Toronto, On Software developer (embedded) Jobs – 101 Openings This Week

Staff Backend Engineer
Boam AI —Toronto, ON
- Full-time
- APIs
- Python
Quick apply
Sr. Director, Engineering Manager- Agent & Supervisor
McKesson —Mississauga, ON
- $151,200–$201,600 a year
- DevOps
- Supervising experience
- No university degree
- Wellness program
- Employee stock purchase plan
SENIOR SYSTEMS INTEGRATOR TECHNOLOGY SERVICES (SAP Development Supervisor)
City of Toronto —Toronto, ON
- $105,241–$160,649 a year
- Overtime
- Computer Science
- DevOps
- Engineering
11d
Senior Cloud Engineer, Infrastructure as Code
Scotiabank —Toronto, ON
- Azure
- DevOps
- Travel
- Tuition reimbursement
Director, AI Native SDLC
Scotiabank —Toronto, ON
- Azure
- DevOps
- JavaScript
- Tuition reimbursement
Senior Engineer, AI Native SDLC
Scotiabank —Toronto, ON
- Azure
- DevOps
- JavaScript
- Tuition reimbursement
12d
Senior Director Engineering, Home Software Applications
Generac Power Systems Inc —Toronto, ON
- $239,000–$323,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Engineering
- Disability insurance
- Dental care
Quick apply

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C# Software Developer
Aumintec Inc. —Richmond Hill, ON
You should have solid experience in software design, development, testing, and debugging. Bachelor of Science degree or higher in Computer Science or related…
$50,000–$100,000 a year
Quick apply
2d
SAP BW/ABAP Software Engineer
Procter & Gamble —Toronto, ON
Préparer la documentation et les présentations destinées à des publics techniques et non techniques, en facilitant le transfert de connaissances et la diffusion…
$121,900–$158,500 a year

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software developer (embedded) jobs near toronto, on

Staff Backend Engineer

Boam AI
Toronto, ON

Quick apply

Job details

Full-time

Qualifications

Data modeling
Distributed systems
Scala
APIs
Python

Full job description

Architect and scale the core systems behind our managed data agents

Boam AI builds managed data solutions that transform messy, unstructured signals from public, private, and proprietary sources into structured, reliable, and always up-to-date intelligence on millions of SMBs and enterprises worldwide. These agentic systems power CRMs, data warehouses, AI products, and mission-critical decisions across the enterprise.

As a Staff Backend Engineer, you will lead the technical direction of our Scala + Python data and agent infrastructure. You’ll own long-term architecture across multiple systems and scale both existing and greenfield services to keep our data fresh, our APIs fast, and customer workflows moving. This is a role for someone who wants to set the bar for technical excellence, mentor other engineers, and take responsibility for hard distributed systems problems with minimal safety nets and a small, senior team.

What You’ll Do

Design and build resilient backend services and APIs
Own high-level system architecture and major technical decisions across multiple systems
Oversee critical data pipelines from ingestion to enrichment to delivery
Architect systems for 100x data growth over the next three years
Lead major cross-team initiatives and complex project delivery end to end
Partner with ML leaders on model integration and agent architecture
Build reliability and test coverage into the code itself with no separate QA layer
Improve performance, scalability, and observability across our stack
Mentor engineers through direction, feedback, and day-to-day support
Raise the engineering bar through design reviews, pairing, and clear technical standards
Optimize for real impact, customer outcomes, and fast iteration over theoretical perfection
Use next-gen AI tools to improve code quality and velocity

You Might Be a Fit If...

8+ years building and operating complex, production backend systems
Deep experience with high-throughput, large distributed systems
Strong experience with Scala, Python, or functional / JVM languages
Comfortable with distributed systems, data modeling, and high-volume pipelines
History of providing technical coaching and direction to senior engineers
Experience introducing new technologies and patterns across the team
Enjoy greenfield work: from first principles design to deploy and monitoring
Thrive without heavy process, QA buffers, or endless safeguards
Ship, measure, refine over over-architecting, build foundations when needed
Motivated by solving real user problems, not just abstract puzzles
Excited to work where AI/ML is deeply embedded in the product, not bolted on

Why Boam AI

Join a no-politics, high-trust, low-ego, and high-talent team
Own mission-critical systems used by top-tier enterprise customers
Work directly with founders and the Head of Engineering on problems that matter
High autonomy, real impact, and clear ownership from day one
Operate at the intersection of AI, data infrastructure, and enterprise workflows
Top-tier compensation with meaningful equity upside
Help build the platform, patterns, and engineering culture you can be proud of

Our Hiring Process

Our process is fast, structured, and transparent, built to respect your time and surface real mutual fit

1. Intro Call

A short conversation to learn more about you, share context on Boam AI and the role, and answer initial questions.

2. Deep Dive

Walk us through past engineering work, systems you’ve led, and how you think about complex, ambiguous backend and architecture problems.

3. Work Sample

Solve a real Boam-style technical and architecture challenge that shows your system design, technical judgment, and execution muscle.

4. Founder / Leadership Conversation

Candid discussion with our founder and Head of Engineering on ambition, values, ownership, and how you’d help us scale the platform and the team.

Quick apply

Refine Your Search

software developer (embedded) jobs in toronto, on

Staff Backend Engineer

Sr. Director, Engineering Manager- Agent & Supervisor

SENIOR SYSTEMS INTEGRATOR TECHNOLOGY SERVICES (SAP Development Supervisor)

Senior Cloud Engineer, Infrastructure as Code

Director, AI Native SDLC

Senior Engineer, AI Native SDLC

Senior Director Engineering, Home Software Applications

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Architect and scale the core systems behind our managed data agents

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