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Ontrac Solutions logo
Ontrac Solutions

Ontrac Solutions partners with enterprise platforms and high-growth organizations to deliver Cloud, AI, and Digital Product Engineering at scale. We operate at the intersection of: Control Clarity Velocity Institutional Trust If you are a Principal engineer who thrives in performance-critical environments and wants to build infrastructure that matters — we should talk.

Principal Python Engineer

Backend EngineerSoftware EngineerOtherRemoteTeam 11-50

Location

United States

Posted

90 days ago

Salary

0

Job Description

Principal Python Engineer

Ontrac Solutions

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description At Ontrac Solutions, we partner with elite engineering organizations to build systems that operate at planetary scale. Our client, a founding search company, is evolving the foundation of its core search platform — and we are looking for a Principal Python Engineer who does not just use Python… but understands it at its core execution model. This is not a feature role. This is not application engineering. This is infrastructure that shapes user experience at massive scale. The Mandate - Design and optimize the Python systems that power: - Global indexing pipelines - Real-time search services - Ranking and relevance models - High-QPS distributed APIs - ML-integrated search architecture You will operate where performance, scale, and precision intersect. The Environment You'll Influence - You'll work alongside teams leveraging: - Apache Lucene - Elasticsearch - Apache Solr - Apache Kafka - Hadoop - TensorFlow - PyTorch This is distributed systems engineering at scale. Latency matters. Throughput matters. Architecture matters. Qualifications - 10+ years of Python engineering in production - Understands CPython internals and performance trade-offs - Optimized systems around GIL, async I/O, multiprocessing - Built high-throughput services serving millions of users - Architected distributed systems end-to-end - Debugged performance issues at memory and execution level - Operated at Staff or Principal level with architectural ownership Requirements - Architect low-latency Python services supporting core search - Optimize indexing and ranking pipelines - Improve query response times at scale - Design concurrency strategies for performance-critical systems - Influence system-level architectural decisions - Mentor senior engineers and elevate technical standards - Bridge ML-driven ranking systems with production-grade infrastructure The Impact Your work will: - Directly influence millions of search queries - Reduce latency across global systems - Increase relevance accuracy - Improve infrastructure resiliency - Shape the evolution of Yahoo's search architecture This is high-visibility, high-impact engineering. What Makes This Opportunity Different Through Ontrac Solutions, you're not just stepping into a contract role. You're joining a performance-driven engineering ecosystem. We operate with: - Enterprise precision - Architectural rigor - Clear executive alignment - Outcome-driven delivery We partner with organizations where technical excellence is not optional — it's foundational. Ideal Background - Built large-scale search platforms - Worked on marketplace or ad-tech systems - Led distributed systems architecture - Contributed to open-source Python libraries - Operated in environments where uptime > 99.9% is mandatory - Experience in relevance engineering, information retrieval theory, or ML-driven search pipelines is highly valued. Why This Role Is Elite This is not CRUD engineering. This is not startup experimentation. This is not maintenance work. This is: - Distributed systems at scale - Performance-critical Python engineering - Search infrastructure modernization - Architecture with real global impact

Job Requirements

  • 10+ years of Python engineering in production
  • Understands CPython internals and performance trade-offs
  • Optimized systems around GIL, async I/O, multiprocessing
  • Built high-throughput services serving millions of users
  • Architected distributed systems end-to-end
  • Debugged performance issues at memory and execution level
  • Operated at Staff or Principal level with architectural ownership
  • Architect low-latency Python services supporting core search
  • Optimize indexing and ranking pipelines
  • Improve query response times at scale
  • Design concurrency strategies for performance-critical systems
  • Influence system-level architectural decisions
  • Mentor senior engineers and elevate technical standards
  • Bridge ML-driven ranking systems with production-grade infrastructure
  • The Impact
  • Your work will:
  • Directly influence millions of search queries
  • Reduce latency across global systems
  • Increase relevance accuracy
  • Improve infrastructure resiliency
  • Shape the evolution of Yahoo's search architecture
  • This is high-visibility, high-impact engineering.
  • What Makes This Opportunity Different
  • Through Ontrac Solutions, you're not just stepping into a contract role. You're joining a performance-driven engineering ecosystem. We operate with:
  • Enterprise precision
  • Architectural rigor
  • Clear executive alignment
  • Outcome-driven delivery
  • We partner with organizations where technical excellence is not optional — it's foundational.
  • Ideal Background
  • Built large-scale search platforms
  • Worked on marketplace or ad-tech systems
  • Led distributed systems architecture
  • Contributed to open-source Python libraries
  • Operated in environments where uptime > 99.9% is mandatory
  • Experience in relevance engineering, information retrieval theory, or ML-driven search pipelines is highly valued.
  • Why This Role Is Elite
  • This is not CRUD engineering. This is not startup experimentation. This is not maintenance work. This is:
  • Distributed systems at scale
  • Performance-critical Python engineering
  • Search infrastructure modernization
  • Architecture with real global impact

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