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Distributed Systems Engineer Jobs in Ontario (NOW HIRING)

Enwin Utilities

Water Systems Engineer

Windsor, ON

CA$111K - CA$123K/yr

Water Systems Engineer Location: Windsor, ON Reporting to the Director Water Engineering and in ... Knowledge of construction and design of water treatment and distribution systems as well as related ...

Enwin Utilities

Water Systems Engineer

Windsor, ON · On-site

$111K - $123K/yr

Windsor, ON Reporting to the Director Water Engineering and in collaboration with the Senior ... Knowledge of construction and design of water treatment and distribution systems as well as related ...

Fortinet

Channel Systems Engineer - Scotland IMPORTANT: Candidates must already be based in Scotland with ... You will work closely with Channel Account Managers, distributors and key partners to drive ...

Fortinet, Inc.

Channel Systems Engineer - Scotland IMPORTANT: Candidates must already be based in Scotland with ... You will work closely with Channel Account Managers, distributors and key partners to drive ...

Clockwork.io

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)

Clio

Systems Engineer, Production

Toronto, ON · Remote

  • Medical

  • Dental

  • Vision

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 ...

Quantum Space

  • Medical

  • Dental

  • Vision

  • Retirement

Experience designing large-scale software systems and distributed software architectures ... Strong understanding of systems engineering principles including requirements development ...

CARFAX

Senior Systems Engineer

London, ON · Hybrid

CA$97K - CA$130K/yr

Join our winning team as a Senior Systems Engineer We are seeking a skilled Systems Engineer to ... The team is highly skilled and collaborative, diverse, and geographically distributed. Our mission ...

CARFAX

Senior Systems Engineer

London, ON · Hybrid

Join our winning team as a Senior Systems Engineer We are seeking a skilled Systems Engineer to ... The team is highly skilled and collaborative, diverse, and geographically distributed. Our mission ...

CARFAX

Senior Systems Engineer

London, ON · Hybrid

CA$97K - CA$130K/yr

Join our winning team as a Senior Systems Engineer We are seeking a skilled Systems Engineer to ... The team is highly skilled and collaborative, diverse, and geographically distributed. Our mission ...

TMX Group

System Engineer - Virtualization

Toronto, ON · Hybrid

CA$115 - CA$130/hr

... distributed system platforms. In this role, you will design, build, and maintain technical ... Senior Manager, Infrastructure Systems Engineering * Job Location: Hybrid (2-3 days in office ...

General Motors

Senior Systems Engineering

Markham, ON · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Role The Senior Systems Engineer will join the Systems Engineering team within the Device Data ... signals, configuration distribution, and vehicle/data lifecycle behaviors. * Ensure robust ...

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All JobsDistributed Systems Engineer JobsDistributed Systems Engineer Jobs in Ontario

Distributed Systems Engineer information

See Ontario salary details

$80K

$129.7K

$179K

How much do distributed systems engineer jobs pay per year?

As of Aug 16, 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 are the key skills and qualifications needed to thrive as a distributed systems engineer?

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 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 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 jobs near you
Infographic showing various Distributed Systems Engineer job openings in Ontario as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 87% In-person, and 13% Hybrid job distribution, with an average salary of $129,737 per year, or $62.4 per hour.

Software Engineer, Distributed Systems (Core)

Career Renew

Toronto, ON • Remote

$180K - $320K/yr

Full-time

Re-posted 25 days ago

Job description

Career Renew is recruiting for one of its clients a Software Engineer, Distributed Systems (Core) - this is a fully remote role for US/Canada candidates. Salary range: 180-320K USD yearly plus benefits plus equity. Visa sponsorship available.

Our mission is to empower everyone to take action on their data. Hundreds of companies, including Autotrader, Calendly, Cars.com, Monday.com, and PetSmart, trust us to power their growth.


We pioneered the Composable Customer Data Platform (CDP), which lets companies use their own data warehouse to collect, prepare, and activate customer data for marketing personalization and business operations. Our new AI Decisioning platform goes a step further, allowing marketers to set goals and guardrails that AI agents can then use to personalize 1:1 customer interactions. Traditionally, only technical teams had the skills to access and use customer data. With us, every business user can deliver personalized customer experiences, optimize performance marketing, and move faster by leveraging data and AI across their organization.

We are looking for a distributed systems engineer to work on the systems that power the syncing engine our customers and other engineering teams rely on. This presents an exciting challenge where you can apply your expertise in distributed systems, performance optimization, and troubleshooting to push the boundaries of what is possible and meaningfully improve our ability to move massive amounts of customer data. This role also provides a unique opportunity to work on a multi-cloud and multi-region infrastructure that supports a global customer base.


We believe in enabling our engineers to do their best work for our customers by giving them extremely high levels of ownership and autonomy. This comes in different forms: you will own and deliver projects from start to finish, you will work directly with customers to solve their hardest scaling problems, and you will have a lot of influence over what we work on as a team and company.


Some of the problems we’ll be working on include:

  • Sync Speed: Customers want to sync a lot of data to important destinations like Facebook and Snapchat, which requires us to analyze every part of our syncing process and find where we can optimize to sync data more quickly

  • Streaming Syncing: We currently sync data from sources in batch only, but envision a world where we also do syncs in real-time and support streaming sources like webhooks and queues

  • Scalability and Reliability: As part of our rapid growth, we’re always evaluating current future bottlenecks in scaling and reliability, and architecting for the next order of magnitude of growth

  • Personalization API: Our Personalization API product provides a low latency caching layer on top of data warehouses that enable customers to use their data warehouse for real-time personalization use cases with <30ms p90 response times with QPS in the millions

  • Multi-Region and Multi-Cloud: Supporting our multi-region and multi-cloud backend, including extending it to launch our platform in new regions to support data residency requirements of our global customer base

Requirements:
7+ years of experience as a software engineer with a very high level of general aptitude and work in distributed systems (Mandatory)
Have been part of high velocity startup through high stages of growth, Series B - Series E (i.e Stripe, Kong, Semgrep) (Mandatory)
Staff level minimum with a history of getting promoted quickly at the listed companies. (Mandatory)
Have graduated from a top 30 CS program such as: University of Waterloo, Harvard, Columbia, Princeton, Stanford, UC Berkeley, MIT, CMU, CalTech, Cornell, Duke, Dartmouth, Brown, IITs (Mandatory)
Extremely strong in systems design fundamentals and understanding of how large scale distributed systems behave (Mandatory)
You’ve created event collection or data streaming services that power company critical systems ( work with message queues, Kafka, SQL databases, Kubernetes, Docker) (Mandatory)
You’ve owned systems that have undergone orders of magnitude of growth and helped them scale accordingly (Mandatory)
You’ve built data sync engines that process and move terabytes of data per day in a scalable way (Nice-to-have)
Work close to the infrastructure layer of code, someone who knows how even the tools (i.e. spark, flink, kafka) are built (Nice-to-have)
Extremely strong communication skills, and are a fast learner who is excited to take on the challenges we face (Mandatory)