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Principal Software Engineer - Platform, Identity and BI

Job in Vancouver, BC, Canada
Listing for: Calabrio
Full Time position
Listed on 2026-06-13
Job specializations:
  • Software Development
    Backend Developer, Cloud Engineer - Software, Full Stack Developer, Software Engineer
Salary/Wage Range or Industry Benchmark: 120000 CAD Yearly CAD 120000.00 YEAR
Job Description & How to Apply Below
What you'll be doing:

Architect and develop large-scale, mission-critical platform services for millions of users across the globe, leveraging AWS native technologies including Lambda, ECS/EKS, Athena, RDS, Redshift, Glue, and S3 using common Java and Python frameworks and libraries.

Build and maintain sophisticated back-end services and related front-end applications using Java, Python, React, and related modern web technologies.

Develop and maintain Identity and Platform related REST APIs with event-driven architectures to enable seamless integration between platform services, analytics tools, and customer-facing applications.

Lead the design and implementation of robust data pipelines, data lakes, and data warehouses using modern architectures (Iceberg, Parquet, columnar formats) to support real-time and batch analytics at scale.

Drive technical strategy and architectural decisions for the Platform, including query optimization, performance tuning, and cost optimization across AWS services.

Design and implement efficient data storage solutions across relational databases (SQL Server, Redshift, Postgre

SQL) and non-relational databases (Dynamo

DB, S3), ensuring optimal performance and cost-efficiency.

Serve as the technical lead and mentor for engineering teams, conducting architecture reviews, code reviews, and providing guidance on complex technical challenges.

Collaborate with cross-functional teams including data engineers, analytics engineers, product managers, and Dev Ops to deliver innovative Platform, Identity and BI solutions that drive business value.

Champion engineering excellence by establishing best practices, design patterns, and coding standards for data-intensive applications.

Evaluate and integrate emerging AWS services and open-source technologies to continuously improve platform capabilities and developer productivity.

Troubleshoot and resolve complex performance issues in distributed data systems, optimizing query performance, data processing workflows, and infrastructure costs.

Participate in strategic planning and roadmap development, translating business requirements into scalable technical solutions.

Contribute to the team on-call rotation, providing expert-level support for production environments and mentoring team members on incident response.

Requirements

10+ years of professional experience in software development, with at least 5 years focused on service based architectures, business intelligence, or identity and application platforms in enterprise SaaS environments.

Deep expertise in AWS data and analytics services including  Athena, Redshift, Glue, S3, Quick Sight, Lake Formation , with hands‑on experience architecting and operating production workloads.

Advanced proficiency in  Python  for backend services, data processing, or ETL/ELT development, with strong knowledge of frameworks such as FastAPI, Flask, or similar.

Similar proficiency with  Java  for backend services using Spring Boot or other similar frameworks.

Experience with Identity management standards including SAML, OIDC and related platforms and architectural patterns.

Expert‑level  SQL  skills including complex query optimization, window functions, CTEs, and performance tuning across multiple database engines (Redshift, Postgre

SQL, Athena).

Strong full‑stack development capabilities with proficiency in  React, JavaScript/Type Script , and modern front‑end frameworks for building application UIs and/or analytics dashboards and data visualization interfaces.

Strong, in‑depth experience with AI coding assistants such as  Git Hub Copilot, Cursor, and Windsurf  to accelerate development and improve code quality.

Experience with both relational databases (Redshift, Postgre

SQL, SQL Server, Aurora) and non‑relational databases (Dynamo

DB, Open Search, Document

DB).

Demonstrated ability to design and implement scalable event‑driven architectures (Lamda, Event Bridge, SQS, SNS), and microservices patterns.

Experience with  AWS CDK (Cloud Development Kit)  or Cloud Formation/Terraform for infrastructure‑as‑code and automated deployment pipelines.

Proven track record of leading technical initiatives, mentoring senior engineers, and…
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