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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 5 months ago
O
Senior Software Developer, DevOps & Infrastructure
OSEDEA
Montreal, Quebec
- Full-time
As a Senior Software Developer with strong Cloud, DevOps, and infrastructure experience, you design, build, and deliver robust software solutions, architectures, and infrastructure for our…
Added 5 months ago
PI
Senior Web Developer
Pala Interactive
Toronto, Ontario
- Full-time
The Senior Frontend Developer / Senior Web Developer will have primary responsibility for designing and implementing mobile gaming applications on an open source Linux platform using HTML5,…
Added 5 months ago
C
Fullstack Integration Developer Vice President
Citi
Mississauga, ON
- Full-time
Full-Stack Development: Strong Java expertise, full-stack development experience, working knowledge of Oracle Database, and proficiency in modern frontend technologies (HTML, CSS,…
Added 5 months ago
C
Fullstack Integration Developer Vice President
Citi
Mississauga, Ontario
- Full-time
Full-Stack Development: Strong Java expertise, full-stack development experience, working knowledge of Oracle Database, and proficiency in modern frontend technologies (HTML, CSS,…
Added 2 months ago
Senior Software Engineer, Full Stack
Brex
Vancouver, British Columbia
As a Senior Full-Stack Software Engineer on our Task Workflows Platform team, you will build and scale the foundational infrastructure that powers core experiences across Brex. You will…
Added 1 month ago
Senior Software Engineer
Evismart
Vancouver, BC
Strong command of at least one major stack Python, Node.js/React, Java/Spring, or Go. We use Python, Node.js, React.
Added 1 month ago
Senior Software Engineer - Retailer Experience & Growth - Fullstack, Backend or Frontend
Faire
Toronto, ON · Kitchener, ON
As a Senior Engineer on our Growth team, you'll build products and experiments that directly influence how retailers discover, adopt, and engage with Faire. Your work will sit at the…
Added 1 month ago
Staff Back End Engineer (Applications)
Forma.ai
Toronto, ON
…join our application teams. You’ll work alongside other staff, senior, and early-career engineers to define, evolve, and scale the systems that power enterprise-grade product workflows.…
Added 1 month ago
Senior Staff Backline Engineer - Data & AI
Databricks
Vancouver, BC
Architectural Optimization: Optimise architectural performance across the Data and AI stack by refining execution parameters and enforcing best practice strategies to maximise resource…
Added 1 month ago
R
Developpeur SAP ABAP en chef | Lead SAP ABAP Dev
RTX
Longueuil, QC
- Full-time
Diplôme universitaire avec un minimum de 10 ans d’expérience en tant que développeur senior, avec des connaissances dans les activités SAP Basis et SAP Security.
Added 1 month ago
FG
Lead Software Engineer, Full-Stack Applications - Ratings Technology
Fitch Group
Toronto, ON
- $160,000 to $200,000 CAD / year
Deliver technical excellence and build game-changing solutions – Design robust, scalable full-stack applications using Java/Springboot, C#/.NET, Python and REACT, drive architectural…
Added 1 month ago
Senior Software Engineer - Fullstack
Databricks
Vancouver, BC
…for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You'll set the foundation for how we build…
Added 1 month ago
Senior Software Engineer - Backend
Databricks
Vancouver, BC
…building involve exciting technical challenges across the entire…

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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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