Lead Software Engineer, TimescaleDB Enterprise

New
T
Tiger DataData Infrastructure
Fully remote opportunities globally, overlap with North America and Europe is strongly preferredFull-TimeLead
Salary not disclosed
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Job Details

Required Skills
AWSDockerPostgreSQLPythonKubernetesGoDistributed Systems

Requirements

  • Experience building developer platforms, enterprise software, infrastructure products, operational tooling, or database-adjacent systems.
  • Comfort working across multiple layers of a system, from backend services to operational workflows and user-facing tooling.
  • Strong familiarity and proficiency with AI coding tools.
  • Strong product intuition and ability to translate vague customer pain points into pragmatic, high-impact solutions.
  • Ability to make thoughtful decisions with incomplete information.
  • Experience working directly with enterprise customers or highly technical users.
  • Ability to thrive in fast-moving startup environments.
  • Strong communication skills and high autonomy.

Responsibilities

  • Leading the design and development of TimescaleDB Enterprise, our on-prem deployment and management platform for TimescaleDB.
  • Building and evolving core product capabilities, including management consoles, deployment workflows, operational tooling, configuration management, and customer administration experiences.
  • Owning technical decisions across the product lifecycle, balancing speed, scalability, maintainability, and customer experience.
  • Working directly with enterprise customers and prospects to understand operational requirements and translate them into pragmatic product solutions.
  • Driving new feature development while continuously improving reliability, usability, and operational simplicity.
  • Partnering closely with Platform Engineering and cross-functional stakeholders across Product, Support, and Sales Engineering.
  • Helping shape the long-term product and technical direction of the Enterprise platform.
  • Operating effectively in ambiguous environments.
  • Leveraging AI tools daily to accelerate development, debugging, documentation, and product iteration workflows.
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