4 дня назад
Senior Software Developer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Developer (AI): Designing and delivering high-performance platform services and APIs for geoscience data, analytics, data science, business intelligence, and AI workflows with an accent on secure architecture, scalable data models, and enterprise-grade integrations. Focus on optimizing transactional and analytical workloads, coordinating CI/CD releases, and solving complex challenges across cloud, streaming, and distributed data systems.
Location: Quebec City, Quebec, Canada; hybrid work with two days per week in the local office and the remainder home-based
Company
develops Earth sciences technology that helps organizations manage underground data, support critical mineral and infrastructure decisions, and advance renewable energy projects.
What you will do
- Design and architect complex software applications, platform services, web services, and APIs for geoscience data.
- Develop, test, document, maintain, and refactor secure programs, integration services, and data interfaces.
- Optimize data models for transactional and analytical workloads with high data volumes and concurrent usage.
- Evaluate architectural alternatives through models, simulations, and prototypes, and align stakeholders on delivery decisions.
- Coordinate cross-team releases covering CI/CD, observability, quality, security, compliance, communications, and post-release improvements.
- Lead design and code reviews, define development standards, deliver small projects, and mentor software engineers.
Requirements
- Bachelor’s degree in computer science, engineering, or an equivalent qualification.
- 7+ years of experience in relevant software development roles.
- Experience building enterprise-scale data solutions for high data volumes and concurrent usage.
- Strong proficiency in SQL, Python, and JSON, with experience using relational and NoSQL data storage.
- Experience with Azure, AWS, or GCP, plus familiarity with Docker, Kubernetes, CI/CD pipelines, and infrastructure-as-code.
- Experience with Kafka or Event Hub and API integrations, along with the ability to work autonomously, influence stakeholders, and apply security, privacy, and ethical practices.
Culture & Benefits
- Collaborative environment focused on curiosity, positive change, and global impact in Earth sciences.
- Inclusive workplace committed to equity, diversity, accessibility, and equal opportunity.
- Location-specific benefits are available; details are provided by the Talent Acquisition team.
- Accommodation support is available during the recruitment process.
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