Senior Python Engineer in Canada Creek, Nova Scotia at Jobgether
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Job Description
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Python Engineer in Canada.
This role sits at the forefront of AI-driven cybersecurity innovation, contributing to the development of scalable, cloud-native systems that power next-generation threat detection and response solutions. You will join a highly technical engineering environment focused on building and evolving AI-powered platforms that leverage generative AI, automation, and real-time intelligence. The position combines hands-on software engineering with architectural influence, allowing you to shape system design and technical strategy across multiple services. You will collaborate closely with product, DevOps, and research teams to deliver high-impact features used in mission-critical security products. The environment is fast-moving, innovation-driven, and centered on solving complex distributed system challenges at scale. This is an opportunity to work on advanced AI and cybersecurity problems while mentoring engineers and influencing technical direction.
- Design, build, and maintain scalable cloud-native microservices and REST APIs using Python, FastAPI, and modern backend frameworks.
- Develop and enhance AI-powered applications and supporting platforms enabling deployment, monitoring, and lifecycle management of intelligent services.
- Take full ownership of features and systems from architecture and design through deployment, monitoring, and ongoing optimization.
- Integrate and optimize data systems including PostgreSQL, Redis, and Elasticsearch to support high-performance, data-intensive workloads.
- Collaborate with cross-functional teams including product managers, DevOps, QA, and engineers to deliver secure, reliable, and scalable solutions.
- Contribute to system architecture and technical strategy across multiple services, ensuring long-term scalability and resilience.
- Provide technical mentorship and guidance to junior and mid-level engineers, promoting engineering excellence and best practices.
- Work with Kubernetes, CI/CD pipelines, and event-driven architectures to build robust distributed systems.
- 5+ years of professional software engineering experience with strong focus on backend systems and distributed architectures.
- Advanced proficiency in Python and experience with frameworks such as FastAPI or similar.
- Proven experience designing and building scalable microservices and RESTful APIs.
- Strong hands-on experience with cloud platforms such as AWS, including services like EKS, Lambda, S3, or similar.
- Solid understanding of containerization and orchestration tools such as Docker and Kubernetes.
- Experience with relational and NoSQL databases (PostgreSQL, Redis) and search technologies like Elasticsearch.
- Strong understanding of system design, debugging, and performance optimization in distributed environments.
- Experience mentoring engineers and contributing to technical leadership across teams.
- Familiarity with Agile/Scrum methodologies and modern software delivery practices.
- Exposure to Generative AI, LLMs, or AI agent frameworks is highly desirable.
- Strong communication skills and ability to collaborate across engineering, product, and research functions.
- Bachelor’s degree in Computer Science or equivalent practical experience.
- Competitive salary ranging from 125,000 to 209,000 CAD annually (based on experience and location)
- Bonus eligibility and comprehensive benefits package
- Remote-first work model with flexibility
- Opportunity to work on cutting-edge AI and cybersecurity technologies
- Exposure to large-scale distributed systems and advanced cloud-native architectures
- Strong focus on learning, experimentation, and technical innovation
- Collaborative, global engineering culture with strong mentorship opportunities
- Wellbeing initiatives, including wellness days, webinars, and fitness programs
- Inclusive environment that encourages diverse perspectives and continuous growth.