Principal Platform Systems Engineer

2 weeks, 6 days ago
Full-time
Lead
DevOps and Infrastructure
WISEcode

WISEcode

WISEcode is a company that offers precision nutrition data using cutting-edge artificial intelligence and state-of-the-art lab testing. They help organizations connect with customers and their unique health and wellness needs. WISEcode is dedicated to ...

Internet Software & Services
11-50
Founded 2021

Description

  • Own architecture for core data systems, including Postgres, lakehouse layers, computation pipelines, and semantic models.
  • Lead solution design for high-complexity, data-intensive initiatives and deliver production-ready implementations when needed.
  • Define data contracts, abstractions, and platform standards that enable multiple teams to build safely and independently.
  • Diagnose and resolve issues across data ingestion, storage, computation, and consumption layers.
  • Guide schema evolution, performance optimization, data correctness, reliability, and security considerations.
  • Mentor senior engineers and elevate engineering culture through clarity, documentation, and principled design.
  • Partner closely with product, CTO, AI/ML, and engineering teams to shape roadmap feasibility and long-term platform direction.
  • Apply AI and analytics concepts in ways that are explainable, auditable, and grounded in well-defined data semantics.

Requirements

  • BSCS or equivalent engineering degree.
  • 12+ years of strong professional development experience.
  • Demonstrated ownership of large-scale data platforms or systems with long-term architectural, performance, and evolution responsibility.
  • Deep expertise with Postgres, data modeling, schema design, query optimization, and data-intensive systems.
  • Experience designing and evolving distributed systems and computation pipelines beyond their original requirements.
  • Track record of technical leadership, mentoring, and cross-team influence as an individual contributor.
  • Ability to operate independently, set direction, and drive execution in ambiguous or under-specified contexts.
  • Broad systems thinking with depth in data, computation, and platform architecture.
  • Experience supporting AI or ML systems through data design, quality, and infrastructure; direct model training experience is not required.
  • Startup mindset with adaptability, urgency, pragmatism, and comfort shifting between experimentation and production delivery.

Benefits

  • Remote full-time position.
  • Competitive compensation.
  • Benefits package.
  • Opportunities for rapid growth and leadership.
  • Work directly with the founder and CTO in a fast-moving, mission-driven environment.

Interested in this position?

Apply directly on the company website

Apply Now

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