Software development jobs in Toronto, ON and nearby

Software development jobs within 25 km of Toronto, ON, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

Counted Oct 3, 2026

Hiring at a glance

View jobs

Open jobs: 1,554
Employers: 550

Advertised starting pay

Average starting payCAD / year: $119,608Across 160 listings
Average starting payUSD / year: $146,915Across 47 listings
Average starting payCAD / hour: $61.60Across 30 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 0%0 listings
Hybrid: 49%755 listings
On-site: 50%781 listings

Not specified: 1% (18 listings)

Employers hiring include Amazon (50), Okta (43), S M Software Solutions Inc (40).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Software development jobs in Toronto, ON and nearby

Within 25 km

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Added 9 days ago
Embedded Systems Software Engineer
indie
Toronto, ON
Added 9 days ago
Software Development Engineer, Ring Cloud Connectivity Org
Amazon
Toronto, ON
Ring is seeking a Mobile Software Development Engineer to join the Cloud Connectivity organization in Toronto, where you'll build and deliver customer-facing mobile experiences that power…
Added 9 days ago
B
Senior GenAI Software Developer
BMO
Toronto, ON
- Full-time
…We're looking for a passionate and innovative Senior GenAI Software Developer to join our growing team and help design, build, scale, and lead intelligent AI-powered solutions that enhance…
Added 9 days ago
C
Software Technical Leader
Cisco
Mississauga, ON
- Full-time
Senior Software Engineer - Cloud Data Ingestion Platform
Added 9 days ago
Software Engineer, Driver Experience
Lyft
Toronto, ON
Added 9 days ago
Senior Software Engineer, Rider
Lyft
Toronto, ON
Lyft is looking for software engineers from a scope of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our…
Added 9 days ago
WE
Senior Backend Engineer
Woodbine Entertainment
Toronto, ON
- Full-time
Added 9 days ago
Software Engineer II
Braze
Toronto, ON
Added 9 days ago
Site Reliability Engineer - OpenShift
Capgemini
Toronto, ON
Added 9 days ago
BI
Lead Backend Engineer – AWS
BULL INFORMATION SYSTEMS LIMITED
Toronto, ON
- Full-time
Added 9 days ago
B
Software Engineer II
Braze
Toronto, ON
- Full-time
Added 9 days ago
T
R_1508495 Software Engineer III (Salesforce Loyalty Management Technical Lead)
TD
Toronto, ON
- Full-time
…opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been…
Added 9 days ago
T
Software Engineer II (Salesforce Loyalty Management Developer)
TD
Toronto, ON
- Full-time
…opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been…
Added 9 days ago
C
Consultant, Application Developer (Data Engineer)
CIBC
Toronto, ON
- Full-time
Added 9 days ago
A
Full Stack Developer - .NET (Intermediate)
AIIM
Toronto, ON
- Full-time
…talented and motivated Full Stack Developer – .NET to join our development team. The ideal candidate will have strong experience building scalable, secure, and high-performance web…
Added 9 days ago
M
Full Stack Liferay Application Developer
McKesson
Mississauga, ON
- Full-time
Added 9 days ago
C
Consultant, Back End Developer- Scala
CIBC
Toronto, ON
- Full-time
Added 9 days ago
B
Principal AI Cloud Engineer
BMO
Toronto, ON
- Full-time
Added 9 days ago
TH
LEAD SOFTWARE DEVELOPER
The Home Depot Canada
Toronto, ON
- Full-time
Added 9 days ago
WS
Senior Software Developer, SharePoint & Microsoft Power Apps
Workplace Safety and Insurance Board (WSIB)
Toronto, ON
- $106,460.91 to $125,248.03 CAD / year
- Full-time
Added 10 days ago
C
Sr. Staff Software Engineer, Inference Platform
Cerebras
Toronto, ON
- Full-time
Added 10 days ago
C
Staff Software Engineer - Tools & Infrastructure / DevOps
Cerebras
Toronto, ON
- Full-time
Added 10 days ago
C
Staff Site Reliability Engineer – Automation and Platform
Cerebras
Toronto, ON
- Full-time
Added 10 days ago
C
Software Engineer - Host and Network IO
Cerebras
Toronto, ON
- Full-time
Added 10 days ago
C
Staff Cloud Infrastructure Engineer
Cerebras
Toronto, ON
- Full-time

Cerebras

Sr. Staff Software Engineer, Inference Platform

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: 8+ years of experience in software engineering, with substantial individual contributor experience building and operating large-scale distributed systems or cloud infrastructure.
Posting language: English
Posted: Sep 23, 2026

Original job description

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.

