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Python Engineer Jobs in Montreal, QC (NOW HIRING)

Montreal, Quebec - Onsite Work Required We are looking for a Python/Data Software Engineer with a focus on building and maintaining complex data pipelines and tooling within our global financial ...

Levio is currently seeking a Python Developer to contribute to a largescale project based in Montreal in a hybrid work model. ROLE AND RESPONSIBILITIES: * Design, develop and optimize Backend ...

Role Overview We are seeking a Python Developer with experience in pricing models and banking systems to build, enhance, and support applications used for valuation, risk analysis, and trading. The ...

Role Overview We are seeking a Python Developer with experience in pricing models and banking systems to build, enhance, and support applications used for valuation, risk analysis, and trading. The ...

Nous recherchons un developpeur Python specialise en intelligence artificielle generative pour ... Responsabilites Principales : 1. Developpement IA, LLM et prompt engineering: * Concevoir ...

We are seeking a Senior Python Developer with over 7 years of experience to design and build scalable, resilient enterprise applications with a focus on LLM-based AI solutions. Information Security ...

Nous recherchons un developpeur Python specialise en intelligence artificielle generative pour ... Responsabilites Principales : 1. Developpement IA, LLM et prompt engineering: * Concevoir ...

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Python Engineer information

See Montreal, QC salary details

$72.3K

$129.4K

$165.5K

How much do python engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for python engineer in Montreal, QC is $129,355.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,177.00 and $146,087.00 per year, depending on experience, location, and employer.

What Does a Python Engineer Do?

As a Python engineer, your job is to use the Python programming language and develop code for your company. Your duties include creating a new application, integrating Python software with an existing system, or testing existing code to iron out bugs. Most employers hiring for this role have specific goals for projects in mind, and it is your job to turn those goals into reality in the most effective way. You’re also expected to use other programming skills, particularly involving Django, JavaScript, and database architecture.

What are the key skills and qualifications needed to thrive as a Python Engineer, and why are they important?

To thrive as a Python Engineer, you need strong programming skills in Python, a solid understanding of computer science fundamentals, and experience with software development practices, often supported by a relevant degree or certification. Familiarity with frameworks like Django or Flask, version control systems such as Git, and cloud platforms like AWS or Azure are typically required. Excellent problem-solving abilities, attention to detail, and effective communication set top performers apart in this role. These skills and qualities are crucial for building scalable, maintainable code and collaborating efficiently within development teams.

How do Python Engineers typically collaborate with other team members during the software development lifecycle?

Python Engineers work closely with cross-functional teams, including front-end developers, QA testers, product managers, and DevOps specialists. Collaboration often involves participating in code reviews, daily stand-up meetings, and sprint planning sessions to ensure alignment on project goals and technical requirements. Effective communication and using collaborative tools like Git, Jira, and Slack are essential for managing tasks, sharing updates, and resolving issues efficiently. This teamwork-driven environment helps deliver high-quality software and supports continuous learning from peers.

How much does a Python engineer make?

The average salary for a Python engineer varies by experience and location but typically ranges from $80,000 to $130,000 annually. Senior Python developers with specialized skills in frameworks, data analysis, or machine learning can earn higher salaries, especially in competitive markets.

What is the difference between Python Engineer vs Data Scientist?

AspectPython EngineerData Scientist
Required CredentialsBachelor's in CS, Software Engineering, or related; Python proficiencyBachelor's or higher in Data Science, Statistics, or related; Python and analytical skills
Work EnvironmentSoftware development teams, coding, testing, deploymentData analysis, modeling, visualization, research
Employer & Industry UsageTech companies, startups, software firmsFinance, healthcare, e-commerce, research institutions
Common Search & ComparisonYesYes

Python Engineers focus on developing and maintaining software applications using Python, while Data Scientists analyze data to extract insights, often using Python for data manipulation and modeling. Both roles require Python skills but serve different primary functions within organizations.

What are the most commonly searched types of Python Engineer jobs in Montreal, QC? The most popular types of Python Engineer jobs in Montreal, QC are:
What job categories do people searching Python Engineer jobs in Montreal, QC look for? The top searched job categories for Python Engineer jobs in Montreal, QC are:

Ingenieur logiciel Python /Python Software Engineer

Explorance

Montreal, QC

Full-time

Posted 27 days ago


Job description

Rejoignez une entreprise dont le siege social est a Montreal et qui aide des organisations du monde entier a creer des parcours personnalises d'impact et d'epanouissement pour leurs employes. Chez Explorance, nous croyons que chaque experience compte. Grace a des solutions novatrices en analytique de la retroaction (Feedback Analytics), nous permettons aux organisations de mieux ecouter, d'agir plus rapidement et de generer un changement significatif.

