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Assistant System Engineer Jobs in Waterloo, ON (NOW HIRING)

Teledyne

Test Engineer - NPI

Waterloo, ON · On-site

CA$62K - CA$83K/yr

Experience in camera or imaging systems. * Fluency in French is an asset. What we offer ... to assist in the Screening, Assessing and Selecting of candidates for this role Salary Range: $62 ...

Canadian Solar

DevOps / DevSecOps Intern

Kitchener, ON · On-site

Responsibilities: * DevOps Responsibilities * Assist in developing, maintaining, and optimizing ... Troubleshoot deployment issues and contribute to system monitoring and alerting. * Participate in ...

Magna

Senior Process Engineer

Guelph, ON · On-site

Bachelor's degree in engineering, Materials Science, Polymer/Composite Technology, Chemical ... to assist in the initial screening of applications submitted through our Workday system. These ...

Magna

Tooling Engineer

Milton, ON · On-site

CA$90K - CA$102K/yr

Through our robust product engineering, outstanding tooling capabilities and diverse process ... to assist in the initial screening of applications submitted through our Workday system. These ...

GHD

Senior Civil Engineer- Conveyance

Waterloo, ON · Hybrid

CA$83K - CA$129K/yr

... storage systems and civil design. The Senior Conveyance Engineer will cooperate and work closely ... Good understanding of level of effort required to complete the work to assist with project ...

Ferrero

Reliability Engineering Specialist

Brantford, ON · On-site

CA$95K - CA$125K/yr

Experience working with automated manufacturing equipment, PLC-controlled systems, and maintenance ... tools to assist with reviewing candidate applications. These tools are used solely to support ...

MealSuite

Engineering Manager

Cambridge, ON · On-site

CA$105K - CA$145K/yr

... Assist in debugging complex issues and resolving code or system challenges Help define and improve internal engineering processes, systems, and policies Drive adoption of AI tools and development ...

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Assistant System Engineer information

What are some common challenges faced by assistant system engineers during the onboarding period?

Assistant System Engineers often encounter challenges such as quickly adapting to complex IT infrastructures, learning proprietary systems, and understanding organization-specific protocols. Collaborating with senior engineers and cross-functional teams can also require strong communication skills to bridge knowledge gaps. Proactively seeking guidance, participating in training sessions, and utilizing available documentation are effective ways to overcome these initial hurdles and build a solid technical foundation.

What is the difference between Assistant System Engineer vs System Engineer?

AspectAssistant System EngineerSystem Engineer
QualificationsBachelor's degree in Computer Science or related field, certifications like CompTIA or Cisco are commonSame as Assistant System Engineer, often with additional certifications or experience
Work EnvironmentSupportive roles in IT teams, assisting with system maintenance and troubleshootingDesign, implement, and manage complex IT systems and infrastructure
ResponsibilitiesAssist in system setup, monitoring, and basic troubleshootingLead system design, deployment, and optimization

In summary, Assistant System Engineers typically support and assist System Engineers in daily tasks, focusing on maintenance and troubleshooting, while System Engineers handle more complex system design and management responsibilities.

What is an assistant system engineer?

Assistant System Engineers are entry-level professionals who support the design, implementation, and maintenance of computer systems and networks within an organization. They assist senior engineers in troubleshooting technical issues, configuring hardware and software, and ensuring the smooth operation of IT infrastructure. This role provides hands-on experience and exposure to various technologies, making it a common starting point for a career in systems engineering.

What are the key skills and qualifications needed to thrive as an assistant system engineer, and why are they important?

To thrive as an Assistant System Engineer, you need a solid grounding in computer science fundamentals, troubleshooting, and system administration, typically supported by a relevant degree or certification. Familiarity with operating systems (such as Linux and Windows), scripting languages, and IT service management tools like ServiceNow is often required. Strong analytical thinking, effective communication, and teamwork skills set outstanding candidates apart in this role. These competencies enable efficient problem-solving and collaboration, ensuring reliable system performance and swift resolution of technical issues.
What are the most commonly searched types of System Engineer jobs in Waterloo, ON? The most popular types of System Engineer jobs in Waterloo, ON are:
What cities near Waterloo, ON are hiring for Assistant System Engineer jobs? Cities near Waterloo, ON with the most Assistant System Engineer job openings:
Assistant System Engineer jobs near you
Infographic showing various Assistant System Engineer job openings in Waterloo, ON as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 1% Temporary, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

