Senior Backend Engineer, Analytics Instrumentation (Golang)
Jobgether · Canada · $118K–$252K/yr
About the role
Lead the design and development of a unified data collection platform using Golang to enable data-driven product decisions. Collaborate with cross-functional teams to improve the quality of product usage and billing data across SaaS and self-managed environments.
What they look for
Requirements
Requires significant professional experience building production-grade backend or infrastructure systems with strong proficiency in Golang. Candidates must demonstrate the ability to make architectural decisions regarding scalability and reliability while mentoring other engineers.
Benefits
Full description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Backend Engineer, Analytics Instrumentation (Golang) based in Canada.
This role focuses on building the next generation of analytics instrumentation infrastructure that enables data-driven product decisions at scale. You will design and evolve backend platforms that collect, process, and deliver high-quality product usage data across complex environments. The position offers the opportunity to work on foundational systems that directly influence product strategy, customer insights, and operational excellence. You will collaborate with engineering, data, and product teams in a highly distributed environment where innovation and transparency are core values. As a senior technical contributor, you will drive architecture decisions, improve system reliability, and help shape engineering best practices. You will also mentor fellow engineers while contributing to scalable, privacy-conscious solutions that support better software development experiences.
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Accountabilities:
- Lead the design, development, and evolution of a unified data collection platform using Golang and modern cloud-native technologies, ensuring reliability, scalability, and broad adoption across engineering teams.
- Build and maintain backend systems that improve the collection, transmission, and quality of product usage and billing data across SaaS and self-managed environments.
- Drive technical decisions that balance platform usability, system performance, observability, data integrity, and long-term maintainability.
- Collaborate with engineering, product, analytics, and data teams to deliver shared solutions that support evidence-based decision-making.
- Provide technical guidance during operational incidents, including troubleshooting, root cause analysis, and service reliability improvements.
- Mentor other engineers through thoughtful code reviews, design discussions, documentation, and knowledge sharing to strengthen engineering practices and collaboration.
Requirements:
- Significant professional experience building and operating backend, platform, or infrastructure systems in production environments.
- Strong proficiency in Golang, with hands-on experience designing and maintaining production-grade services.
- Proven ability to develop scalable, reliable backend solutions that serve internal and external users.
- Experience making architectural decisions involving reliability, performance, observability, data quality, and system trade-offs.
- Familiarity with cloud-native technologies, distributed systems, and open-source development practices.
- Experience collaborating effectively across multiple teams and stakeholders, including product, engineering, and data organizations.
- Demonstrated ability to mentor engineers and contribute to clear technical direction through documentation and collaboration.
- Strong communication skills and the ability to thrive in a remote, highly collaborative environment.
Benefits:
- Competitive compensation package, including a base salary range of $117,600–$252,000 USD depending on experience, location, and level.
- Comprehensive benefits supporting health, financial security, and overall well-being.
- Flexible paid time off to support work-life balance.
- Equity compensation and employee stock purchase opportunities.
- Professional growth and development resources to support continuous learning.
- Parental leave benefits.
- Access to employee resource groups and inclusive workplace initiatives.
- Fully remote work environment with opportunities to collaborate with a global engineering community.
\nHow Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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