Find work in Canada.

329,777 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Save this search

Added just now
Risk Observability & Analytics Engineer
J&M Group
Montreal, QC
Contract
Core Profile: Senior Analytics/Data Engineer with 5+ years experience, combining Data Engineering, BI, AI, Automation, and Technology Risk.
Added 2 mins ago
Machine Learning Engineer
Dasro Consulting Inc.
Calgary, AB
Contract
Working experience with general Python data packages and building solutions in AWS
Added 33 mins ago
Engineering Co-op Student - January 2027
Hudbay Minerals
Princeton, BC
$65,624 to $68,744 CAD / year
Advancing Your Global Career: Elevate Your Future with Hudbay
Added 33 mins ago
Lead Test Engineer
Genesys
Toronto, ON · ON · AB · BC
Full-time
Strong proficiency in Java or Python, with experience contributing to test automation frameworks
Added 48 mins ago
Senior Python Engineer (AI skills)
Luxoft
Toronto, ON
Contract
…This role is suited for an experienced, self-directed software engineer who can operate with a high degree of autonomy, take ownership of outcomes, solve ambiguous problems, and deliver…
Added 48 mins ago
Data Engineer
SGS Consulting
Canada
Contract
Proficient in Python and SQL, with experience in PostgreSQL
Added 48 mins ago
Principal Engineer, Software Engineering / AI Engineer
Quantum Technology Recruiting Inc. (QTR)
Toronto, ON
$285,000 to $325,000 USD / year
Full-time
- Experience with Java and/or Python; React is highly valuable
Added 1 hour ago
AI/ML Platform Engineer (Cloud Infrastructure)
K&K Global Talent Solutions INC.
ON · Ontario, Canada
Full-time
Programming experience with Python or Go for automation
Added 1 hour ago
Software Engineer II
Socure
Toronto, ON · Greater Toronto Area, Canada
Full-time
Proficiency in at least one modern backend programming language and ecosystem, such as Java, Go, Python, or similar, with comfort working with cloud-native infrastructure, APIs, and data…
Added 1 hour ago
Senior Data Engineer
MatchBox Consulting Group
Vancouver, BC
Contract
MatchBox Consulting Group is currently seeking a Senior Data Engineer for a 6 month contract role with a client of ours located in Vancouver.
Added 1 hour ago
Big Data Engineer
Themesoft Inc.
Toronto, ON
Contract
Work with Parquet, ORC, Avro file formats on HDFS
Added 1 hour ago
Security Research Engineer – AI/ML
BULLTECH SOLUTIONS LTD
Toronto, ON
Full-time
- Strong hands-on software development skills, particularly Python, Java, Node, Go, C/C++ with experience in additional modern programming languages.
Added 1 hour ago
Senior Data Engineer
RAPS Consulting Inc
Mississauga, ON
$110,000 to $120,000 CAD / year
Full-time
We are looking for a Senior Data Engineer to join the Data Sourcing and Analytics team and support the design, development, and enhancement of enterprise data solutions across modern cloud…
Added 1 hour ago
Platform Engineer - AI/ML Infrastructure
K&K Global Talent Solutions INC.
Toronto, ON
$110,000 to $120,000 CAD / year
Full-time
Position: Platform Engineer - AI/ML Infrastructure
Added 1 hour ago
Software Engineer
ResMed
Halifax, NS · CA Canada (ResMed Halifax)
Full-time
At Resmed, technology has a direct impact on people's lives. As a Software Engineer within our Digital Product Engineering team, you'll help build and evolve the cloud-based platforms and…
Added 1 hour ago
Security Researcher Engineer
Zodiac Solutions, Inc
Toronto, ON
Full-time
- Strong hands-on software development skills, particularly Python, Java, Node, Go, C/C++ with experience in additional modern programming languages.
Added 1 hour ago
Senior Software Engineer, Machine Learning
Chorus
Toronto, ON
Full-time
Reports to: Technical CEO, working directly with our Founding Engineer and Founding Data Scientist
Added 1 hour ago
Senior Data Engineer
Ipsos
Canada
We’re looking for someone with a deep interest and expertise in data engineering and the dedication to apply that passion. We need someone with the technical expertise to expand and…
Added 1 hour ago
Senior Data Engineer
Extendicare
Markham, ON · Extendicare (Canada) Inc (Steeles Ave.)
Full-time
Advanced experience with Microsoft SQLrver, SSIS, Python, and ETL development methodologies.
Added 1 hour ago
Technology Analyst - Databricks Developer
Infosys
ON
Infosys is seeking an Technology Analyst - Azure Databricks - Data Engineer.
Added 2 hours ago
Senior DevSecOps Engineer
Tata Consultancy Services
Toronto, ON
$90,000 to $110,000 CAD / year
Full-time
…clients, investors, employees, and the communities it serves. With a highly skilled workforce supporting customers from coast to coast, TCS has consistently been recognized as a Top…
Added 2 hours ago
Principal Python Engineer (AI Experience REQUIRED)
Luxoft
Toronto, ON
Full-time
…This role is suited for an experienced, self-directed software engineer who can operate with a high degree of autonomy, take ownership of outcomes, solve ambiguous problems, and deliver…
Added 2 hours ago
Data Engineer
Tata Consultancy Services
Toronto, ON
$90,000 to $110,000 CAD / year
Full-time
Experience with Python or scripting for data transformation and automation.
Added 2 hours ago
Platform Engineer - AI/ML Infrastructure
Tata Consultancy Services
Toronto, ON
$90,000 to $110,000 CAD / year
Full-time
…clients, investors, employees, and the communities it serves. With a highly skilled workforce supporting customers from coast to coast, TCS has consistently been recognized as a Top…
Added 2 hours ago
Cloud Platform Engineer
EQ Bank
Toronto, ON
Full-time
The Cloud Platform Engineer is responsible for all aspects of our Kubernetes and Docker containers. He/she will be responsible for production support, administration, testing, and…

Socure

Software Engineer II

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

Job type: Full-time
Apply by: Oct 22, 2026
Posting language: English
Posted: Sep 22, 2026

Apply About employer

Applications open in a new tab.

