Onsite Software Engineer in Calgary

Onsite Software Engineer in Calgary

Calgary Full-Time 121500 - 148500 $ / year (est.) On-site
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At a Glance

  • Tasks: Own and develop key parts of a mission-critical fintech system.
  • Company: Venture-backed fintech company revolutionizing merchant operations and payments.
  • Benefits: Competitive salary, growth opportunities, and a chance to work with cutting-edge technology.
  • Other info: Collaborative environment with a focus on AI-assisted workflows.
  • Why this job: Make a real impact in the fintech space while learning and growing your skills.
  • Qualifications: Experience in software engineering and a passion for innovative solutions.

The predicted salary is between 121500 - 148500 $ per year.

Anchorbase is a venture-backed fintech company building a modern merchant operations and payments platform for North America.

We hire software engineers to own meaningful parts of a mission-critical fintech system, with ownership, learning, and responsibility emphasized.

You will work across a modern stack, collaborate with design, and leverage AI-assisted workflows while maintaining strong engineering judgment.

The role offers growth and real impact across customer-facing and backend components.

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Onsite Software Engineer in Calgary employer: S27a

At Peripheral, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As a Machine Learning Engineering Intern in Toronto, you'll have the unique opportunity to work alongside top-tier engineers and researchers, gaining hands-on experience in cutting-edge technology while contributing to high-impact projects in live sports and entertainment. With flexible paid time off and mentorship from industry leaders, we are committed to your professional growth and ensuring you thrive in a dynamic and supportive environment.

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Contact Details:

S27a Recruitment Team

We think you need these skills to ace Onsite Software Engineer in Calgary

Software Engineering
Fintech Knowledge
Ownership
Learning Agility
Collaboration
AI-assisted Workflows
Engineering Judgment