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Added 5 months ago
GE
Senior Java Developer (Future Opportunity)
GFL Environmental Inc.
Vaughan, Ontario
- Full-time
Our GFL team is expanding, and we’re looking for a Senior Java Developer to join us in Vaughan! In this role, you’ll play a vital part in designing and implementing high-quality software…
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
GS
Senior Site Reliability Engineer
Guidewire Software
Remote, Canada
- Full-time
- Remote
You’ve supported web applications in live production environments (Java/Apache/Tomcat) and have a deep understanding of Linux systems, AWS, and container orchestration (Docker,…
Added 5 months ago
A
Field Engineering Co-Op
Acceldata
Kitchener, Ontario
- Internship
Learn how we enable observability across Data, Kubernetes, cloud-native platforms, and Open Source components like spark, hive, kafka etc.
Added 5 months ago
A
Sales Engineering Co-Op
Acceldata
Kitchener, Ontario
- Internship
Collaborate with the sales engineering team to write, test, and deploy software solutions using advanced Java or Scala programming.
Added 5 months ago
I
Senior Site Reliability Engineer
iManage
Toronto, ON
- Full-time
Scaling cloud infrastructure to support our Kubernetes-based ecosystem.
Added 5 months ago
C
Lead Java Developer
Citi
Remote, Canada
- Full-time
- Remote
We are looking for a Java Engineer to design, build, and support modern web APIs. This role focuses on back-end services (Java/Spring Boot), with API-first, microservices-based architecture…
Added 1 month ago
IT Industrial CrossFunction - Full Stack & AI Integration
Amrize
Mississauga, ON · Laval, QC
Support the cloud infrastructure lifecycle for solutions in scope - CI/CD pipelines, containerized deployments (Docker/Kubernetes), infrastructure-as-code (Terraform), and…
Added 5 months ago
C
Lead Java Full Stack Developer
Citi
Mississauga, Ontario
- Full-time
Role Summary: We are looking for a Java Full-Stack Engineer to design, build, and support modern web applications. This role spans front-end development (Angular or React) and back-end…
Added 5 months ago
I
Senior Director, Software Engineering
Infoblox
Burnaby, BC
- Full-time
Knowledge of cloud-based infrastructures - Docker, Kubernetes, and AWS are a big plus
Added 5 months ago
W
(CAN) Solution Consultant II
Walmart
Mississauga, Ontario
- Full-time
Hands-on experience with Google Cloud Platform (GCP) (e.g., Compute, Kubernetes, BigQuery, Storage).
Added 5 months ago
C
Lead Java Full Stack Developer
Citi
Remote, Canada
- Full-time
- Remote
Role Summary: We are looking for a Java Full-Stack Engineer to design, build, and support modern web applications. This role spans front-end development (Angular or React) and back-end…
Added 1 month ago
Software Engineer (Java)
Scotiabank
Toronto, ON
Experience with 2 or more object-oriented programming languages development languages (Java)
Added 2 months ago
Senior Platform Engineer
Scotiabank
Toronto, Ontario
Lead the development and operation of Kubernetes‑based runtime environments for batch and real‑time solutions.
Added 2 months ago
Software Engineer
Scotiabank
Toronto, ON
4+ years’ experience with a modern programming language such as Java or Python or .NET/C#
Added 1 month ago
Lead Software Engineer (Full Stack)
Scotiabank
Toronto, ON
Over 5 years developing enterprise applications in multiple modern languages (Java, Angular, CSS, JavaScript, JQuery, Bootstrap), including microservices architecture and design patterns.
Added 1 month ago
Lead Software Engineer
Scotiabank
Toronto, ON
Independently develop, test, and deploy complex custom components using vendor APIs in Java or relatable technology.
Added 1 month ago
Oracle Senior Platform Specialist
Scotiabank
Toronto, ON
Support containerization initiatives for OBIEE and PeopleSoft, including Docker/Podman setup and Kubernetes orchestration.
Added 1 month ago
Crypto Engineer
Scotiabank
Toronto, ON
Hands-on technical working experience in programming languages such as (by not limited to) Java, bash, and PowerShell.
Added 5 months ago
O
Software Engineer
OSEDEA
Montreal, Quebec
- Full-time
Around 3 years of experience as a software engineer or developer, ideally with several recent projects in modern programming languages such as Python, C#, GoLang, JavaScript/TypeScript or…
Added 1 month ago
Développeur logiciels - Software Developer
OneSpan
Montreal, QC
Programmation et script : Java (de préférence), Python, C#, JavaScript/TypeScript, Bash, Groovy.
Added 5 months ago
TI
Site Reliability Engineer
Tecsys Inc.
Remote, Canada
- Full-time
- Remote
…systems that power our cloud infrastructure across AWS and Kubernetes, with a strong focus on automation, observability, and continuous improvement. This role blends reliability engineering…
Added 6 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 6 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,…

OSEDEA

Senior Software Developer, Data & MLOps

Montreal, QC, Canada

Full-time

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Applications open in a new tab.

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.

Apply About employer

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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