Original job description

Why Socure?

Socure is building the identity trust infrastructure for the digital economy - verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.

We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself - keep reading.

About the Role

The Agentic AI Foundations team is building the core platform, systems, and primitives that enable Socure to transition from traditional software workflows to agent-native operations. As a Software Engineer II on the team, you will help design, build, and harden a secure, evaluable, vendor-agnostic agent platform that teams across Socure can build on, working alongside senior and staff engineers who set the architectural direction.

This is a hands-on, zero-to-one team, and you’ll get outsized exposure to how agentic systems are architected and operated in production. You’ll bring strong foundational knowledge of LLMs, agentic AI, and GPU/model serving through academic, research, professional, open-source, or other relevant experience, and grow into greater ownership as you build alongside senior engineers on the team.

What You’ll Do

Build components of a vendor-agnostic agent platform - including orchestration, tool use, memory, and runtime systems - under the guidance of senior engineers on the team.
Implement evaluation and reliability tooling, including metrics, harnesses, and pipelines, to measure and improve agent performance, robustness, and safety in production.
Help implement safety and governance controls, including guardrails, policy enforcement, and human-in-the-loop review mechanisms.
Build data grounding, retrieval, and memory components that keep agents accurate, context-aware, and aligned with Socure’s domain knowledge and policies.
Prototype and iterate on agent behaviors, including planning, multi-step execution, and coordination of tools and services, using real internal workflows as proving grounds.
Partner with product and engineering teams to implement agent-powered workflows using the platform primitives the team builds.
Apply and help refine documented best practices and design patterns for secure, observable, and scalable agent systems.
Bring strong foundational knowledge of LLMs, GPU computing, and model serving to technical discussions and implementation decisions.

What You’ll Bring

Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Machine Learning/AI, or a related field from top tier institutions, or equivalent practical experience demonstrating strong foundations in computer science and machine learning.
2+ years of professional software engineering experience, with demonstrated experience in distributed systems, backend platforms, infrastructure, or comparable technical environments.
Very strong foundational knowledge of large language models and agentic AI systems, including architectures, prompting and orchestration patterns, tool use, and evaluation approaches.
Strong foundational understanding of GPU computing and model-serving infrastructure, such as CUDA, vLLM, Ollama, LLMLite, TensorRT-LLM, Triton Inference Server, or similar technologies, including the performance and cost trade-offs associated with serving LLMs at scale.
Solid grounding in distributed systems fundamentals, including concurrency, fault tolerance, observability, and performance.
Proficiency in at least one modern backend programming language and ecosystem, such as Java, Go, Python, or similar, with comfort working with cloud-native infrastructure, APIs, and data services.
Ability to work productively in ambiguous, early-stage problem spaces with guidance from senior engineers, translating direction into working software.
A track record of strong technical performance demonstrated through professional impact, research, challenging technical projects, open-source contributions, internships, or other relevant work.
Strong collaboration and communication skills, with comfort working alongside cross-functional partners such as product, data science, platform, and security.

Preferred Qualifications

Experience with multi-agent systems, workflow orchestration, or distributed coordination frameworks through professional work, research, coursework, or technical projects.
Experience building or using agent platforms - such as orchestration frameworks, tool registries, or memory systems - or LLM routing, caching, or fine-tuning pipelines through professional work, research, internships, open-source contributions, or personal projects.
Exposure to evaluation frameworks, experimentation platforms, or ML systems, such as offline/online evaluations, A/B testing, or agent and model benchmarking.
Experience with AI safety, security, or policy systems - including guardrails, policy engines, content filters, or responsible AI frameworks - through professional work, research, coursework, or technical projects.
Experience with retrieval systems, knowledge graphs, or data platforms used to ground LLMs and agents in enterprise contexts.
Demonstrated depth in ML systems or LLM infrastructure through professional impact, research, publications, technical projects, competition results, open-source contributions, or comparable experience.

Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

If you need an accommodation during any stage of the application or hiring process - including interview or onboarding support - please reach out to your Socure recruiting partner directly.

Apply About employer

More about this job

Responsibilities

You will design, build, and harden a secure, vendor-agnostic agent platform while implementing evaluation and reliability tooling for production systems. Additionally, you will collaborate with cross-functional teams to integrate agent-powered workflows and refine best practices for scalable agent systems.

Requirements

Candidates must have a bachelor's or master's degree in a technical field and at least 2 years of professional software engineering experience. Strong foundational knowledge in LLMs, GPU computing, and distributed systems is required to succeed in this role.

Skills

Software Engineering
Large Language Models
Agentic AI
Distributed Systems
GPU Computing
Python
Java
Go
Model Serving
Orchestration
Data Grounding
Cloud-native Infrastructure
API Development
Machine Learning
System Architecture
Reliability Engineering

Visa sponsorship

Not detected in the job text

Keywords

Software Engineer
Agentic AI
LLM
Distributed Systems
GPU
CUDA
vLLM
Ollama
TensorRT-LLM
Triton Inference Server
Orchestration
Backend Development
Cloud-native
API
Machine Learning
Data Grounding
Retrieval Systems
Knowledge Graphs
AI Safety
Governance
Scalability
Observability
Fault Tolerance
Concurrency
Identity Trust
Fraud Prevention
Software Development
Infrastructure
Platform Engineering
Prototyping

Report this job