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Added 4 months ago
B
Senior Java Data Engineering Developer
Bounteous
Montreal, Quebec
- Full-time
…a modern, cloud-first data platform built on Databricks and Snowflake. As part of this engagement, consultants will embed directly with the client's engineering team, contributing hands-on…
Added 3 months ago
AI Native Engineer
CookUnity
Toronto, Ontario
Added 4 months ago
HR analytics lead
Sobeys Capital Incorporated or a Franchise/Affiliate / ou une franchise/société affiliée
Calgary, Alberta · Stellarton, Nova Scotia · Mississauga, Ontario
Added 2 months ago
FC
Machine Learning Analyst
Fidelity Canada
Toronto, ON
- Full-time
Work with enterprise data platforms such as Snowflake to prepare, query, transform, and analyze structured and unstructured data for AI/ML and Generative AI use cases.
Added 5 months ago
ST
Technical Product Manager
Sensor Tower
Remote, Canada
- Full-time
- Remote
Familiarity with BI industry players like Snowflake, AWS, Databricks, Tableau, Amplitude, Mixpanel.
Added 6 months ago
ST
Technical Product Manager
Sensor Tower
Remote, Canada
- Full-time
- Remote
Familiarity with BI industry players like Snowflake, AWS, Databricks, Tableau, Amplitude, Mixpanel.
Added 4 months ago
S
Sales Development Representative
Snowflake
Toronto, Ontario
- $50,400 to $66,150 CAD / year
- Full-time
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent…
Added 1 month ago
Engineering Manager – Data Platform, Lakehouse Foundation
Lyft
Toronto, ON
Experience managing data infrastructure or platform teams. Direct experience with lakehouse architectures (Databricks, Snowflake) and modern table formats (Delta, Iceberg, Hudi) strongly…
Added 4 months ago
D
Senior Data Scientist
DAC
Toronto, Ontario
- Full-time
Experience with Snowflake or similar cloud data warehouses
Added 4 months ago
M
Director, Data Science
Mastercard
Toronto, Ontario
- Full-time
Provide hands-on technical leadership in model development, deployment, and governance across cloud environments (Azure, Snowflake, Spark).
Added 5 months ago
PS
Senior Developer, Data Analytics Delivery
Public Sector Pension Investment Board
Montreal, Quebec
- Full-time
As a member of the Data and Analytics Platform delivery team, the Senior Developer, Data Analytics Delivery will ensure that the various business stakeholders’ needs are met while…
Added 5 months ago
NF
Senior/Staff/Principal Software Developer
Neo Financial
Calgary, Alberta
- Full-time
This role is for an experienced developer who has shipped real systems at scale, has strong opinions about how to build them, and is ready to be accountable for what goes live. Our stack is…
Added 5 months ago
IN
Senior Data Engineer
IKO North America
Mississauga, Ontario
- Full-time
Strong foundational knowledge of Data Warehousing and Lakehouse architectures, including star/snowflake schemas, Slowly Changing Dimensions (SCD), and data governance frameworks to ensure…
Added 5 months ago
TA
Sr. Manager / Associate Director - Commercial Data Product (Pharma/ Life science
Tiger Analytics Inc.
Remote, Canada
- Full-time
- Remote
…role will lead a small, dedicated pod to design and build a Snowflake-native, Power BI–aligned data product from the ground up. The position gives an opportunity to focus on data product…
Added 5 months ago
PM
Senior Business Analyst
Picton Mahoney Asset Management
Toronto, ON
- Full-time
…enhancements across Charles River IMS (CRIMS), Bloomberg DL, Snowflake ODS, and other trading and market data systems. You’ll be responsible for translating complex business requirements…
Added 5 months ago
BS
Member of Technical Staff
Beacon Software
Toronto, Ontario
- Full-time
Data platform. The cross-portco data lake on Iceberg with Snowflake or Databricks as the query engine. Per-portco S3 and KMS isolation. The ingestion pipeline from QuickBooks, HubSpot,…
Added 5 months ago
BS
Forward Deployed Engineer
Beacon Software
Toronto, Ontario
- Full-time
Comfort with Iceberg-based data platforms (Snowflake, Databricks) and event-driven systems
Added 5 months ago
IL
Senior Engineer – Digital Distribution & Engagement
Invesco Ltd.
Charlottetown, Prince Edward Island
- Full-time
3–5 years of experience working with Snowflake
Added 4 months ago
IL
Senior Software Quality Engineer
Invesco Ltd.
Charlottetown, Prince Edward Island
- Full-time
Strong Experience on databases including Microsoft SQL, Snowflake, Postgres databases. Including the ability to create stored procedures, views or tables.
Added 1 month ago
IL
Advanced Software Quality Engineer
Invesco Ltd.
Charlottetown, Prince Edward Island
- Full-time
Strong Experience on databases including Microsoft SQL, Snowflake, Postgres databases. Including the ability to create stored procedures, views or tables.
Added 5 months ago
CP
Data Architect | Canada
Cuesta Partners
Remote, Canada
- $180,000 to $225,000 CAD / year
- Full-time
- Remote
Added 5 months ago
O
Senior Software Developer, Data & MLOps
OSEDEA
Montreal, Quebec
- Full-time
As a Senior Software Developer with strong Data Engineering and MLOps experience, you design, build, and deliver robust data and machine learning solutions for our clients. You combine…
Added 6 months ago
CT
Market Data Business Analyst
Confluence Technologies
Canada
- Full-time
Experience with modern data platforms (e.g., Snowflake)
Added 5 months ago
S
Engineering Manager - Bedrock
Snowflake
Remote, Canada
- $291,250 to $341,250 CAD / year
- Full-time
- Remote
The Bedrock AI Platform team is powering systems and services for all our user facing apps including Snowsight, Snowflake Intelligence, and new mobile apps. Our mission is to craft…
Added 6 months ago
A
Staff Product Engineer - Canada
Ashby
Remote, Canada
- $256,000 to $380,000 CAD / year
- Full-time
- Remote
We have notable customers like Notion, Linear, Shopify, and Snowflake. Our growth and retention metrics are best-in-class among our peers: we have tens of millions in ARR, growing >100%…

