Staff Software Engineer – Backend (Python / Typescript / Big Data / AWS / Kubernetes)
Огляд ролі від JobGrid
Staff Software Engineer – Backend (Python / Typescript / Big Data / AWS / Kubernetes) at varicent: Toronto, Канада; На місці; Lead; IT; Back End інженер. This listing is part of JobGrid's Вакансії software engineer з публічних сторінок кар'єри. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: Toronto, Канада, На місці
- Role classification: IT, Back End інженер, Lead
- Source freshness: checked by JobGrid on 2026-06-03.
- Application path: candidates continue to the employer application page with non-personal referral tags.
- 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.
What You’ll Do
- 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.
What You Bring
Technical Expertise
- 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 / Node.js.
- 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.
Collaboration & Communication
- Ability to collaborate, document solutions clearly, and participate in technical discussions with stakeholders.
The expected base salary range for this role is $ 104,300 - $ 130,000* 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.