Montréal, Qc Developer, full stack (client experience) Jobs – 74 Openings This Week

Staff Data Platform Engineer
OXIO —Montréal, QC
- Full-time
- Hybrid work
- SQL
- AWS
- APIs
Applied AI Engineer
Bounteous —Montréal, QC
- Full-time
- Java
- AI
- Python
Senior Software Developer, DevOps & Infrastructure
OSEDEA —Montréal, QC
- Full-time
- Hybrid work
- Azure
- DevOps
- Engineering
- Flexible schedule
Senior Software Developer
OSEDEA —Montréal, QC
- Full-time
- Hybrid work
- Microsoft Excel
- Azure
- Java
- Flexible schedule
Lead Software Developer
OSEDEA —Montréal, QC
- Full-time
- Hybrid work
- Azure
- Java
- Master's degree
- Flexible schedule
Senior AI Developer
OSEDEA —Montréal, QC
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
- Flexible schedule
Tech Lead - Commodities Technology (Hybrid)
Morgan Stanley —Montréal, QC
- Full-time
- Hybrid work
- Bilingual
- DevOps
- English
AI Deployment Strategist
Mistral AI —Montréal, QC
- Full-time
- Computer Science
- Sales
- JavaScript
7d
Integrations Consultant
MaintainX —Montréal, QC
- Full-time
- Hybrid work
- Oracle
- Computer Science
- Engineering
- Dental care
- Paid time off
Quick apply
Applied AI Engineer, CyberSecurity - Montreal
Mistral AI —Montréal, QC
- Full-time
- AI
- Communication skills
2d
Senior Integrations Consultant
MaintainX —Montréal, QC
- Full-time
- Hybrid work
- Oracle
- Computer Science
- Engineering
- Dental care
- Paid time off
Quick apply
Software Engineering Lead – Data & Analytics Platforms (Hybrid)
Morgan Stanley —Montréal, QC
- Full-time
- Hybrid work
- Bilingual
- English
- Java
Senior Software Developer, Data & MLOps
OSEDEA —Montréal, QC
- Full-time
- Hybrid work
- Azure
- Java
- AWS
- Flexible schedule
Application Production Support Specialist
BNP Paribas —Montréal, QC
- Weekends as needed
- Hybrid work
- Bilingual
- Computer Science
- English
Senior DevOps Engineer
Royal Bank of Canada —Montréal, QC
- Full-time
- DevOps
- IT
- AI
Senior Backend Developer (Java)
Royal Bank of Canada —Montréal, QC
- Full-time
- Azure
- Computer Science
- DevOps
Lead Quantitative Snowflake Developer
TS Imagine —Montréal, QC
- Master's degree
- SQL
- No university degree
Quick apply
9d
Pentester, Offensive Forward Deployment Engineer - Montreal
Mistral AI —Montréal, QC
- Full-time
- Azure
- AWS
- AI
2d
Shopify Practice Director
Valtech Group —Montréal, QC
- Full-time
- Azure
- Oracle
- PMP
- Profit sharing
- Employee assistance program

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developer, full stack (client experience) jobs near montréal, qc

Staff Data Platform Engineer

OXIO -
Montréal, QC

Apply Now

Job details

Full-time

Qualifications

Power BI
Go
React
Kubernetes
Spark
Tableau
Microservices
SQL
AWS
Scala
Terraform
REST
APIs
Kafka
Metadata
Data visualization
AI
gRPC
Leadership
Communication skills
Python

Full job description

Location

Remote; Canada; Montreal Office; New York City Office

Employment Type

Full time

Location Type

Hybrid

Department

Engineering

Staff Data Platform Engineer

OXIO is the world’s first telecom-as-a-service (TaaS) platform. We are democratizing telecom and making it easily accessible for brands and enterprises to fully own and operate proprietary mobile networks designed to support their own customers needs. Our TaaS solution combines multiple existing networks into one single platform that can be seamlessly managed in the cloud as a modern SaaS offering. And it gets better - with full network access comes unparalleled business intelligence and insights to help enterprises better understand customer and machine (M2M) behavior. With a continuous focus on innovation, any company can build a powerful telecom presence with OXIO, and in addition help them glean unique customer insights like never before.

Job Description:

We’re seeking a seasoned Staff Data Engineer to lead the design, development, and scaling of our modern data platform. This role is ideal for someone who thrives in building and designing robust data systems. You’ll be instrumental in shaping our data infrastructure, driving governance, and building scalable APIs that power real-time and batch analytics.

