Publié il y a 15 jours
Lead Software Engineer (Bilingual, Montreal)
@ Lisplogics
Montréal, Québec
En bref
Lisplogics is hiring a Lead Software Engineer in Montreal to build back-end systems for real-time optimization platforms and to lead a small technical team. The role is full-time and hybrid, currently remote with a future requirement of at least 3 office days, and includes occasional client site visits. Base salary is $120,000 to $160,000 CAD depending on experience.
Responsabilités :
- Design and maintain back-end systems for real-time optimization platforms
- Turn operations research models into production services
- Meet clients in French to scope solutions and present results
- Set engineering standards, review code and mentor the team
- Own performance, scalability, security and observability
Résumé des exigences :
- 5+ years building production back-end systems
- Experience leading a technical team or project
- Fluent French and professional English
- Strong CS foundation and quantitative background
- Bachelor's or Master's in a related field or equivalent experience
Source et dates
Type de source non vérifié · apify-linkedin
- Date publiée par l’employeur
- 2026-10-26
- Première détection par notre source
- 2026-11-10
- Mise à jour du dossier source
- 2026-11-10
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Chef d’équipe |
| Domaine | Développement logiciel |
| Expérience | 5 an(s) et plus |
| Gestion d’équipe | Oui |
| Heures par semaine | 40 (estimé) |
| Déplacements | avion : aucun · route : minimes |
| Milieu de travail | Domicile, Bureau, Chez les clients |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English, French |
| Formation | Baccalauréat (préféré), Maîtrise (préféré) |
| Domaines d’études | Computer Science, Mathematics, Statistics, Software Engineering |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Lisplogics
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 1 |
Base salary: $120,000 to $160,000 CAD, depending on experience.
About Lisplogics
Lisplogics builds real-time decision systems for operations management. We combine operations research and software engineering to help organizations reduce costs, improve profitability and serve their customers better. We take on ambitious projects. You will work with a young tems of engineers on systems that run real operations every day.
The role
This is a full-time hybrid role in Montreal. You will work remote for the next upcoming months but you ma work from our office at least [3] days eventually. You may also visit client sites as needed.
You will lead our technical team and be the main technical contact for our clients. You will:
- Design, build and maintain the back-end systems behind our real-time optimization platforms
- Work with our engineers to turn operations research models into reliable production services
- Meet clients, in French, to understand their operations, scope solutions and present results
- Set engineering standards, review code and mentor the team
- Own performance, scalability, security and observability of deployed services
- Shape the technical roadmap
- Manage a small team
Requirements
- Live in the Greater Montreal area, or plan to relocate at your own expense before starting, and be available to work.
- Legally authorized to work in Canada (we do not offer visa sponsorship)
- Fluent in French, spoken and written, because you will work directly with Quebec clients
- Professional English, because [your real reason, e.g. some clients, partners and technical documentation are in English]
- [5]+ years building production back-end systems (APIs, microservices, databases)
- Experience leading a technical team or project
- Comfortable presenting to clients and explaining technical choices to non-technical people
- Strong CS foundation: algorithms, data structures, distributed systems
- Strong quantitative background
- Uses modern AI development tools in daily work
- Bachelor’s or Master’s in Computer Science, Mathematics, Statistics, Software Engineering or a related field, or equivalent experience
Asset
- Experience with optimization, operations research or real-time decision systems
Journal
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