Software Engineer

EnStream is a trusted leader in secure mobile identity verification and data services in Canada. We work at the intersection of technology, telecommunications, and data privacy — enabling businesses and governments to deliver seamless, secure digital experiences to their customers. Jointly owned by Canada’s largest telecom providers, EnStream is uniquely positioned to provide secure access to mobile network insights that drive innovation and protect consumers.

Our mission is to empower frictionless trust in every interaction. EnStream is dedicated to increasing trust and convenience for Canadians using real-life, verified identities and network data held by trusted telco networks. At EnStream, every team member plays a critical role in shaping our strategy and delivering meaningful impact across industries.

The Software Engineer at EnStream plays a key role in building the next generation of fraud-prevention and identity verification services that protect Canadian consumers and financial institutions. Working across distributed, carrier-integrated systems, this role contributes throughout the full software development lifecycle—from design and coding to deployment and monitoring. The Engineer designs and implements scalable APIs and data pipelines, embeds security and reliability into every layer of the stack, and collaborates closely with QA, Operations, and Data Ops teams.

By combining strong coding discipline with modern practices in observability, automation, and data-driven engineering, the Engineer helps deliver resilient, high-performance services that power critical financial and telecom ecosystems.

• Contribute across the entire software development lifecycle: design, development, testing, deployment, monitoring, and continuous improvement.
• Design and implement efficient, scalable, and highly available technical solutions that power EnStream’s fraud-prevention and identity verification APIs.
• Write clean, reusable, and well-documented source code, leveraging object-oriented programming and modern design patterns.
• Build and maintain unit tests, integration tests, and technical documentation to support maintainability and reliability.
• Participate in peer code reviews and knowledge-sharing to raise the overall quality of the engineering team’s output.
• Support product deployment and troubleshoot production issues in close collaboration with Operations, Release, and QA teams, ensuring service reliability and uptime for high-value financial and telecom customers.
• Collaborate with Data Ops and Data Science teams to design, deploy, and maintain frameworks that operationalize data-driven models (fraud scoring, anomaly detection, behavioral analytics) into production services.
• Develop and support ETL/ELT pipelines, ensuring data quality, security, and compliance across multiple sources (carrier feeds, real-time notifications, fraud events).
• Implement observability best practices (metrics, logs, tracing) to monitor system performance and proactively detect issues.
• Stay current with coding standards, modern software practices, and emerging technologies relevant to distributed systems, security, and data-driven applications.
• Actively participate in agile ceremonies as part of a Scrum team, helping drive feature delivery and platform modernization.

• Degree in Computer Science, Software Engineering, or equivalent practical experience.
• 2+ years of software development experience with an object-oriented language (Python, Java, C#, C++).
• Strong understanding of OOP principles, design patterns, and core algorithms.
• Hands-on experience developing and maintaining RESTful APIs.
• Strong coding discipline with experience writing automated tests (unit, integration) as part of daily development.
• Solid knowledge of relational database systems (e.g., MySQL, Postgre
  
  SQL) and schema design.
• Proficiency with version control systems (Git; SVN acceptable but Git preferred).
• Excellent problem-solving and analytical skills, with a detail-oriented and security-conscious mindset.
• Strong communication skills, verbal and written, with the ability to explain technical concepts…