Staff Engineer - Open Source Data Platform (ODP)

Acceldata

Kitchener, ON • On-site

Full-time

Re-posted 28 days ago

Job description

ABOUT THE ROLE
We are seeking a Staff Engineer with at least 9 years of experience in distributed systems or data platform development. In this role, you will be a technical leader responsible for architecting and driving the technical direction of critical components within the Acceldata Open Data Platform (ODP). You will work on solving the most challenging distributed systems problems, contribute to open-source communities, and mentor senior engineers while shaping the future of large-scale data infrastructure.
 
You'll lead high-impact initiatives that directly influence how petabyte-scale data is managed, observed, and optimized across hybrid and cloud ecosystems. You'll collaborate with industry experts, Apache committers, and seasoned engineers who share your passion for distributed systems and open-source innovation.

WHY JOIN US
At Acceldata, you won't just be writing code; you'll be defining the architecture and technical vision for modern data platforms used by some of the world's largest enterprises. 
 
Your technical decisions will shape mission-critical systems, and your contributions will be visible across the global data ecosystem. If you're ready to take ownership of complex technical challenges and drive innovation at scale, Acceldata is where you belong.
RESPONSIBILITIES
  • Own the end-to-end architecture of major platform components, driving design decisions that impact scalability, reliability, and performance.
  • Architect and implement next-generation distributed data storage, processing, and query optimization systems.
  • Partner with product, engineering leadership, and stakeholders to define technical roadmaps and translate business requirements into scalable solutions.
  • Lead contributions to Apache projects and open-source communities, establishing Acceldata's presence and technical reputation.
  • Identify and resolve complex performance bottlenecks across distributed systems, optimizing for cost, latency, and throughput.
  • Mentor and guide Senior Software Engineers, fostering technical excellence and a culture of continuous learning.
  • Establish and enforce coding standards, perform thorough code reviews, and ensure architectural consistency across the platform.
  • Evaluate and recommend emerging technologies, tools, and frameworks that align with platform goals.
  • Lead root cause analysis for critical production issues and drive systemic improvements to prevent recurrence.
  • Work across diverse environments: Bare Metals, VM, Kubernetes, and multi-cloud architectures.
REQUIREMENTS
  • 9+ years of hands-on software development experience with at least 5 years focused on distributed systems or big data platforms.
  • Expert-level proficiency in Java or Scala, with strong Python skills. Experience with systems languages is a plus.
  • Deep understanding of distributed computing principles, including consensus algorithms, data partitioning, replication, fault tolerance, and consistency models.
  • Extensive hands-on experience with multiple components of the big data stack (Hadoop, Spark, Hive, Trino, Kafka, Flink, NiFi or similar).
  • Expert-level Linux proficiency, including kernel tuning, performance analysis, and debugging at the system level.
  • Strong experience with Kubernetes, Docker, and cloud platforms (AWS, GCP, or Azure).
  • Deep expertise with Maven, Gradle, or SBT; experienced in CI/CD pipelines, GitHub, and artifact management (Nexus).
  • Proven ability to diagnose and resolve complex issues, including memory leaks, deadlocks, GC tuning, and distributed system failures.
  • Strong understanding of architectural patterns for scalable, fault-tolerant distributed systems.
  • Excellent written and verbal communication skills; ability to articulate complex technical concepts to diverse audiences, including senior leadership.
  • Demonstrated ability to work effectively with cross-functional teams, external contributors, and the open-source community.
PREFERRED SKILLS
  • History of significant contributions or committer status in Apache projects (e.g., Spark, Kafka, Hive, Iceberg, Flink, etc.).
  • Experience with modern table formats (Apache Iceberg, Delta Lake, Hudi) and data lake architectures.
  • Experience developing or optimizing query engines, query planners, or execution frameworks.
  • Familiarity with data governance, security, lineage, and compliance frameworks.
  • Experience leading large-scale data platform migrations or Hadoop distribution upgrades.
  • Published technical blogs, papers, or conference presentations on distributed systems topics.
  • Experience leading or maintaining open-source projects.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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