You will also play a pivotal role in evaluating, designing, and migrating our organization toward a North Star data architecture—a future-proof foundation that supports scalable, secure, and intelligent data operations across the enterprise.

This role supports a wide range of analytics use cases across telecom networking, product intelligence, financial reporting, and internal/external data insights. You’ll help build a comprehensive Customer 360 platform powered by ML models and behavioral data, enabling advanced use cases such as fraud detection, brand intelligence, and personalized customer engagement.

Key Responsibilities

Architect, build, and scale a unified data platform integrating internal and external sources into data lakes and warehouses
Design and implement streaming and batch data pipelines using tools like Spark, Airflow, and DBT
Lead infrastructure provisioning using Terraform and Kubernetes, ensuring scalable and secure deployments
Evaluate and drive the migration to our North Star data architecture, aligning platform capabilities with long-term business goals
Collaborate with cross-functional teams to define logging standards, data contracts, and consumption patterns
Drive best practices in data governance, privacy compliance (GDPR, CCPA), and metadata management
Build APIs and data services to support real-time activation and client-facing data sharing
Participate in strategic architectural decisions and long-term data roadmap planning
Evangelize modern data Platform & engineering practices across the organization
Mentor junior engineers and contribute to hiring and team growth

Required Qualifications:

15+ years of experience in software engineering with a strong focus on data systems and platform architecture
10+ years of experience building data solutions using data lakehouse architectures and self-serve data platforms that empower scalable analytics across teams
10+ years of hands-on programming experience with Scala, Go, Python, and SQL, building robust, high-performance data systems
5+ years of experience building scalable data solutions using Python, Spark, and Terraform
Proven experience building serverless and scalable ML infrastructure to support large-scale data processing, ideally in telecom or similarly high-throughput environments
Deep expertise in cloud-native data stacks (AWS, Databricks, Snowflake, BigQuery, Synapse)
Strong understanding of microservices architecture, event-driven systems (Kafka), and container orchestration (Kubernetes)
Experience building operational tools and defining best practices to improve operational efficiency and developer experience—including evaluating and adopting AI-based tools for engineering productivity
Experience with orchestration tools like Airflow or Prefect and transformation tools like DBT
Proficient in building and scaling APIs (REST/gRPC) for data access and activation
Familiarity with front-end technologies and frameworks (e.g., React) is a plus
Built distributed Kafka pub/sub model for data ingestion pipeline with queue workers deployed on AWS ECS
Automated monitoring, disaster recovery, CI/CD supported with filebeat/cloudwatch serverless monitoring
Hands-on experience with data visualization and BI tools (Tableau, PowerBI, Cibe.dev)
Strong grasp of data governance, compliance frameworks, and secure data sharing practices
Experience applying AI/ML and LLMs to data products and predictive analytics
Exceptional communication and leadership skills in fast-paced environments

What We Offer:

Competitive salary and stock option incentive program
Company paid healthcare
Flexible work arrangements
Company sponsored team-lunches and company retreats
International organization that enables you to work across boundaries, travel to different locations, and enjoy the dynamics of a rapidly growing startup
A diverse and inclusive team.
We welcome applicants from all backgrounds to apply regardless of race, ethnicity, age, disability status or other defining characteristics.

OXIO is committed to fostering a diverse, equitable, and inclusive workplace where all employees feel valued and empowered. We believe that diversity in all its forms drives innovation and creativity, and we strive to create an environment that reflects and celebrates the unique backgrounds, perspectives, and talents of our employees. We do not discriminate against any employee or applicant for employment based on race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable federal, state, or local law. We are dedicated to providing a work environment free from discrimination and harassment. We committed to ensuring that all qualified applicants have an equal opportunity to apply for job openings. If you need assistance or an accommodation due to a disability, please contact us at [email protected] for more information.

Apply Now

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developer, full stack (client experience) jobs in montréal, qc

Staff Data Platform Engineer

Applied AI Engineer

Senior Software Developer, DevOps & Infrastructure

Senior Software Developer

Lead Software Developer

Senior AI Developer

Tech Lead - Commodities Technology (Hybrid)

AI Deployment Strategist

Integrations Consultant

Applied AI Engineer, CyberSecurity - Montreal

Senior Integrations Consultant

Software Engineering Lead – Data & Analytics Platforms (Hybrid)

Senior Software Developer, Data & MLOps

Application Production Support Specialist

Senior DevOps Engineer

Senior Backend Developer (Java)

Lead Quantitative Snowflake Developer

Pentester, Offensive Forward Deployment Engineer - Montreal

Shopify Practice Director

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