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Added 3 mins ago
Senior DevOps Engineer - EA Sports Technology
Electronic Arts
Vancouver, BC
The DevOps team is looking for an experienced DevOps Engineer to join our team. We’re looking for candidates with experience designing, deploying, and operating solutions in a public cloud…
Added 18 mins ago
RD
Senior MLOps & Cloud Engineer (AWS / SageMaker)
Randstad Digital
Toronto, ON · Greater Toronto Area, Canada
- Full-time
This Senior MLOps & Cloud Engineer position exists to bridge machine learning model deployment, data transformation pipelines, and AWS cloud infrastructure. In this hands-on role, you will…
Added 18 mins ago
K
FULLSTACK ENGINEER
Kablamo
Toronto, ON
- Full-time
We are looking for a FullStack Engineer as we expand our impact with new customers. This posting supports the position to start between November 2026 and February 2027.
Added 32 mins ago
RB
Full Stack Engineer
Royal Bank of Canada
Vancouver, BC
- Full-time
As Senior Full Stack Engineer in AI Engineering within US Functions Technology (Finance, Risk, Law & Audit), you will be a hands-on contributor helping modernize how US corporate functions…
Added 47 mins ago
MS
Senior QA Automation Engineer
Motorola Solutions
Vancouver, BC
- Full-time
Software QA at Avigilon Alta is the quality function behind our cloud-managed access control and video security platform - products trusted by enterprise customers to secure their people,…
Added 1 hour ago
L
Network Operations Engineer
Lemon.io
Canada
- Full-time
Currently, we have a few open positions from our client, an AI-native cloud company. AI teams use its platform to run inference on open-source models, fine-tune them and rent large GPU…
Added 1 hour ago
E
Senior Java Full Stack Developer
EngRadar
Ottawa, ON
- Volunteer
We are looking for a Senior Full Stack Developer to design, build and maintain both front-end interfaces and back-end systems, including APIs, microservices, databases and cloud…
Added 1 hour ago
R
Full Stack Engineer
RBC
Vancouver, BC
- Full-time
As Senior Full Stack Engineer in AI Engineering within US Functions Technology (Finance, Risk, Law & Audit), you will be a hands-on contributor helping modernize how US corporate functions…
Added 2 hours ago
HS
Senior Software Engineer
Henry Schein One Canada
Surrey, BC
- $130,000 to $142,000 CAD / year
- Full-time
Our Dentrix Ascend engineering team contributes to the development of Dentrix Ascend, our cloud-based practice management platform used by dental practices across the United States.…
Added 2 hours ago
A
Software Engineer (Python + DevOps)
Apptad
Montreal, QC
- Contract
Job Title: Senior Software Engineer (Python + DevOps)
Added 2 hours ago
EL
Security DevOps Engineer
EnStream LP
Toronto, ON
- Full-time
EnStream is seeking a Security DevOps Engineer to join our team as a full-time, hands-on engineer who splits their time evenly between cloud security and DevOps. Working alongside our…
Added 2 hours ago
ZH
Applied AI Research Scientist
Zepp Health
Vancouver, BC
- Full-time
Powered by its proprietary Zepp Digital Health Management Platform, which includes the Zepp OS, AI chips, biometric sensors, and data algorithms, it delivers cloud-based 24/7 actionable…
Added 3 hours ago
F
Senior DevOps Engineer
Fig
Toronto, ON
- Full-time
