Job Description
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