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Distributed Systems Engineer Jobs in Ontario (NOW HIRING)

This role is for engineers who like consequential junctions: between training outputs and ... Experience with distributed systems, service platforms, search/relevance systems, internal ...

Autodesk is seeking a Senior ML Engineer, ML Systems and Infrastructure to design and scale the ... Optimize distributed workflows for performance, reliability, resource utilization, and cost ...

The Systems Engineering team at Clio builds and operates the systems that power all of our cloud ... You'll be part of a globally distributed team, collaborating closely with engineers in North ...

CA$150K - CA$230K/yr

You'll work at the intersection of GPU systems, high-speed networking, and distributed coordination ... GPU programming (CUDA) or GPU systems experience * High-performance networking (RDMA, InfiniBand)

Senior Systems Engineer, Production

Toronto, ON ยท Remote

CA$176K - CA$202.40K/yr

The Systems Engineering team at Clio builds and operates the systems that power all of our cloud ... You'll be part of a globally distributed team, collaborating closely with engineers in North ...

Design scalable systems for distributed training, data processing, feature and model lifecycle ... Mentor engineers and act as a force multiplier through design leadership, coaching, and technical ...

Lead architecture for distributed data processing and orchestration systems such as Ray, Airflow, Spark, or similar platforms * Define scalable approaches for model deployment, inference services ...

Your Role as Intermediate Electrical Engineer Reporting to the Manager of Power Systems Engineering ... Qualifications * 7+ years of related low/medium/high voltage power distribution experience is ...

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Distributed Systems Engineer information

See Ontario salary details

$80K

$129.7K

$179K

How much do distributed systems engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for distributed systems engineer in Ontario is $129,737.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $156,000.00 per year, depending on experience, location, and employer.

What does a Distributed Systems Engineer do?

A Distributed Systems Engineer designs, builds, and maintains large-scale systems that run across multiple machines or data centers. They ensure reliability, scalability, and fault tolerance by using technologies like cloud computing, containerization, and distributed databases. Their work often involves solving complex problems related to data consistency, network latency, and system coordination.

What are the key skills and qualifications needed to thrive in the Distributed Systems Engineer position, and why are they important?

To thrive as a Distributed Systems Engineer, you need a strong background in computer science, experience with large-scale system design, and proficiency in languages such as Java, Go, or Python. Familiarity with cloud platforms (like AWS, GCP, or Azure), container orchestration tools (such as Kubernetes), and distributed databases is commonly required, and certifications in cloud computing can be advantageous. Strong problem-solving abilities, collaboration, and excellent communication skills help you navigate complex issues and work effectively across technical teams. These skills are fundamental for designing, implementing, and maintaining robust distributed systems that perform reliably at scale.

What are the typical daily responsibilities of a Distributed Systems Engineer?

A Distributed Systems Engineer typically spends their days designing, implementing, and testing scalable systems that handle large volumes of data and user requests. You'll collaborate closely with software developers, DevOps engineers, and product managers to architect solutions that ensure reliability, performance, and fault-tolerance. Regular tasks may include reviewing system performance metrics, debugging distributed applications, writing detailed documentation, and participating in code reviews. Engaging in team meetings and cross-functional discussions is also common, as seamless cooperation is vital in this complex and fast-evolving field.
What are the most commonly searched types of Distributed Systems Engineer jobs in Ontario? The most popular types of Distributed Systems Engineer jobs in Ontario are:
What are popular job titles related to Distributed Systems Engineer jobs in Ontario? For Distributed Systems Engineer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Distributed Systems Engineer jobs in Ontario look for? The top searched job categories for Distributed Systems Engineer jobs in Ontario are:

Distributed Systems Engineer - Blockchain

Career Renew

Toronto, ON โ€ข Remote

$180K - $300K/yr

Full-time

Posted 8 hours ago


Job description

Career Renew is recruiting for one of its clients a Distributed Systems Engineer - Blockchain - this is a fully remote role for N America based candidates. Salary range: 180-300K USD yearly plus benefits plus equity.
We are building a new frontier in market infrastructureโ€”redefining how value is discovered, priced, and distributed in real time.


We believe the systems that move value should distribute it fairly. Our mission is to bring structure, transparency, and efficiency to systems where value is currently fragmented, opaque, and unevenly captured.


We are defining a new category for MEV distribution that merges economic efficiency with emerging regulatory frameworks. This requires rethinking how systems are designed at the lowest levels of execution.


Based in New York, NY and San Francisco, CA, we operate at the intersection of distributed systems, market structure, and applied cryptography. We are a small, high-leverage team focused on building systems that directly impact real economic flows.
Role Description


We are hiring a Founding Engineer to design and build the core system from first principles.
This is not a role for implementing predefined features. You will be responsible for turning ambiguous problems into working systemsโ€”defining architecture, making tradeoffs, and shipping production-grade infrastructure in a fast-moving environment.
You will work across the full stack of a real-time distributed system:

  • data ingestion and state reconstruction

  • low-latency execution pathways

  • auction and coordination mechanisms

  • system reliability and failure handling


You will make critical technical decisions that shape both the product and the company. The systems you build will directly mediate real economic flows. As an early engineer, you will also define engineering standards, influence hiring, and set the cultural bar for how systems are built.
Responsibilities

  • Design and implement core system architecture for a real-time distributed platform

  • Own systems end-to-end: from concept โ†’ design โ†’ implementation โ†’ production

  • Translate ambiguous, high-level problems into concrete technical solutions

  • Identify and resolve performance bottlenecks, latency constraints, and system failures

  • Drive technical direction across components, not just within a single service

  • Collaborate closely with product and business to align technical decisions with economic outcomes

  • Establish engineering best practices, code quality standards, and system reliability expectations


Qualifications

  • Experience leveraging AI tools and agent-based workflows to accelerate development

  • Strong systems programming experience (Rust)

  • Deep experience building or operating distributed systems with real-world constraints (latency, scale, fault tolerance)

  • Proven ability to design systems, not just implement them

  • Demonstrated ownership of complex systems or products from end-to-end

  • Strong intuition for tradeoffs across performance, complexity, and reliability

  • Comfortable operating in ambiguous environments with minimal structure


Strong signals (not required, but highly valued):

  • Experience with blockchain consensus internals, validator client architecture, or low-level protocol development

  • Experience with virtual machines or low-level execution environments

  • Background in systems where correctness and latency both matter

Compensation & Package

FTE Hire Full Benefits and Equity + Base.