1

Bs In Computer Science Jobs in Toronto, ON (NOW HIRING)

Advanced degree (PhD or Master's) in Computer Science, Statistics, Mathematics, or a related field. * 3+ years of work experience as a Data Scientist with experience at all levels of the ML pipeline ...

AI Engineer

Toronto, ON · On-site

CA$130K - CA$165K/yr

Lead system design and drive technical decisions through hands-on prototyping and benchmarking What You Bring * BS in Computer Science, AI, Electrical Engineering, or related field (advanced degree ...

PhD or Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field * Experience with real-time ML systems and feature stores * Background in recommendation systems or ...

PhD or Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field * Experience with real-time ML systems and feature stores * Background in recommendation systems or ...

AI Assessment Specialist - PhD

Toronto, ON · On-site +1

CA$66 - CA$84/hr

Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Applied Computer Science Benchmark ...

Perform thorough design and code reviews, drive best practices to clean and maintainable code Minimum Qualifications * BS in Computer Science or related field or equivalent work experience * Strong ...

Bachelor's degree in Computer Science, Statistics, Applied Mathematics, or a related quantitative field; Master's degree or equivalent research experience preferred How We Work Vanguard has ...

Showing results 41-60

Bs In Computer Science information

What can you do with a BS in Computer Science?

A Bachelor of Science (BS) in Computer Science prepares graduates for a wide range of careers in technology and related fields. Common job roles include software developer, systems analyst, data scientist, cybersecurity analyst, and IT consultant. Graduates can work in industries such as finance, healthcare, education, and entertainment, or pursue advanced degrees in computer science or related disciplines. The degree equips students with skills in programming, problem-solving, and system design, which are highly sought after in today’s digital world.

What are the key skills and qualifications needed to thrive with a BS in Computer Science?

To thrive with a BS in Computer Science, you need a solid understanding of programming languages, algorithms, data structures, and software development principles, typically backed by a bachelor's degree in the field. Familiarity with tools such as version control systems (e.g., Git), integrated development environments (IDEs), and common frameworks or platforms is often required. Strong problem-solving abilities, teamwork, and effective communication make candidates stand out in technical environments. These skills are crucial for building reliable software solutions, collaborating efficiently, and adapting to the rapidly evolving tech landscape.

What types of entry-level roles are commonly available to candidates with a BS in Computer Science, and how do these roles typically support career growth?

Graduates with a BS in Computer Science often find entry-level opportunities such as software developer, quality assurance analyst, IT support specialist, or data analyst. These roles typically involve working within a collaborative team, gaining hands-on experience with real-world projects, and learning from senior engineers or mentors. As you build technical skills and demonstrate reliability, there are clear pathways to advance into specialized areas like software engineering, cybersecurity, or project management. Proactively seeking mentorship and participating in cross-functional projects can accelerate professional growth within the tech industry.

What is the difference between Bs In Computer Science vs Software Developer?

AspectBs In Computer ScienceSoftware Developer
Required CredentialsBachelor's degree in Computer Science or related fieldOften requires a bachelor's degree in Computer Science, Software Engineering, or related field
Work EnvironmentAcademic, research, or industry settings involving programming, algorithms, and systemsPrimarily in software development teams, coding, testing, and deploying applications
Industry UsageUsed as a foundational degree for various tech roles, including software developmentCommonly employed in tech companies, startups, and IT departments

While a Bs In Computer Science provides a broad theoretical and practical foundation in computing, a Software Developer focuses specifically on designing, coding, and maintaining software applications. Both roles often overlap in skills and work environments, but the degree offers more versatility across tech careers.

Are Bs in computer science majors still in demand?

A Bachelor of Science in Computer Science remains a highly in-demand degree, as software development, data analysis, cybersecurity, and IT roles continue to grow across various industries. Employers value skills in programming languages, problem-solving, and familiarity with tools like Python, Java, and cloud platforms, making graduates competitive in the job market.

What are popular job titles related to Bs In Computer Science jobs in Toronto, ON?

For Bs In Computer Science jobs in Toronto, ON, the most frequently searched job titles are:

What cities near Toronto, ON are hiring for Bs In Computer Science jobs?

Cities near Toronto, ON with the most Bs In Computer Science job openings:

Infographic showing various Bs In Computer Science job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 2% Contract, and 1% Nights. Highlights an 76% Physical, 4% Hybrid, and 20% Remote job distribution.

Sr Staff Software Engineer

Kaseya Careers

Toronto, ON

Full-time

Re-posted 23 days ago


Job description

The Role:

We're looking for a Senior Staff Engineer who thrives on solving complex problems and building and supporting secure, multitenant, fault-tolerant systems at scale. You'll play a critical role in shaping multitenant architecture, writing high-quality code using latest AI development tools and delivering robust, high-performance applications that power our platform.

Working closely with cross-functional teams, you will leverage your expertise in Java, AWS, microservices, databases and expert usage of modern AI development tools to build robust solutions that drive our success. Your ability to balance deep technical knowledge, technical leadership skills with a collaborative mindset will be essential in shaping the future of our engineering landscape.

If you're passionate about building world-class software and thrive in an environment where innovation and excellence are valued, this could be the perfect role for you.

Key Responsibilities:

  • Architect & Develop: Implement scalable, maintainable, and high-performance Java applications with a strong focus on microservices using latest AI development tools
  • Cloud Solutions: Build and optimize cloud-based applications leveraging AWS services, including ECS, EC2, SQS, DynamoDB, and RDS (MySQL/PostgreSQL).
  • Cross-Functional Collaboration: Work closely with product managers, DevOps engineers, and key stakeholders to define system requirements and deliver impactful software solutions.
  • Technical Leadership: Lead architectural decisions and advocate for best practices while remaining hands-on in Java development.
  • Problem-Solving: Diagnose and resolve complex technical challenges, ensuring system efficiency, reliability, and scalability.
  • Mentorship & Knowledge Sharing: Guide and support less experienced developers, fostering best practices and continuous learning within the team.

Key Skills and Qualifications:

  • Extensive Java Expertise: 7+ years of hands-on experience in Java development, including J2EE, Spring, and Hibernate
  • Cloud Proficiency: Strong experience with AWS services such as ECS, EC2, Lambda, SQS, DynamoDB, RDS and Infrastructure as code (IaC)
  • Database Expertise: Solid understanding of SQL and NOSQL databases with experience in database design, scaling, and optimization.
  • Microservices Architecture: Proven experience designing and developing microservices using Spring Boot, Docker,
  • Cloud-Native Development: Hands-on experience building and deploying applications in AWS environments.
  • DevOps & CI/CD Knowledge: Proficiency in Git, Jenkins, and managing CI/CD pipelines.
  • Strong understanding of monitoring and alerting solutions, including tools like Prometheus, Grafana, CloudWatch, to proactively manage system performance and reliability.
  • Education & Experience: Bachelor's in computer science (or equivalent) with 10+ years of related experience; or Master's with 8+ years of related experience

Desired Skills:

  • Demonstrated experience with Agentic AI and MCP, along with a deep, solid grasp of core AI principles and fundamentals.
  • Strong Collaboration & Communication: Ability to work effectively with cross-functional teams to drive business and technical success.
  • Problem-Solving Mindset: A keen analytical thinker with the ability to debug, optimize, and enhance complex applications.