At Leap Tools, we are building the world's most advanced solutions for the interior décor industry. With customers in 80+ countries, our clientele includes Fortune 500 companies such as Home Depot, local retailers such as Alexanian's, and everything in between. We have been recognized as one of the fastest-growing tech companies by Deloitte for multiple years in a row, and we are looking for ambitious challenge-seekers to fuel our momentum and help us create an iconic global tech company.

Imagine you want to redesign your home and have been searching for new tiles for your kitchen, or a new rug for your living room. Simply upload a picture of your room using your mobile phone, and slide the rug under your coffee table: You enjoy setting the bar high and clearing it. Your technical knowledge is matched only by your passion to design, create, and succeed with others.

You are comfortable working deep in complex data and distributed systems. You enjoy reasoning about throughput, latency, reliability, bottlenecks, failure modes, and large-scale data movement. Python, Django, Kubernetes, PostgreSQL, AWS Drive the architecture and evolution of the ETL and data processing systems that ingest customer product catalogs into Leap Tools' internal product catalog platform.

Design systems capable of reliably processing large and highly variable datasets from thousands of customers, dealing with complex schemas, transformations, validation rules, dependencies, and imperfect source data. Identify and eliminate performance bottlenecks across data ingestion, transformation, persistence, indexing, and retrieval, continually improving throughput and end-to-end processing latency.



Help evolve the architecture of one of the most complex and foundational areas of the Leap Tools platform as our product catalog continues to grow in size and complexity.

Partner with product and engineering leadership to define technical direction, identify foundational investments, and plan for scale and performance. Serve as a force multiplier by mentoring senior engineers, conducting architecture reviews, and enabling high-quality, high-velocity development across teams. Champion engineering excellence and set the technical bar for backend systems in terms of scalability, resiliency, observability, and maintainability.

Help shape the long-term technical vision and culture of the engineering organization. 8+ years of software development experience building and operating scalable, reliable systems in production environments. ~ Robust experience designing and operating complex ETL pipelines, data processing platforms, or other high-throughput data-intensive systems. ~ Experience with performance engineering: profiling complex systems, identifying bottlenecks, understanding resource utilization, and materially improving throughput and latency. ~ Experience working with large datasets and designing efficient approaches to transformation, persistence, indexing, and retrieval. ~ Deep understanding of computer science fundamentals, including algorithms, data structures, networking,



and databases. ~ Proven experience designing and scaling distributed systems with a focus on performance, observability, reliability, and fault tolerance. ~ Strong architectural instincts and the ability to make high-leverage technical decisions that impact multiple teams and systems. ~ Demonstrated ability to influence and mentor senior engineers, guide teams through ambiguity, and elevate engineering practices across the board. ~ Experience with data engineering, data ingestion platforms, product catalogues, e-commerce data, search systems, or similar domains is strongly preferred. ~ Familiarity with our stack (Python, Django, Kubernetes, PostgreSQL, OpenSearch, AWS) is strongly preferred, but deep expertise in analogous systems and a willingness to learn are welcome. We're a remote-first company that encourages our employees to work from where they're most productive. We value families, by offering a parental leave program We offer a work-from-home stipend Three rounds of technical assessment.

AI in Recruitment At Leap Tools, we leverage AI technology to enhance our recruitment process. These tools assist with tasks such as resume screening, sourcing prospective candidates, and to support administrative tasks for enhanced operational efficiency. Founders and senior leadership are directly involved in our recruitment process, and AI is never used to make the final hiring decision.

We are committed to the responsible use of AI in our hiring practices. This is a net new position on the team. Accommodations are available on request for candidates taking part in all aspects of the interview process.

📌 Staff Software Backend Engineer - Remote (Edmonton)
🏢 Leap Tools
📍 Edmonton