Sr. Software Engineer - Platform

New

JobgetherEnterprise AI

CanadaFull-TimeSenior

SalaryCompetitive base salary ranging from $189,000 to $231,000 USD, plus equity opportunities.

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Job Details

Deep proficiency in Go with experience building production-grade backend or platform systems.
Proven experience designing, developing, and operating complete systems from architecture through production.
Strong understanding of Kubernetes and container technologies, including operators, networking, and production environments.
Experience building reliable, observable systems with monitoring, testing, and operational excellence in mind.
Experience developing platform services such as gateways, registries, runtimes, deployment tooling, or similar infrastructure components.
Demonstrated technical leadership experience, including mentoring engineers and improving engineering practices.
Ability to clearly communicate complex technical concepts to both technical and non-technical audiences.
Strong problem-solving skills and the ability to make thoughtful engineering decisions in ambiguous situations.
Experience working with cloud-native technologies and modern software development practices.
Startup mindset with the ability to work independently, move quickly, and create clarity in evolving environments.

Design, build, and maintain platform subsystems from technical design through production deployment and continuous improvement.
Develop production-grade backend and infrastructure services with strong focus on reliability, scalability, observability, and maintainability.
Own meaningful engineering projects, making architectural tradeoffs that balance performance, security, reliability, and delivery timelines.
Create technical documentation, design proposals, and implementation plans to support effective collaboration.
Build and improve systems involving cloud-native technologies, Kubernetes environments, container platforms, and platform services.
Contribute to open-source projects and collaborate with external developer communities.
Mentor software engineers, support code review practices, and help improve overall engineering quality.
Partner with engineering leadership, product teams, and technical stakeholders to influence technical direction.
Incorporate AI-assisted development practices to improve engineering efficiency while maintaining high-quality standards.

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