Staff Software Engineer – Backend (Python Typescript Big Data AWS Kubernetes)

• Innovate with Purpose: Build impactful solutions for customers worldwide.
• Join Excellence: Work in a diverse collaborative and innovative team.
• Shape the Future: Lead in redefining revenue optimization.
• Grow Together: Unlock your potential in a supportive environment.

Our ELT (Extract Load Transform) application simplifies data workflows enabling organizations to extract insights faster automate repetitive tasks and unlock the true potential of their data.

We are looking for a Staff Software Engineer with deep experience designing and scaling large-scale data-intensive systems. This role requires hands-on expertise working with massive datasets distributed data pipelines and high-throughput backend architectures. You will play a key role in driving our backend services data platforms and cloud-native systems forward.

• Design build and scale new features for REST APIs and large-scale data processing pipelines that handle high-volume datasets across distributed systems.
• Architect and optimize backend services for high throughput and low-latency performance.
• Develop data-intensive and event-driven applications using Python Typescript Spark and AWS-native services.
• Work with Spark EMR Glue Kafka or similar frameworks to process and transform very large datasets.
• Improve system performance reliability and scalability across microservices and cloud infrastructure.
• Partner with senior engineers architects DevOps and QA throughout the full development lifecycle.
• Mentor developers guide code reviews and raise engineering quality standards.
• Automate deployments and CI/CD using Terraform Serverless Framework and Kubernetes-based workflows.

• 7 years of backend or full-stack engineering experience with a strong backend focus.
• 7 years of hands-on Python experience (APIs automation large-scale data pipelines).
• 3 years working with Typescript / .
• Advanced experience with AWS (EC2 EKS Lambda S3 DynamoDB RDS Step Functions etc.).
• Strong practical experience deploying and optimizing production workloads on Kubernetes.
• Proven experience working with large datasets distributed computing and batch or stream processing using Spark Dask EMR Glue Kafka etc.
• Solid understanding of system design distributed systems scalability patterns and cloud architecture.

• Ability to collaborate document solutions clearly and participate in technical discussions with stakeholders.

The expected base salary range for this role is $ 104300 - $ 130000* CAD and individuals may be eligible to participate in our variable compensation program.

*Final compensation may vary based on experience skills designations and market conditions.

This posting is for existing vacancy

This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement not replace human decision-making.