Fig is expanding beyond lending and building a new generation of digital banking products. We're hiring a Senior Devops Engineer, reporting to the VP of Engineering, to build and operate…
Added 3 hours ago
F
Senior DevOps Engineer
Fig
Toronto, ON
- Full-time
Fig is expanding beyond lending and building a new generation of digital banking products. We're hiring a Senior Devops Engineer, reporting to the VP of Engineering, to build and operate…
Added 3 hours ago
A
Head of Platform & Infrastructure Engineering
Ashby
Remote, Canada
- $475,000 to $550,000 CAD / year
- Full-time
- Remote
We’ve already assembled a fantastic Platform & Infrastructure team of 11 engineers (all Senior+, >70% Staff), and they’ve done an excellent job handling our growth, but the management and…
Added 3 hours ago
I
Senior Software Engineer, Database
InfluxData
Remote, Canada
- $170,000 to $230,000 CAD / year
- Full-time
- Remote
…data transformation pipelines. This team works alongside our platform team to build a distributed, cloud-native database that is highly available and…
Added 3 hours ago
KI
Senior Product Manager, AI Innovations Team, Operations Orchestration
Kinaxis Inc.
Canada
- Full-time
…supporting the people who manage them. Our powerful, AI infused platform provides full transparency and visibility across end-to-end supply chains, enabling our customers to make faster,…
Added 4 hours ago
F
Senior Platform Engineer
Foresight
Montreal, QC
- $180,000 to $240,000 CAD / year
- Full-time
We're looking for a Senior Platform Engineer to build the cloud foundation that Foresight runs on.
Added 4 hours ago
F
Senior Backend Engineer (TypeScript)
Fig
Toronto, ON
- Full-time
Fig is expanding beyond lending and building a new generation of digital banking products. We're hiring a Senior Backend Engineer, reporting to the Engineering Manager of our digital…
Added 4 hours ago
F
Senior Backend Engineer (TypeScript)
Fig
Toronto, ON
- Full-time
Fig is expanding beyond lending and building a new generation of digital banking products. We're hiring a Senior Backend Engineer, reporting to the Engineering Manager of our digital…
Added 4 hours ago
FW
Senior Platform Engineer
Foresight Works Ltd
Remote, Canada
- $180,000 to $240,000 CAD / year
- Full-time
- Remote
We're looking for a Senior Platform Engineer to build the cloud foundation that Foresight runs on.
Added 4 hours ago
FW
Applied AI Engineer
Foresight Works Ltd
Remote, Canada
- $180,000 to $230,000 CAD / year
- Full-time
- Remote
We're looking for an Applied AI Engineer to help build the core ML engine of the Foresight platform.
Added 4 hours ago
RB
Director & Principal Engineer, AI/ML & MLOps Platform
Royal Bank of Canada
Vancouver, BC
- Full-time
We’re seeking a Director & Principal Engineer, AI/ML & MLOps Platform, who brings a unique blend of deep technical expertise and strategic leadership. This is a hands-on engineering…
Added 4 hours ago
Software Development Engineer III, Intelligent Cloud Hosting (ICON)
Amazon
Vancouver, BC
Do you want to ensure a delightful shopping experience for millions of Amazon.com customers everyday? The Intelligent Cloud Hosting (ICON) team is looking for a Senior Software Development…
Added 4 hours ago
S
Senior Product Security Engineer
Snyk
Ottawa, ON
- $192,000 to $240,000 CAD / year
- Full-time
Snyk's Product Security team works consultatively with the engineering teams that build and run our cloud platform: we identify the security requirements, agree together on what needs to…

