Senior Software Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer based in Canada. As a Senior Software Engineer, you will help build and scale advanced machine learning infrastructure designed to detect fraud and financial crime in real time. You will contribute to the development of distributed systems, streaming architectures, and large-scale data processing pipelines that power sophisticated fraud detection capabilities.

Working at the intersection of software engineering, big data, and machine learning, you will help improve detection accuracy and enable rapid responses to increasingly complex fraudulent activities. You will collaborate with experienced engineers and technical specialists to design reliable, high-performance systems capable of processing massive datasets. This role offers the opportunity to solve challenging technical problems using technologies such as Java, Python, Kafka, Spark, and Cassandra.

Join a collaborative, innovation-driven engineering environment where your contributions directly strengthen the security and reliability of digital services.

Accountabilities

Design and develop machine learning infrastructure: Build and maintain scalable systems that support advanced machine learning algorithms, including supervised learning, unsupervised learning, and deep learning, to identify suspicious patterns and fraudulent behavior.

Develop distributed real-time systems

Design, implement, and optimize distributed architectures that enable real-time data processing and fraud detection across high-volume datasets.

Build large-scale data pipelines

Leverage big data technologies such as Apache Spark, Hadoop, HBase, and Cassandra to develop efficient machine learning pipelines and process data from large consumer-facing platforms.

Implement streaming solutions

Develop and maintain real-time data processing systems using technologies such as Apache Kafka and Apache Flink to support rapid detection and analysis of emerging fraud patterns.

Improve detection capabilities

Collaborate with machine learning specialists to enhance detection algorithms, optimize data processing workflows, and support the continuous improvement of fraud detection performance.

Build engineering tools and validation frameworks

Develop internal systems, tools, and testing strategies that support new features, validate system behavior, and maintain software quality.

Optimize system performance

Identify bottlenecks and improve the scalability, reliability, efficiency, and responsiveness of distributed services and data infrastructure.

Contribute to architectural decisions

Participate in technical design discussions and help develop robust, maintainable architectures for complex data-intensive applications.

Support continuous innovation

Explore and implement engineering approaches that improve real-time analytics, automated model training, and the ability to respond to evolving fraud techniques.

Collaborate across technical teams

Work with software engineers, machine learning experts, and infrastructure specialists to deliver reliable solutions and advance the platform's technical capabilities.

Requirements

Professional experience: At least five years of professional software development experience, with a strong background in building and maintaining production-grade systems.

Programming expertise

At least five years of experience developing software with Java, Python, and Shell scripting, including the ability to write efficient, reliable, and maintainable code.

Database knowledge

Strong understanding of relational databases, SQL, and database design. Familiarity with object-relational mapping technologies such as JPA2 and Hibernate is an advantage.

Distributed systems and big data

Experience with one or more technologies such as Apache Cassandra, HBase, Spark, Hadoop, Flink, or Kafka is highly desirable.

Machine learning infrastructure

Interest or experience in supporting machine learning systems, large-scale data processing, streaming architectures, or automated data pipelines.

Software engineering best practices

Ability to design scalable systems, troubleshoot complex technical issues, optimize performance, and maintain high standards of code quality.

Testing and validation

Familiarity with test-driven development, automated testing, and validation techniques is an asset.

Problem-solving abilities

Strong analytical and critical-thinking skills, with the ability to address complex engineering challenges in distributed and data-intensive environments.

Collaboration and communication

Ability to work effectively with multidisciplinary engineering teams, communicate technical concepts clearly, and contribute constructively to design discussions.

Adaptability and continuous learning

Demonstrate curiosity and enthusiasm for emerging technologies, machine learning infrastructure, and innovative approaches to real-time fraud detection.

Location and remote work

Be based in Canada and comfortable working remotely. Candidates located in Calgary are preferred, although fully remote arrangements are available.

Benefits

Competitive compensation: Annual salary ranging from CAD $120,000 to CAD $150,000, depending on experience and qualifications.

Extended health coverage

Access to health insurance benefits, including extended healthcare services.

Vision care

Coverage for eligible vision-related healthcare expenses.

Dental insurance

Access to dental care benefits.

Life insurance

Financial protection through life insurance coverage.

Accidental insurance

Additional insurance coverage for eligible accidental events.

Retirement savings plan

Access to a retirement savings program to support long-term financial planning.

Paid vacation

Paid time off to support rest, personal commitments, and work-life balance.

Remote work flexibility

Opportunity to work remotely from Canada, with Calgary identified as a preferred location.

Advanced technical challenges

Work with large-scale machine learning systems, distributed architectures, and modern streaming technologies.

Collaborative engineering culture

Join a results-oriented team that values innovation, technical excellence, and knowledge sharing.

Meaningful impact

Contribute to technologies that help organizations detect fraud, strengthen security, and protect digital transactions.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?

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