Staff Software Engineer, IDSM

We are looking for an experienced Staff Software Engineer to help advance an enterprise platform for developing, deploying, and managing machine learning and AI solutions at scale. In this senior individual contributor role, you will design scalable backend systems and build capabilities that simplify the machine learning lifecycle, from model development and registration to deployment and monitoring. You will work closely with customers and cross-functional engineering teams to deliver reliable integrations with cloud-based machine learning platforms. Your work will also support improved resource discovery, model observability, and large language model (LLM) hosting. This opportunity is ideal for a technically strong engineer who enjoys solving complex distributed systems challenges and shaping architecture in a collaborative, innovation-driven environment. You will have meaningful ownership over platform capabilities that help organizations operationalize AI securely, efficiently, and reliably.

• At least 8 years of experience in software engineering, primarily in an individual contributor capacity.

• Strong knowledge of artificial intelligence and machine learning systems, including model development, training, optimization, deployment, and lifecycle management.

• Demonstrated experience designing, building, and maintaining scalable backend systems in distributed computing environments.

• Proficiency in designing and implementing secure, high-performance APIs, including RESTful APIs and/or gRPC.

• Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.

• Strong understanding of backend performance profiling, troubleshooting, and optimization in cloud-based or distributed environments.

• Familiarity with containerization and orchestration technologies such as Docker and Kubernetes.

• Experience implementing automated testing strategies, including unit, integration, and end-to-end tests, as well as maintaining CI/CD pipelines.

• Ability to collaborate effectively across engineering teams and integrate backend services with frontend applications and external systems.

• Strong analytical and problem-solving skills, with the ability to address complex technical challenges and deliver maintainable, reliable solutions.

• Excellent communication skills and the ability to work collaboratively with technical stakeholders and customers.

• A growth mindset, curiosity, and a willingness to learn, share knowledge, and continuously improve engineering practices.

• Experience with distributed computing frameworks such as Apache Spark, or machine learning platforms such as AWS SageMaker and Azure Machine Learning, is an advantage.

• Familiarity with model registries, model monitoring, enterprise MLOps, and LLM hosting infrastructure is beneficial.

• Ability to work remotely from Canada.