OSEDEA

Senior Software Developer, Data & MLOps

Montreal, QC, Canada

Full-time

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Job details

Job type: Full-time
Experience: 5+ years of software development experience, including recent hands-on experience with data engineering, MLOps, or production ML systems
Posting language: English
Posted: May 12, 2026

Original job description

Who we are

We’re a thriving and agile tech development firm. People are at the center of everything we do. Simply put, we care. Our team personally cares about our clients and the world around them, and we care about our team’s life-long dreams, aspirations, and career development.

We strongly believe in the power of community. This is why we seek opportunities to build meaningful relationships with everyone around us.

We celebrate diversity in all its forms. Backgrounds, personalities, career paths, languages... you name it. We actively innovate, learn, and share stories around the topic. We want everyone to feel welcomed and included in all we do.

We like having fun and enjoying ourselves. We wake up every day inspired to build a more efficient and enjoyable world.

Role overview

As a Senior Software Developer with strong Data Engineering and MLOps experience, you design, build, and deliver robust data and machine learning solutions for our clients. You combine strong software engineering habits with hands-on experience in data pipelines, cloud environments, automation, model deployment, monitoring, and production-ready ML systems.

You’re comfortable moving between backend development, data engineering, ML lifecycle practices, infrastructure, CI/CD, observability, and technical leadership. You collaborate closely with technical and non-technical teammates, mentor others, and help teams make sound technical decisions as we deliver enterprise-grade AI and data solutions.

The technologies below are a reference point for our stack. Above all, we hire for strong fundamentals, judgment, ownership, and growth potential.

\nYour key responsibilities

Design, build, and deliver scalable software, data, and machine learning solutions for client projects
Identify solutions to cross-functional problems using your software development, data engineering, and MLOps experience
Design, plan, and implement data pipelines, ML workflows, and supporting cloud or on-premise infrastructure
Develop end-to-end solutions aligned with specifications and documentation
Build and improve CI/CD pipelines, data pipelines, model deployment workflows, and automation practices
Contribute to containerized, virtualized, and cloud-native environments that support data and ML workloads
Support modernization initiatives by improving architecture, testing, deployment, observability, data quality, and maintainability
Define, document, and communicate non-functional requirements such as performance, reliability, security, scalability, and maintainability
Support ML lifecycle practices such as experiment tracking, model versioning, validation, deployment, promotion, rollback, and monitoring
Coach colleagues on software development, data engineering, MLOps, and delivery best practices
Take initiative, own deliverables end-to-end, and manage priorities effectively
Uphold and strengthen software development guidelines and quality standards
Research, test, and implement new techniques, tools, and technologies
Advise clients on technical direction, trade-offs, architecture, data platforms, and ML solution design