A titre d'Ingenieure senior Python et systemes ML, vous jouerez un role cle dans la conception, la maintenance et la mise a l'echelle des applications Python et des systemes d'inference en apprentissage automatique qui soutiennent notre plateforme. Vous travaillerez en etroite collaboration avec les equipes ML, plateforme et DevOps afin d'assurer que nos systemes soient fiables, performants et prets a soutenir a la fois les produits actuels et les initiatives emergentes.

Roles et responsabilites

  • Concevoir, developper et maintenir des applications et services Python
  • Developper et ameliorer les pipelines d'inference ML et les systemes de soutien
  • Mettre en uvre des composants de qualite production en tenant compte de la robustesse, de la performance et de la maintenabilite
  • Traduire des specifications et des exigences en code fiable et bien teste
  • Concevoir et maintenir des API internes et des bibliotheques Python partagees
  • Soutenir les systemes bases sur les LLM lorsque pertinent, incluant l'integration, la validation et les mecanismes de protection operationnelle
  • Diagnostiquer et resoudre des incidents dans les systemes en production
  • Collaborer avec les equipes plateforme, ML et DevOps sur le deploiement et la fiabilite des systemes
  • Participer aux revues de code et offrir un encadrement technique aux developpeures juniors et intermediaires
  • Prendre en charge des mandats dont les exigences peuvent evoluer ou etre initialement ambigues

Qualifications requises

  • Solide experience professionnelle dans le developpement et la maintenance d'applications Python
  • Experience avec des systemes en production, incluant le debogage et le soutien operationnel
  • Bonne maitrise des principes fondamentaux du genie logiciel (tests, controle de versions, qualite du code)
  • Experience dans l'integration de modeles ML ou de services d'inference dans des applications
  • Connaissance des bases de donnees relationnelles telles que PostgreSQL ou MSSQL
  • Experience avec le traitement asynchrone ou les files de messages (ex. RabbitMQ)
  • Experience avec des infrastructures infonuagiques ou sur site (ex. Azure, Proxmox)
  • Experience avec des outils de surveillance et d'observabilite (ex. Grafana)
  • Aisance a travailler sur des plateformes ou des bases de code partagees
  • Experience dans la maintenance ou l'evolution de systemes d'inference ML existants
  • Familiarite avec PyTorch ou d'autres frameworks d'apprentissage automatique
  • Experience avec des systemes bases sur les LLM en environnement de production

Responsabilite et impact

  • Assumer la responsabilite de la fiabilite et de l'evolution des applications Python et des systemes d'inference ML
  • Reduire la dette technique en ameliorant les systemes existants plutot qu'en les remplacant
  • Permettre a l'equipe de repondre efficacement a des besoins techniques nouveaux, emergents ou encore mal definis
  • Fournir une base d'ingenierie stable soutenant a la fois les produits actuels et les initiatives futures

Exigences academiques

  • Baccalaureat en informatique, en technologies de l'information ou dans un domaine connexe
  • Ou experience professionnelle equivalente (generalement 5 ans ou plus dans un role pertinent)

Autres exigences

Ce poste s'adresse aux candidates residant a Montreal ou dans les environs et souhaitant evoluer dans une culture de travail dynamique, collaborative et majoritairement en presentiel.

Chez Explorance, l'inclusion est au cur de nos valeurs et guide nos actions au quotidien. Nous placons l'humain au centre de tout ce que nous faisons et sommes fiers de notre authenticite et de notre culture inclusive. Nous encourageons les personnes de toute race, religion, origine ethnique, identite de genre, orientation sexuelle, age, statut d'immigration, situation de handicap ou toute autre caracteristique protegee par la loi a postuler.

Les decisions liees a l'emploi sont prises sans egard a ces caracteristiques, et toute offre d'emploi est conditionnelle a la reussite des verifications d'antecedents et de references.

A propos d'Explorance

Explorance permet aux organisations d'exploiter l'analytique de retroaction de nouvelle generation afin d'accelerer le passage de l'analyse a l'action, guidee par notre philosophie Feedback for the Brave . Forte de plus de 20 ans d'expertise, Explorance est membre du Forum economique mondial et partenaire de confiance de 35 % des entreprises du Fortune 100 ainsi que de 25 % des plus grandes institutions d'enseignement superieur au monde.

