Senior Software Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer based in Canada.

• Translate high-level and sometimes ambiguous requirements into robust system designs, technical solutions, and production-ready implementations.
• Own features and systems throughout their complete lifecycle, from initial development and testing through production deployment, monitoring, and ongoing operations and maintenance.
• Design, build, tune, and operate high-throughput, low-latency services using C++, Go, and Python.
• Develop and optimize production-facing algorithms for tracking, inference, sensor fusion, and other real-time intelligence use cases.
• Use historic and simulated datasets to iterate, test, tune, and rigorously validate algorithms and system behavior before live deployment.
• Design and implement high-performance inter-application communication mechanisms and robust data interfaces for real-time data exchange.
• Optimize data structures, Protobuf serialization, Redis Streams, and related technologies for real-time processing workloads.
• Architect and manage data pipelines covering sensor ingestion, transformation, storage, processing, and downstream delivery.
• Build REST APIs and integrate internal and external services to support reliable platform functionality.
• Implement comprehensive observability across performance-critical applications, including monitoring, logging, alerting, and operational diagnostics.
• Deploy and operate containerized services on Kubernetes using technologies such as Argo and Helm within GCP environments.
• Develop and maintain technical documentation, system documentation, operational runbooks, and integration specifications.
• Collaborate effectively with technical and non-technical stakeholders and clearly communicate architectural decisions and trade-offs.
• Contribute to a high-trust engineering culture where initiative, experimentation, collaboration, and strong technical ideas are encouraged.

• 5+ years of professional software engineering experience, ideally as a versatile generalist with a strong backend and systems focus.
• Deep experience designing, building, tuning, and operating real-time systems.
• Strong proficiency in C++, with demonstrated experience implementing high-performance, low-latency algorithms in production environments.
• Proficiency in Python for prototyping, experimentation, numerical computing, or algorithm development.
• Demonstrated ability to use historic and simulated data to rapidly iterate on algorithms, validate system behavior, and improve production logic.
• Strong understanding of data interfaces, including inter-process communication, high-speed messaging protocols, and strict, reliable interfaces between applications.
• Deep knowledge of algorithms, data structures, and system internals, including the ability to reason about computational complexity, memory constraints, and behavior under load.
• Experience building and operating streaming data systems such as Redis Streams, Kafka, or comparable technologies.
• Experience with scientific and numerical Python libraries such as NumPy, SciPy, and Pandas.
• Experience with GCP or comparable cloud infrastructure and services.
• Strong knowledge of containerization technologies including Docker and Kubernetes.
• Experience with Infrastructure as Code and CI/CD tools such as Terraform, GitHub Actions, GitLab CI, or similar platforms.
• Comfortable working in Linux-based environments and using modern agentic or AI-assisted coding tools such as Claude Code, Cursor, or comparable solutions.
• Strong communication skills and the ability to explain complex technical concepts and architectural decisions to both technical and non-technical audiences.
• Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.
• Experience in transportation, robotics, autonomous vehicles, or other sensor-intensive domains is advantageous.
• Familiarity with Kalman filters, Bayesian methods, classical estimation techniques, and sensor fusion is a plus.
• Experience with GCP data products such as BigQuery, Cloud Storage, and Pub/Sub is beneficial.
• Familiarity with AI/ML workflows, feature stores, or model-serving infrastructure is an advantage.
• Knowledge of messaging and observability technologies such as nanomsg and OpenTelemetry is a plus.
• Experience with high-throughput data processing and integrated build systems such as Buck2 is beneficial.
• Previous experience working in an early-stage startup environment is advantageous.

• Competitive salary range of $150,000–$200,000 for the applicable remote position, with actual compensation determined by location.