The ideal candidate

5+ years of software development experience, including recent hands-on experience with data engineering, MLOps, or production ML systems
Bachelor’s degree, college degree, certification in a software-related field, or equivalent experience
Intermediate or conversational French at a minimum
Strong backend development experience
Strong technical judgment and ability to make pragmatic architectural decisions
Experience building or supporting data pipelines, data platforms, or ML deployment workflows
Experience collaborating directly with clients or stakeholders
Ability to mentor teammates and help raise the quality of technical delivery
Comfortable working in ambiguous environments and bringing structure to complex problems

You should be proficient with

At least one major cloud platform such as AWS, Azure, or Google Cloud
At least one major server-side programming language such as Python, Java, Node.js/TypeScript, Go, C#, or similar
At least one major data engineering platform such as Databricks, Snowflake, BigQuery, Microsoft Fabric, or similar
Backend development, API design, and distributed systems
Data pipeline orchestration, version control, data validation, feature pipelines, or feature stores
ML lifecycle practices such as experiment tracking, model versioning, validation, deployment, promotion, rollback, and monitoring
CI/CD pipelines and deployment automation
Infrastructure as code and provisioning tools such as Terraform, CDK, CloudFormation, Bicep, Ansible, or similar
Virtualization and containerization, ideally in a Linux-based ecosystem
Docker and orchestration tools such as Kubernetes or Docker Compose
Microservices, serverless systems, or cloud-native architectures
Monitoring and observability tooling and services
Testing practices such as unit, integration, functional, end-to-end, or load testing
Modern development methodologies such as Agile, Scrum, XP, Kanban, Shape Up, etc.
Cloud cost awareness, calculation, and optimization

It’s a plus if you have experience with

A modern client-side framework/library such as React, Angular, Svelte, Vue, Remix, or similar
Full-stack web development
LLMOps, RAG systems, vector databases, or GenAI application deployment
Edge computing, IoT, robotics, industrial systems, or hardware-adjacent software
Simulation environments or developer tooling that improves delivery speed
In-memory object storage, caching, and queue systems
Event-driven architecture or messaging systems such as MQTT, Kafka, RabbitMQ, Redis, or similar
Hexagonal architecture
Domain-driven design
High-availability systems
Technical leadership in client-facing projects
Application security, networking, identity, or compliance considerations

What we offer

Competitive Salary and contribution to your pension plan (RRSP)
Flexible hours of work and choose how you work
Work from anywhere up to 8 weeks
Paid sabbatical
Wellness and productivity spending account
Parental program
Activities
Training
And more...

The process for this role if you are selected

20 min - Initial introductory call with our technical team

90 min - In-person interview at our office.

Offer presentation

Only considered candidates will be contacted. Read our full hiring process here.

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More about this job

Responsibilities

Design and deliver scalable software, data, and machine learning solutions for clients. This includes building data pipelines, managing the ML lifecycle, and providing technical leadership and mentorship to the team.

Requirements

Requires 5+ years of software development experience with a focus on data engineering and MLOps, along with a degree in a software-related field. Proficiency in a major cloud platform, server-side languages, and intermediate French is required.

Skills

Data Engineering
MLOps
Python
Cloud Platforms
CI/CD
Kubernetes
Docker
API Design
Distributed Systems
Terraform
Model Deployment
Backend Development
Data Pipelines
Observability
Agile
Technical Leadership

Benefits

Competitive Salary
Flexible Hours
Work From Anywhere Up To 8 Weeks
Paid Sabbatical
Wellness And Productivity Spending Account
Parental Program
Activities
Training

Visa sponsorship

Not detected in the job text

Keywords

AWS
Azure
Google Cloud
Python
Java
Node.js
TypeScript
Go
C#
Databricks
Snowflake
BigQuery
Microsoft Fabric
Terraform
CDK
CloudFormation
Bicep
Ansible
Docker
Kubernetes
Microservices
Serverless
LLMOps
RAG
Vector Databases
GenAI
Kafka
RabbitMQ
Redis
Agile

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