Principal Python Engineer – Core Search Platform
Innovate. Create. Elevate.
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.
Experience
• Has 10+ years of Python engineering in production
• Understands CPython internals and performance trade-offs
• Has optimized systems around GIL, async I/O, multiprocessing
• Has built high-throughput services serving millions of users
• Has architected distributed systems end-to-end
• Can debug performance issues at memory and execution level
• Has operated at Staff or Principal level with architectural ownership
You don't just ship code.
You design systems that scale.
What You'll Actually Do
• 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
You may have:
• 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
About 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.
Apply Now
Apply Now
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.
Experience
• Has 10+ years of Python engineering in production
• Understands CPython internals and performance trade-offs
• Has optimized systems around GIL, async I/O, multiprocessing
• Has built high-throughput services serving millions of users
• Has architected distributed systems end-to-end
• Can debug performance issues at memory and execution level
• Has operated at Staff or Principal level with architectural ownership
You don't just ship code.
You design systems that scale.
What You'll Actually Do
• 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
You may have:
• 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
About 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.
Apply Now
Apply Now