Nos solutions primees - dont Blue, Metrics That Matter et MLY - ont eu un impact sur plus de 25 millions de personnes a l'echelle mondiale. Regulierement reconnue comme un employeur de choix par Great Place to Work, laureate d'un prix Brandon Hall AI et doublement reconnue comme leader mondial du marche de la retroaction a 360 degres par Fortune Business Insights, Explorance continue de se distinguer par sa mission, son innovation et son humanite.

Visitez explorance.com ou suivez-nous sur LinkedIn, Facebook et X.


***


Join a Montrealheadquartered company that helps organizations around the world create a personalized journey of impact and fulfillment for their people. At Explorance, we believe that every experience matters. Through innovative Feedback Analytics, we empower organizations to listen better, act faster, and create meaningful change.

As a Senior Python & ML Systems Engineer, you will play a key role in building, maintaining, and scaling the Python applications and machinelearning inference systems that power our platform. You will work closely with ML, platform, and DevOps teams to ensure our systems are reliable, performant, and ready to support both current products and emerging initiatives.


Roles and Responsibilities

  • Design, implement, and maintain Python applications and services
  • Develop and improve ML inference pipelines and supporting systems
  • Implement production-grade components with attention to robustness, performance, and maintainability
  • Translate specifications and requirements into reliable, well-tested code
  • Build and maintain internal APIs and shared Python libraries
  • Support LLM-based systems where applicable, including integration, validation, and operational safeguards
  • Diagnose and resolve issues in production systems
  • Collaborate with platform, ML, and DevOps teams on deployment and system reliability
  • Contribute to code reviews and provide technical guidance to junior and intermediate developers
  • Take ownership of tasks with evolving or initially unclear requirements

Required Qualifications

  • Strong professional experience building and maintaining Python applications
  • Experience working with production systems, including debugging and operational support
  • Solid understanding of software engineering fundamentals (testing, version control, code quality)
  • Experience integrating ML models or inference services into applications
  • Familiarity with relational databases such as Postgres or MSSQL
  • Experience working with asynchronous processing or message queues (e.g., RabbitMQ)
  • Experience with cloud or on-prem infrastructure (e.g., Azure, Proxmox)
  • Experience with monitoring and observability tools (e.g., Grafana)
  • Comfort working on a platform or shared-services codebase
  • Experience maintaining or evolving existing ML inference systems
  • Familiarity with PyTorch or other ML frameworks
  • Exposure to LLM-based systems in production environments

Ownership & Impact

  • Own the reliability and evolution of Python application and ML inference systems
  • Reduce technical debt by improving existing systems rather than replacing them
  • Enable the team to respond effectively to new, undefined, or emerging engineering needs
  • Provide a stable engineering foundation that supports both current products and future initiatives

Academic Requirements

  • Bachelor's degree in Computer Science, Information Technology, or a related field
  • Alternatively, equivalent professional experience (typically 5+ years in a relevant role)

Other Requirements

This role is open to candidates based in Montreal or the surrounding area who are interested in being part of a vibrant, collaborative, and primarily inoffice culture.

At Explorance, we take inclusion to heart and live it each day. We put the human first in everything we do and take pride in our authenticity and culture of inclusion. We encourage candidates of any race, religion, ethnicity, gender identity, sexual orientation, age, immigration status, disability, or other legally protected characteristics to apply.

Employment decisions are made without regard to these characteristics, and all offers of employment are contingent upon the successful completion of background and reference checks.

About Explorance

Explorance empowers organizations with nextgeneration feedback analytics to accelerate the insighttoaction cycle, guided by our philosophy of Feedback for the Brave. With over 20 years of expertise, Explorance is a member of the World Economic Forum and a trusted partner to 35% of Fortune 100 companies and 25% of the world's top highereducation institutions.

Our awardwinning solutions-including Blue, Metrics That Matter, and MLY-have impacted more than 25 million individuals worldwide. Consistently recognized as a top employer by Great Place to Work, a Brandon Hall AI Award winner, and a twotime Global Leader in the 360degree feedback market by Fortune Business Insights, Explorance continues to lead with purpose, innovation, and heart.

Visit explorance.com or connect with us on LinkedIn, Facebook, and X.