Salary :
Activate JobCopilot
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Search Engineer based in Canada.
This role sits at the core of a high-scale search and discovery platform that powers creator intelligence across millions of profiles and billions of data points. You will be responsible for designing and evolving real-time search systems that enable fast, relevant, and reliable creator discovery at global scale. The position blends deep backend engineering with distributed systems architecture, focusing heavily on search performance, scalability, and resilience. You will work on Elasticsearch-based infrastructure and high-throughput APIs that support complex query workloads. The environment is highly collaborative, working closely with product, architecture, and engineering teams to shape system design decisions. This is a hands-on technical leadership role where your contributions directly impact platform performance and user experience. It is ideal for someone passionate about large-scale search systems and modern cloud infrastructure.
Accountabilities:
- Design, build, and maintain large-scale search infrastructure powered by Elasticsearch, ensuring high performance, scalability, and reliability across millions of records and queries.
- Develop and optimize backend services and APIs (primarily in Go) to support real-time search and creator discovery experiences.
- Contribute to full product lifecycle development, from architecture design and implementation to deployment, monitoring, and continuous optimization.
- Collaborate with product managers, engineers, and architects to translate business and user needs into robust technical solutions.
- Participate in architecture discussions, code reviews, and engineering best practices to ensure high-quality, maintainable systems.
- Improve system resilience and performance across distributed cloud environments using AWS services and modern observability tools.
- Mentor and support engineering peers while contributing to a strong culture of ownership and technical excellence.
Requirements:
- 7–10+ years of software engineering experience with a strong foundation in computer science and distributed systems.
- 3+ years of hands-on experience with Elasticsearch or similar search technologies in high-scale environments.
- Strong backend development experience, particularly in Go, with additional proficiency in Java, Python, Node.js, or similar languages.
- Deep understanding of search systems, indexing strategies, query optimization, and high-load service architecture.
- Experience designing and operating cloud-based systems, preferably on AWS, including services like SQS, Lambda, and CloudWatch.
- Strong knowledge of databases (SQL and NoSQL), APIs (REST), and software engineering best practices including testing and CI/CD.
- Ability to work in complex, distributed environments and communicate effectively within international engineering teams.
- Experience with containerization, orchestration (e.g., Kubernetes), and modern DevOps practices is a plus.
- Nice to have: exposure to frameworks such as Laravel or Symfony, or experience in large-scale SaaS platforms.
Benefits:
- Competitive compensation ranging from CA$132,000 to CA$165,000, plus equity.
- Comprehensive health benefits including medical, dental, vision, life, and disability coverage.
- Flexible remote-first work environment supporting work-life balance.
- Home office stipend and additional allowances to support remote work setup.
- Wellness, vacation, floating holidays, and parental leave programs.
- Learning and development resources to support continuous technical growth.
- Collaborative, high-performing engineering culture with strong focus on ownership and innovation.
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