Senior Software Engineer, Sports Analytics (Remote)

Placements24

Kimberley

Hybrid

CAD 90,000 - 130,000

Full time

6 days ago
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Benefits offered by this job

Remote work flexibility
Health insurance
Bonus program

Job summary

Placements24 is seeking a Senior Software Engineer to join its remote sports analytics-focused team. You will design and evolve scalable backend systems and collaborate with data scientists to deploy analytics models.

The role emphasizes Python/Java/C++, cloud-based architectures on AWS/Azure/GCP, and deep data processing. You will mentor junior engineers and help drive performance improvements across large datasets.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master's preferred.
  • 5+ years of professional experience in software development, with a strong emphasis on backend systems.
  • Proficiency in Python, Java, or C++, and experience with data processing frameworks.
  • Experience with cloud platforms (AWS, Azure, GCP) and database technologies (SQL, NoSQL).
  • Strong analytical and problem-solving skills, with a passion for sports analytics.

Responsibilities

  • Design, develop, and maintain scalable software applications for sports data analysis.
  • Collaborate with data scientists and domain experts to integrate analytical models into production systems.
  • Write clean, efficient, and well-documented code, adhering to best practices in software engineering.
  • Optimize application performance and database queries for handling large datasets.
  • Participate in code reviews, provide technical guidance, and mentor junior engineers.

Skills

Python
Java
C++
Backend systems
Data processing frameworks

Education

Bachelor's degree in Computer Science, Engineering
Master's preferred

Tools

AWS
Azure
GCP
SQL
NoSQL

Job description

Placements24 is seeking a Senior Software Engineer to join its remote sports analytics-focused team. You will design and evolve scalable backend systems and collaborate with data scientists to deploy analytics models.

The role emphasizes Python/Java/C++, cloud-based architectures on AWS/Azure/GCP, and deep data processing. You will mentor junior engineers and help drive performance improvements across large datasets.

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