditional database administration into modern approaches
• Adaptability and eagerness to learn new technologies and methodologies

• Shape the future of database services at a leading global investment firm
• Work with cutting-edge technologies in an innovation-focused environment
• Clear career development path with competitive compensation and benefits

We're looking for candidates who are passionate about building scalable, resilient database platforms and are excited about the challenge of transforming traditional database management into a modern, self-service model.

Mid-Senior level

Full-time

Engineering and Finance

New York, NY