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Sr Software Jobs in Alberta (NOW HIRING)

DataVisor

Senior Software Engineer - Canada

Calgary, AB · Remote

CA$120K - CA$150K/yr

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and ...

Algo

Senior SDET

Calgary, AB

Partner with senior product engineers to route AI-generated defect fixes through the verification pipeline with human review at the right altitude. What We're Looking For * Strong software ...

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Sr Software information

What does a senior software engineer do?

A Sr Software Engineer is responsible for designing, developing, and maintaining complex software applications. They often lead technical projects, mentor junior team members, and collaborate closely with stakeholders to ensure software meets business objectives. Their role typically involves writing high-quality code, reviewing code from peers, and making architectural decisions. Sr Software Engineers are also expected to stay updated with industry trends and best practices to improve software performance and reliability.

What are the key skills and qualifications needed to thrive as a senior software engineer?

To thrive as a Senior Software Engineer, you need strong proficiency in programming languages (such as Java, Python, or C#), software architecture, and a bachelor’s degree in computer science or a related field. Expertise with development frameworks, version control systems like Git, and cloud platforms such as AWS or Azure is commonly required, along with certifications like AWS Certified Solutions Architect. Leadership, problem-solving, and effective communication skills help you mentor junior engineers and collaborate across teams. These skills ensure the delivery of robust, scalable solutions and foster innovation within complex technical environments.

What are some common challenges faced by senior software engineers when leading project teams, and how can they effectively overcome them?

Senior Software Engineers often encounter challenges such as balancing hands-on coding with mentoring less experienced team members, managing project timelines, and ensuring code quality across the team. Effective communication and proactive planning are key to overcoming these hurdles. By fostering a collaborative environment, setting clear expectations, and leveraging agile methodologies, Senior Software Engineers can guide their teams to successful project delivery while supporting professional growth within the team.

What is the difference between Sr Software and Software Developer?

AspectSr SoftwareSoftware Developer
Required CredentialsBachelor's degree in CS or related field; 3+ years experience; sometimes certificationsBachelor's degree in CS or related field; 0-3 years experience; certifications optional
Work EnvironmentOften leads projects, mentors juniors, involved in architecture decisionsFocuses on coding, debugging, and implementing features under guidance
Employer & Industry UsageUsed across tech companies, startups, and enterprise firms for senior rolesCommon entry to mid-level role in software development teams

The main difference between a Sr Software and a Software Developer lies in experience, responsibilities, and leadership. Sr Software professionals typically have more experience, take on leadership roles, and influence project architecture, while Software Developers focus on coding and implementing features. Both roles require a strong foundation in programming, but the Sr Software position involves greater oversight and strategic input.

What cities in Alberta are hiring for Sr Software jobs?

Cities in Alberta with the most Sr Software job openings:

Sr Software jobs near you
Infographic showing various Sr Software job openings in Alberta as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Senior Software Engineer - Canada

DataVisor

Calgary, AB • Remote

CA$120K - CA$150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

Job description

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering the total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results driven. Come join us!

Summary:

As platform engineers, we are building a next-generation machine learning platform, which incorporates our secret sauce, UML (unsupervised machine learning) with other SML (supervised machine learning) algorithms. Our team works to improve our core detection algorithms and automate the full training process.

As complex fraud attacks become more prevalent, it is more important than ever to detect fraudsters in real-time. The platform team is responsible for developing the architecture that makes real-time UML possible. We are looking for creative and eager engineers to help us expand our novel streaming and database systems, which enable our detection capabilities.

We continue to push the boundary of what's possible in fraud detection and data processing at scale. Join us to help usher in more innovative solutions to the fraud detection space.

What you'll do:

  • Design and build machine learning systems that process data sets from the world's largest consumer services
  • Use unsupervised machine learning, supervised machine learning, and deep learning to detect fraudulent behavior and catch fraudsters
  • Build and optimize systems, tools, and validation strategies to support new features
  • Help design/build distributed real-time systems and features
  • Use big data technologies (e.g. Spark, Hadoop, HBase, Cassandra) to build large scale machine learning pipelines
  • Develop new systems on top of real-time streaming technologies (e.g. Kafka, Flink)

Requirements

  • 5+ years software development experience
  • 5+ years experience in Java, Shell, Python development
  • Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate) is a plus
  • Experience in Cassandra, HBase, Flink, Spark or Kafka is a plus.
  • Experience in the Spring Framework is a plus
  • Experience with test-driven development is a plus
  • Preferred based in Calgary, but could be a fully remote position

Benefits

Compensation: Annual salary range of CAD $120,000 - $150,000, commensurate with experience.

Canada Life Policy

Health Insurance including (Extended Health Care, Vision Care, and Dental Care)

Life Insurance, Accidental Insurance

Retirement Savings Plan

Paid Vacation

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