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: 1,540
Employers: 550

Advertised starting pay

Average starting payCAD / year: $119,424Across 161 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%752 listings
On-site: 50%770 listings

Not specified: 1% (18 listings)

Employers hiring include Amazon (50), Okta (44), Scotiabank (31).

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 3 days ago
C
Consultant, Full Stack Developer
CIBC
Toronto, ON
- Full-time
Added 4 days ago
ES
Python Full Stack Developer
Epsilon Solutions Ltd.
Toronto, ON
- Contract
The ideal candidate will have a strong background in full stack development with hands-on experience in Python, React, and cloud-native technologies. As a Full Stack Developer, you will be…
Added 4 days ago
I
Staff Software Developer (Pre-ID Relo)
Intuit
Toronto, ON
- Full-time
Added 4 days ago
D
Senior Java Software Engineer
Dexian
Mississauga, ON
- Contract
We are seeking an experienced Senior Java Backend Developer with 10+ years of software development experience and strong expertise in Java, Spring Boot, REST APIs, Microservices, and Cloud…
Added 4 days ago
D
Senior Software Engineer
Dexian
Mississauga, ON
- Contract
7-10+ years of experience in application development
Added 4 days ago
FN
Software Test Engineer II
First National Financial LP
Toronto, ON
- Contract
We are hiring IT Software Test Engineer II within our IT Quality Assurance team!
Added 4 days ago
D
Java Software Engineer
Dexian
Mississauga, ON
- $55 to $65 CAD / hour
- Contract
Added 4 days ago
M
RQ00799 - Software Developer - Full Stack - Senior
Maarut
Toronto, ON
- Contract
Added 4 days ago
M
RQ00798 - Software Developer - Full Stack - Senior
Maarut
Toronto, ON
- Contract
Added 4 days ago
FF
Software Engineer Co-op Student (4-months contract)
Foresters Financial
Toronto, ON
- Full-time
The Software Engineer Co-op in IT offers an opportunity to build a wide variety of enterprise applications within a team-based environment. As a co-op student, you will work closely with…
Added 4 days ago
RB
Lead Full Stack Developer
Royal Bank of Canada
Toronto, ON
- Full-time
Added 4 days ago
Full Stack Developer
Corpay
Toronto, ON
Corpay is currently looking to hire a Full Stack Software Developer within our Cross-Border division. This position falls under our Corporate Payments line of business and is located in…
Added 4 days ago
HR
Software Developer - Full Stack
Hire Rightt - Executive Search & HR Advisory
Toronto, ON
- Contract
Position Title: Software Developer - Full Stack
Added 4 days ago
PS
Senior Software Engineer – Full Stack
Publicis Sapient
Toronto, ON
- Full-time
Added 4 days ago
C
Software Developer Embedded Systems II (Co-op) – Canada
Cisco
Toronto, ON
- Full-time
Added 4 days ago
MR
Senior Software Developer / Golang / Tech Company
Motion Recruitment
Toronto, ON
- Full-time
Added 4 days ago
A
Senior Software Developer - Full Stack
Akkodis
Toronto, ON
- Contract
Position: Senior Software Developer - Full Stack
Added 4 days ago
A
Mobile Development Lead
Accenture
Toronto, ON
- Full-time
Added 4 days ago
7
Senior Software Engineer
7shifts
Toronto, ON
- Full-time
As a Senior Software Developer, Mid-Market at 7shifts, you'll
Added 4 days ago
7
Software Engineer
7shifts
Toronto, ON
- Full-time
As an Intermediate Software Developer, Mid-Market at 7shifts,
Added 4 days ago
AM
Silicon Design Infrastructure Hardware/Software Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
Added 4 days ago
AM
Software System Designer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
Added 4 days ago
Software Engineer, GPU Performance
HeyGen
Toronto, ON
Added 4 days ago
A
Mobile Development Lead
Accenture
Toronto, ON
- Full-time
Added 4 days ago
JG
ServiceNow Software Developer - Senior
J&M Group
Toronto, ON
- Full-time
5+ years of hands-on ServiceNow development experience using JavaScript, HTML, CSS, AngularJS, REST/SOAP APIs, Integration Hub, and Flow Designer.

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.

This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

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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