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Python And Kubernetes Software Engineer Data Jobs in Toronto, ON

This is an opportunity to work with big data and analytics, gaining exposure to various systems and ... Docker, Kubernetes, Rancher * 5+ years of RDBMS experience with Oracle, Postgres, SQL server * 5+ ...

Deep experience with Python or Java and Springboot Production level experience in AWS, Azure, GCP ... Kubernetes etc.) Strong computer science fundamentals in data structures, design patterns ...

As a Software Engineer (Data), you are a full stack data engineer that loves solving business ... Python). Data visualization technologies (Tableau, Looker, Superset) a plus. * Hands-on experience ...

Lead Software Engineer

Toronto, ON · Hybrid

CA$150K - CA$170K/yr

Lead Software Engineer (Python, .NET, Azure, Microservices) Location: Hybrid, 3x per week onsite ... Kubernetes production experience * ERP / CRM modernization experience * Event streaming ...

Their backend is developed in Python running in the cloud over k8s. It's not a typical backend ... AWS/GCP/Azure), Linux, Docker, Kubernetes, 3rd Party API integrations Experience with Data ...

Their backend is developed in Python running in the cloud over k8s. It's not a typical backend ... AWS/GCP/Azure), Linux, Docker, Kubernetes, 3rd Party API integrations Experience with Data ...

Experience with data processing or data engineering, integration with AI and ML services, APIs or ... Experience with Kubernetes, Open Telemetry (OTEL), PromQL, and Grafana Why Emburse? Finance is ...

Our technology stack includes Python, FastAPI, TypeScript, React, and AWS. What You'll Do * Design ... Optimize performance, reliability, and scalability as our customer base and data volumes grow.

Our technology stack includes Python, FastAPI, TypeScript, React, and AWS. What You'll Do * Design ... Optimize performance, reliability, and scalability as our customer base and data volumes grow.

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

Varicent

Toronto, ON

Other

Posted 7 days ago


Job description

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 BringTechnical 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.