Publié il y a 3 mois
Software Developer - Data Reliability
@ Squarepoint Capital
Montréal, Québec
En bref
Squarepoint Capital is hiring a Software Reliability Engineer for its Data team to build observability, automation, self-serve request tooling and vendor data pipelines. The role covers incident response and reliability of production data systems. Full-time employment.
Responsabilités :
- Build observability and health monitoring platform
- Build job orchestration and operational automation
- Build Jira-driven self-serve request platform
- Onboard vendor datasets and build data pipelines
- Own deployments, capacity planning and incident resolution
Résumé des exigences :
- Bachelor's degree in Computer Science or Engineering
- 4+ years software engineering or reliability experience
- 3+ years Python and Git
- Linux command line and PostgreSQL proficiency
- Excellent communication with global team and vendors
Outils et compétences
Source et dates
Site carrière / système de candidatures · greenhouse
- Date publiée par l’employeur
- 2026-07-28
- Première détection par notre source
- 2026-10-10
- Mise à jour du dossier source
- 2026-10-28
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Intermédiaire |
| Domaine | Développement logiciel |
| Expérience | 4 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Baccalauréat (exigé) |
| Domaines d’études | Computer Science, Engineering |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Squarepoint Capital
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
Description complète de l’entreprise
Squarepoint is a leading global investment management firm that develops quantitative investment strategies to achieve high quality returns for our clients. We are a data and technology driven firm who specialize in developing automated trading systems that execute across global financial markets.
- Abonnés LinkedIn
- 54 397
- Personnes associées sur LinkedIn
- 1 591
- Bureaux déclarés
- 250 W 55th St, New York, NY 10019, US
- One Ropemaker Street, London, United Kingdom EC2Y9AW, GB
- 88 Market Street, Singapore, Singapore 048948, SG
- 1190 Avenue des Canadiens-de-Montréal, Montreal, Quebec H3B0G7, CA
- 16 Avenue Matignon, Paris, France 75008, FR
- Quai du Mont Blanc 1, Geneva, Switzerland 1201, CH
- Baarerstrasse 53/55, Zug, Switzerland 6300, CH
- 18 Westlands Rd, Hong Kong, HK
- Intermediate Ring Road, Bangalore, 560071, IN
- Dubai International Financial Centre, Dubai, AE
- 845 Texas Avenue, Houston, TX 77002, US
- Calle de Velázquez, 34, Madrid, Community of Madrid 28001, ES
- 201 W Brookline St, Boston, Massachusetts 02118, US
- Catégories d’activité
- Financial Services
- Autres noms enregistrés
- Squarepoint Capital
- Squarepoint
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 0
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
Squarepoint is a leading global investment management firm that develops quantitative investment strategies to achieve high quality returns for our clients. We are a data and technology driven firm who specialize in developing automated trading systems that execute across global financial markets.
| Champ | Valeur |
|---|---|
| Secteur | Financial Services |
| Taille | 1,001-5,000 employees |
| Siège social | New York, NY |
| Type d’organisation | Privately Held |
| Offres sur Jobsy | 52 |
| Voir la page |
Position Overview
As a Reliability Software Engineer on the Data team, you will be central to the infrastructure and operations that keep Squarepoint's data ecosystem running at scale. Our mandate is broad by design: we own the pipelines, platforms, and automation that our technology and investment teams depend on.
The team operates at the intersection of engineering and operations. We build the observability tooling that surfaces problems before they become incidents, the job orchestration platform that runs production workloads at scale, the self-serve systems that let teams move faster without creating risk, and the production pipelines that onboard new data from various vendors. When incidents arise, we lead the response: root cause, remediation, and the follow-through that prevents recurrence.
You will work closely with quant researchers, traders, and engineers across our organization, as well as the external vendors who supply our data, building strong working relationships while developing deep expertise in the systems that underpin their work. We value ownership, sharp analytical thinking, and engineers who take pride in leaving things better than they found them. If you thrive in an environment where your work has direct, visible impact on the reliability of critical systems and where no two days look the same, then this role is for you.
Responsibilities
- Observability: Keep Data Development infrastructure healthy, building the health monitoring platform with configurable monitors and custom checks that surfaces problems before they become incidents
- System Automation: Build and improve automation that streamlines operational tasks and workflows, including the job orchestration platform that runs production workloads at scale
- Self-Serve Request Automation: Build the Jira-driven platform that executes operational requests end to end, letting teams move faster without creating risk
- Data Pipelines: Onboard new datasets from various vendors, and build the pipelines and frameworks that make that work scalable
- Reliability Engineering: Own deployments, support users, plan for capacity and performance, and lead incident resolution end to end
Required Qualifications
- Education: Bachelor's degree in Computer Science, Engineering, or a related subject
- Experience: 4+ years of proven experience in Software Engineering, Software Reliability, or a similar role
- Python: 3+ years of hands-on experience programming in Python, and familiarity with version control systems such as Git
- Linux: Proficiency with the Linux command line
- Databases: Experience with SQL and relational databases, primarily PostgreSQL
- Data Transfer: Practical knowledge of common protocols and tools used to move data, such as SFTP, HTTP APIs, and cloud object storage
- Communication: Excellent verbal and written skills for working effectively with a global team and external vendors
- Mindset: Proactive, detail-oriented, and self-driven with a strong sense of ownership and accountability
Required Qualifications
- Education: Bachelor's degree in Computer Science, Engineering, or a related subject
- Experience: 4+ years of proven experience in Software Engineering, Software Reliability, or a similar role
- Python: 3+ years of hands-on experience programming in Python, and familiarity with version control systems such as Git
- Linux: Proficiency with the Linux command line
- Databases: Experience with SQL and relational databases, primarily PostgreSQL
- Data Transfer: Practical knowledge of common protocols and tools used to move data, such as SFTP, HTTP APIs, and cloud object storage
- Communication: Excellent verbal and written skills for working effectively with a global team and external vendors
- Mindset: Proactive, detail-oriented, and self-driven with a strong sense of ownership and accountability
Nice to have
- Experience with observability and monitoring tools such as Grafana, Kibana, or Prometheus
- Experience developing automation tooling and implementing configuration management
- Experience with cloud platforms such as Google Cloud or AWS
- Experience operating job orchestration or workload scheduling systems at scale
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