Job Title: Staff Software Engineer – Python
Job ID: 87595
Location: Vancouver, BC – 3 days a week onsite
Overview
As a Staff Software Engineer on the AI team, you will serve as the technical anchor for our machine learning initiatives. While a Senior Developer focuses on shipping features, you will focus on the architectural integrity, scalability, and long-term vision of our AI-enabled product suite. You will bridge the gap between complex Data Science research and robust, production-grade engineering. You will act as a primary consultant to both the Architecture and Product teams, ensuring that our infrastructure for language detection, sentiment analysis, and machine translation is not just functional but world-class in terms of latency, cost-efficiency, and reliability.
What You’ll Do
- Architectural Steering: Lead the design and evolution of high-throughput ML inference pipelines. You will define how our microservices scale to meet the demands of tens of thousands of global users.
- MLOps Leadership: Own the "path to production" for machine learning models. You will design the frameworks that allow Data Scientists to deploy, monitor, and version models (MLflow/Kubernetes) with minimal friction.
- Engineering Excellence: Set the gold standard for Python development. You will introduce advanced patterns for asynchronous programming and multi-threaded processing to optimize NLP workloads.
- Cross-Functional Strategy: Partner with Product Owners and Data Scientists to evaluate the technical feasibility of new AI initiatives, ensuring business requirements align with system capabilities.
- Force Multiplier: Beyond standard mentoring, you will cultivate an engineering culture of rigor. You will lead deep-dive design reviews, drive the adoption of TDD at scale, and eliminate systemic technical debt.
Tech Stack & Environment
- Primary: Python (Expert), C++, Bash.
- AI/ML Infrastructure: MLflow, Model Serving (Triton/BentoML), Feature Stores.
- Orchestration & Cloud: OpenShift, Kubernetes, Docker.
- Communication: REST, JSON, Thrift, gRPC.
- Methodology: Agile, CI/CD, TDD, Microservices.
What You Must Have
- 12+ years of professional software development experience, with a heavy emphasis on shipping enterprise-grade backend systems.
- Mastery of Python: Deep expertise in the Python ecosystem, including performance profiling, memory management, and advanced concurrency (AsyncIO, multiprocessing).
- Distributed Systems Expert: Proven track record of designing and maintaining microservices architectures that support high-concurrency and high-availability requirements.
- Strategic Mentorship: Experience mentoring Senior-level engineers and influencing technical direction across multiple pods or teams.
Advanced Technical Skills
- Production AI Experience: Significant experience deploying and monitoring ML models in production environments; understanding the nuances of "Model Drift" and inference optimization.
- Infrastructure as Code: Deep familiarity with container orchestration (Kubernetes/OpenShift) and automating complex deployment lifecycles.
- High-Performance Computing: Ability to step into C++ or lower-level optimizations when Python hits a performance ceiling.
- Data Fluency: Strong grasp of data structures and algorithms specifically tailored for processing large-scale NLP datasets.
The “Staff” Edge (Preferred)
- Experience building or significantly scaling an internal ML Platform or MLOps toolset.
- Background in NLP-specific engineering challenges (e.g., tokenization at scale, vector database integration).
- History of driving "buy vs. build" analyses for critical infrastructure components.
Salary Range: $180-$200k CAD
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