24 часа назад
Senior Software Developer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Developer (AI) (Subsurface Information Management): Designing and delivering high-performance platform services, APIs, and data solutions for geoscience analytics, data science, business intelligence, and AI workflows with an accent on scalable architecture, security, and enterprise data volumes. Focus on developing API integrations, optimizing transactional and analytical data models, coordinating releases, and supporting CI/CD, observability, and project delivery.
Location: Hybrid in the Quebec City office, with attendance required two days per week. Flexibility in working hours may be required to collaborate across time zones. Occasional Tier 3 after-hours support may be required.
Company
develops technology for Earth sciences, helping organisations manage subsurface information, develop mineral resources, design infrastructure, and source renewable energy.
What you will do
- Design and architect complex software applications, platform services, components, and web services for geoscience data.
- Develop, test, document, refactor, publish, and support secure and scalable internal and external APIs.
- Develop and optimize data models for transactional and analytical workloads with high data volumes and concurrent usage.
- Plan and coordinate releases across teams, including quality, security, compliance, change management, and post-release reviews.
- Support CI/CD pipelines, observability tools, automated deployments, and automated testing.
- Lead small projects or sub-projects, manage risks and stakeholders, and provide technical guidance and mentorship.
Requirements
- Bachelor’s degree in computer science, engineering, or an equivalent qualification.
- 7+ years of experience in relevant software development positions.
- Experience building enterprise-scale data solutions and working with relational and NoSQL data stores.
- Strong proficiency in SQL, Python, and JSON.
- Experience with cloud platforms such as Azure, AWS, or GCP.
- Experience or familiarity with Docker, Kubernetes, CI/CD, infrastructure as code, Kafka, Event Hub, API integrations, software security, and project management.
Nice to have
- Experience with advanced analytics, data science, business intelligence, or AI workflows for geoscience data.
- Experience influencing stakeholders and contributing to cross-functional technical decisions.
Culture & Benefits
- Collaborative culture focused on open communication, ownership, customer needs, and continuous improvement.
- Flexible working arrangements supporting collaboration across geographically distributed teams.
- Competitive salary and location-specific benefits.
- Paid volunteer day, employee share purchase plan in most locations, rewards and recognition program, and continuous learning opportunities.
- Culture and wellbeing programs, personal support resources, and regular office events.
Hiring process
- Applications are submitted through ’s recruitment process.
- Accommodation is available during recruitment for candidates who require it.
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