This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.

Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

About The Role

We're hiring a Staff Engineer to help lead, drive, and contribute to projects on our Inference Platform team. Our team primarily owns the orchestration layer that runs inference on our datacenter clusters, connecting cloud components with machine learning services. We are often the first team to face problems that haven't been solved yet, leading solutions across Kubernetes operators, service security policies, and CI/CD.

If you're interested in building the next-generation architecture of a globally distributed inference platform, we'd like to talk.

Responsibilities

Design, develop, test, and maintain production software, with responsibilities spanning testing, continuous development, observability, security, networking, debugging, and productionization.
Raise the effectiveness of senior engineers through design feedback, pairing, and clear technical standards.
Platform Direction. Help shape the technical direction for the Inference Platform, Kubernetes custom resource definitions, failure domains, service boundaries, and system evolution over time, and own the roadmap for major technical areas.
Reliability & Performance. Architect active-active systems with rapid failover, graceful degradation, and clear SLOs. Drive system-level improvements in latency, throughput, capacity efficiency, and resilience under unpredictable demand.
Execution on Critical Paths. Write and review production code in the most important parts of the platform. Make high-consequence architectural decisions within your area and set the technical bar through design reviews, code reviews, and sound engineering judgment.
Production Leadership. Lead on the hardest production issues and cross-system bottlenecks. Drive observability, incident response, capacity planning, and post-incident improvement with a high standard for operational rigor.
Technical Influence. Partner with ML, Product, Infrastructure, and Cloud teams to translate product and business requirements into scalable system designs, and drive alignment on shared technical decisions within your domain and adjacent platform surfaces.

Skills & Qualifications

8+ years of experience in software engineering, with substantial individual contributor experience building and operating large-scale distributed systems or cloud infrastructure.
Deep expertise in distributed systems architecture, ideally with Kubernetes.
Strong track record of making sound architectural decisions for highly available, latency-sensitive systems at scale.
Experience with security (certificates, TLS, mTLS).
Experience optimizing latency, throughput, and efficiency in high-QPS systems. Experience with TTFT and tail-latency reduction is a strong plus.
Strong proficiency in backend or systems languages such as Go or C++, with the expectation that you can contribute production code directly.
Experience designing observability and reliability practices, including metrics, logging, tracing, alerting, incident response, and SLO-driven operations.
Ability to influence senior engineers and cross-functional partners through technical credibility, communication, and judgment, especially within your domain and adjacent systems.
Preferred Skills & Qualifications
Experience with ML inference infrastructure, model serving systems, or GPU-accelerated workloads.

Location: Sunnyvale or Toronto preferred

Why Join Cerebras

About

People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:

Build a breakthrough AI platform beyond the constraints of the GPU.
Publish and open source their cutting-edge AI research.
Work on one of the fastest AI supercomputers in the world.
Enjoy job stability with startup vitality.
Our simple, non-corporate work culture that respects individual beliefs.

Find out more about what it's like to work at Cerebras here!

Apply today and become part of the forefront of groundbreaking advancements in AI!

Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.

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Apply About employer

More about this job

Responsibilities

Design, build, and operate the inference platform, including its Kubernetes orchestration layer, while shaping architecture, technical roadmaps, reliability, performance, and security. Lead critical production work and incidents, set engineering standards, and align with ML, Product, Infrastructure, and Cloud teams on scalable system designs.

Requirements

Requires 8+ years of software engineering experience, substantial hands-on work with large-scale distributed systems or cloud infrastructure, and deep expertise in distributed architecture, ideally with Kubernetes. Candidates should be proficient in Go or C++, experienced with highly available and latency-sensitive systems, security, observability, and SLO-driven operations; ML inference or GPU workload experience is preferred.

Skills

Distributed Systems
Kubernetes
Cloud Infrastructure
Go
C++
High Availability
Latency Optimization
Throughput Optimization
TLS
Mutual TLS
Observability
Reliability Engineering
Incident Response
Service Security
Machine Learning Inference
Model Serving

Visa sponsorship

Not detected in the job text

Keywords

Inference Platform
Distributed Systems
Kubernetes
Kubernetes Operators
Custom Resource Definitions
Cloud Infrastructure
Go
C++
Active-Active Systems
Failover
Graceful Degradation
Service Security Policies
Certificates
TLS
Mutual TLS
High-QPS Systems
Time To First Token
Tail Latency
Observability
Metrics
Logging
Tracing
Alerting
SLOs
Incident Response
Capacity Planning
CI/CD
Machine Learning Inference
Model Serving
GPU-Accelerated Workloads

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