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Principal Software Engineer - Platform, Identity and BI

Job in Vancouver, BC, Canada
Listing for: Calabrio
Full Time position
Listed on 2026-06-14
Job specializations:
  • Software Development
    Cloud Engineer - Software, Software Engineer, Full Stack Developer, Software Architect
Job Description & How to Apply Below

Are you driven by innovation and looking to thrive in a fast-paced, growing environment? Join us at Calabrio-Verint and be part of our dynamic team! Help us in reshaping the landscape of customer experience – where every interaction becomes an opportunity, and every insight drives meaningful change.

Calabrio-Verint are the trailblazers in customer experience intelligence! Revolutionizing the way organizations connect with their customers, we empower businesses to elevate every interaction to new heights. Our cutting-edge cloud platform, coupled with AI-driven analytics tools, unlocks the true essence of customer sentiment, turning data into actionable insights with lightning speed.

We are seeking a Principal Software Engineer to lead the architecture and development of on our Platform and Identity or Business Intelligence and data platform teams. This role requires deep expertise in AWS, full stack Java and Python development, data management, identity standards, and a proven track record of building enterprise-scale software as a service solutions. As a Principal Engineer, you will be a technical leader and strategic advisor, driving architectural decisions that impact millions of users globally.

** Candidate must be located in Ontario or British Columbia.*

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…
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