Randstad Digital

Senior MLOps & Cloud Engineer (AWS / SageMaker)

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

Full-time

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Job details

Job type: Full-time
Apply by: Dec 6, 2026
Experience: Target benchmark of 7 years in tech/engineering, though strong candidates with 4–5+ years of relevant experience will be fully considered.
Posting language: English
Posted: Nov 6, 2026

Original job description

About our client

Our client is a premier financial services organization that has been helping Canadian investors build better financial futures for over 35 years. As a privately owned company, they boldly embrace innovation across their business while fostering a diverse, supportive, and inclusive culture.

Role Overview

This Senior MLOps & Cloud Engineer position exists to bridge machine learning model deployment, data transformation pipelines, and AWS cloud infrastructure. In this hands-on role, you will take complete ownership of promoting trained ML models into production, configuring batch and real-time inference endpoints, and automating cloud infrastructure across AWS and Snowflake environments. Within your first 3 to 6 months, you will take full technical accountability for end-to-end pipeline delivery, partnering directly with internal business teams and tracking project execution via Jira.

Main Responsibilities

Design, deploy, and operationalize production machine learning models, analytical solutions, and data pipelines on AWS.
Implement and manage end-to-end MLOps workflows using AWS SageMaker, handling model stitching, morning batch inference jobs, and real-time inference endpoints.
Build and automate robust Python and SQL-based data ingestion and transformation pipelines to supply clean data for model training and execution.
Manage and optimize cloud infrastructure, CI/CD pipelines, containerized workloads (such as ECS, EKS, or Snowflake Container Services), and operational runbooks.
Monitor model performance metrics in production to initiate retraining schedules and ensure high solution reliability.
Collaborate directly with internal business partners, Data Scientists, and Machine Learning Analysts to translate requirements into production implementations without requiring dedicated project managers.

Must-have required skills and experience

Education & Career Experience: Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related quantitative field (or equivalent practical experience). Target benchmark of 7 years in tech/engineering, though strong candidates with 4–5+ years of relevant experience will be fully considered.
Core Programming Languages: Strong hands-on proficiency in Python and SQL for data processing, model stitching, and pipeline automation.
MLOps & ML Platform: Proven hands-on experience deploying and operating machine learning pipelines on AWS, with heavy utilization of AWS SageMaker.
Cloud Infrastructure & DevOps: Demonstrated experience with Git, CI/CD automation, containerization (Docker, ECS, or EKS), logging, and cloud infrastructure management.
ML Algorithms: Solid understanding of traditional ML models (clustering, classification, forecasting, XGBoost, CatBoost, ensemble models) and how to evaluate and promote them into production environments.
Communication & Delivery Ownership: Excellent stakeholder management and communication skills, with a track record of partnering directly with business units and self-managing project timelines using Jira.

Nice-to-have skills

Emerging AI Frameworks: Practical experience with AgentOps / LLMOps / AIOps, Generative AI, retrieval-augmented generation (RAG), vector search, or AI Agent implementations.
Snowflake Ecosystem: Exposure to Snowflake data platforms or Snowflake Container Services.
ETL & Data Tools: Familiarity with Informatica Cloud, Databricks, Oracle, Azure Data Factory, Talend, or AWS Glue.
AWS Services & Certifications: Experience with Amazon Bedrock, Lambda, S3, or CloudWatch, or holding relevant AWS/DevOps certifications.

Logistics & Compensation

Location/Work Mode: Flexible Hybrid (2 days/week in-office). Work location is currently in downtown Toronto until late 2026, transitioning to Mississauga. Active Canadian work authorization is required.
Employment Type: Full-time permanent position.
Compensation: Up to $130,000 base salary + 20% annual performance bonus

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More about this job

Responsibilities

Deploy and operate production machine learning models, SageMaker workflows, batch and real-time inference, and Python- and SQL-based data pipelines on AWS. Manage cloud infrastructure, CI/CD, containerized workloads, and production model monitoring while coordinating delivery with business partners and data science teams.

Requirements

A bachelor's degree in a relevant field or equivalent practical experience is required, along with strong Python and SQL skills and hands-on experience deploying machine learning pipelines on AWS SageMaker. Candidates should have experience with cloud infrastructure, CI/CD, containers, traditional ML algorithms, and direct stakeholder collaboration; the target is seven years of experience, with candidates having four to five or more relevant years also considered.

Skills

Python
SQL
AWS SageMaker
MLOps
Machine Learning
AWS Cloud Infrastructure
CI/CD
Git
Docker
ECS
EKS
Snowflake
Data Pipelines
Model Deployment
Jira
Stakeholder Management

Visa sponsorship

Not detected in the job text

Keywords

AWS
AWS SageMaker
Snowflake
Python
SQL
MLOps
Machine Learning
Model Deployment
Batch Inference
Real-Time Inference
Data Ingestion
Data Transformation
Data Pipelines
CI/CD
Git
Docker
ECS
EKS
Snowflake Container Services
Jira
Clustering
Classification
Forecasting
XGBoost
CatBoost
Generative AI
RAG
Vector Search
AWS Lambda
Amazon S3

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