Staff Software Engineer AI-Native, International in Canada Creek, Nova Scotia at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Software Engineer AI-Native, International in Canada.

This is a senior, high-impact engineering role focused on building globally scalable, AI-augmented systems that power international user experiences across large consumer platforms. You will play a key role in designing and delivering backend services that support millions of users across diverse markets, ensuring products are localized, resilient, and performant at global scale. Embedded within an AI-native engineering organization, you will not only build services but also help redefine how modern software is engineered through AI-driven workflows. This role combines deep backend expertise with advanced use of AI tools to accelerate development, improve quality, and shape engineering culture. You will collaborate closely with product, design, and platform teams while influencing architecture and technical direction. The environment is fast-moving, experimental, and highly collaborative, with a strong emphasis on innovation and continuous improvement.

In this role, you will be responsible for designing, building, and evolving high-quality backend systems that support international expansion and large-scale user engagement.

• Design and develop scalable backend services and APIs supporting international user experiences across multiple regions.
• Build and optimize systems using modern cloud-native architectures with a strong focus on reliability, performance, and observability.
• Apply internationalization and localization best practices to ensure seamless product experiences across global markets.
• Leverage AI tools as core development partners for coding, testing, refactoring, and system design.
• Define and evolve AI-native engineering workflows, contributing to internal playbooks and best practices.
• Participate in architectural decisions, code reviews, and system design discussions across cross-functional teams.
• Collaborate with product and design teams to translate complex requirements into scalable technical solutions.
• Contribute to on-call rotations and incident response, ensuring system stability and reliability.
• Mentor engineers and help raise technical standards across the team, particularly around AI-enabled development practices.
• Continuously improve engineering velocity, quality, and delivery through automation and AI-driven approaches.

This role requires extensive backend engineering experience combined with strong familiarity in AI-assisted development and modern distributed systems.

• 8+ years of experience building and operating large-scale consumer or distributed systems.
• 1+ years of hands-on experience working with LLMs, AI coding tools, or agentic workflows in production environments.
• Strong backend engineering expertise, particularly with Java, Spring Boot, microservices, and cloud-native systems.
• Experience with AWS, Kubernetes, and event-driven architectures (e.g., Kafka or similar streaming technologies).
• Deep understanding of AI-native development practices, including prompt engineering and context management.
• Proven ability to use AI tools as core productivity multipliers rather than simple assistants.
• Strong system design, debugging, and architectural decision-making skills.
• Excellent collaboration and communication skills in cross-functional environments.
• Experience building globally distributed or internationalized products is highly valued.
• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

• Competitive compensation with salary range in Canada: CAD 237,500 – 280,500 (base + bonus structure depending on role level and experience)
• Equity participation as part of the total compensation package
• Comprehensive health, dental, and vision coverage (with enhanced plans for Canadian employees)
• Retirement savings plans (RRSP with employer matching for Canada)
• Flexible PTO plus 12 company-wide paid days off annually
• Fully remote-first work environment across Canada and the US
• Learning and development programs to support continuous growth
• Equipment, tools, and remote work reimbursement support
• Employee Assistance Program (EAP) for mental health and wellness support
• Free premium membership benefits for product ecosystem usage