23 meilleures offres (developer python, oracle pl/sql, java, alberta) (à pourvoir)

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xMentium —Calgary, AB
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Halliburton —Calgary, AB
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Arcus Power —Calgary, AB
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LandSolutions Inc —Calgary, AB
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Senior AWS Lambda (Java) Developer
Play Hockey —Canada
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Full Stack Developer - DevOps & Cloud Systems
BrightOrder Inc. —Canada
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Je souhaite recevoir la dernière alerte emploi pour les postes de ce type : developer python, oracle pl/sql, java (alberta)

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Lead Developer

Dahrouge Geological Consulting Ltd.
Edmonton, AB

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Détails du poste

Permanent

Compétences

Utilisation d'un ordinateur
Géologie
Azure
Informatique
Génie logiciel
React
PyTorch
DevOps
Ingénierie
Git
Maîtrise
AWS
Docker
Baccalauréat
Développement logiciel
Développement front-end
Intelligence artificielle
Leadership
Compétences en communication
Python

Description complète du poste

Position Summary

The Lead Developer leads the design, development, and delivery of Dahrouge Group’s software and machine-learning products. This is a hands-on technical leadership role: setting the engineering standard, leading a small development team, and taking products from concept to production. The role champions AI-leveraged development as the default way of working, driving exceptional delivery velocity from a lean team. Deep fluency with modern AI and machine-learning tooling is essential, and an interest in the natural resources sector is a strong asset.

Key Accountabilities

Software Design & Development Lead the architecture, design, and delivery of the company’s software product suite, spanning customer-facing SaaS applications and machine-learning systems. Define coding standards, architectural patterns, and the overall quality bar. Conduct and oversee code reviews, and contribute directly to the codebase as a hands-on technical leader.

Machine Learning & Applied AI Take machine-learning models to production in partnership with the company’s AI research function, owning evaluation, fine-tuning, deployment, and monitoring. Bring applied AI capabilities into customer-facing products. Maintain the standards for reproducible, production-grade ML.

Data Engineering & Pipelines Design and maintain automated pipelines to acquire, clean, and transform geological and operational data for use in products and models. Ensure data quality, accuracy, and integrity from source through to product.

AI-Native Development & Delivery’s default way of working. Build the internal tooling, workflows, and agentic harnesses that let a small team out-deliver much larger ones. Establish and maintain best practices in DevOps, CI/CD, testing, and documentation. Set delivery cadence and priorities without unnecessary process overhead.

Team Leadership & Collaboration Lead, mentor, and grow the development team, setting a high standard for craft and ownership. Work closely with leadership, geologists, and operations staff to translate strategy into a clear product roadmap. Communicate technical concepts clearly to non-technical stakeholders.

Security & Compliance Ensure products and systems meet appropriate security standards and data governance practices, including tenant isolation and protection of client and proprietary data. Participate in security reviews and support adherence to applicable regulatory and compliance requirements.

Position Requirements

Education Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience. Coursework or a degree in Geology, Geophysics, Earth Sciences, or a quantitative discipline is considered an asset.

Experience 6+ years of software development experience, including demonstrated experience leading or mentoring engineers. A strong track record of shipping and maintaining production-grade software; experience with machine-learning systems in production is an asset. Demonstrated ability to deliver at high velocity using AI-assisted development. Experience in the mining, natural resources, or geoscience sector is an asset.b No mandatory certifications are required for this role. Certifications in cloud platforms (e.g., Microsoft Azure, AWS, or Google Cloud) or machine-learning specializations are considered an asset.

Knowledge, Skills & Abilities Deep proficiency in Python and modern software engineering practices. Hands-on experience with the machine-learning stack (e.g., PyTorch, Lightning, Hugging Face) and taking models to production. Demonstrated mastery of AI-assisted, agentic development tools and the ability to use them to multiply team output. Strong experience with cloud platforms, containerization (Docker), version control (Git), and CI/CD. Strong system design, analytical, and problem-solving abilities. Sound product and design judgment, with a high bar for software craft. Excellent written and verbal communication skills, including the ability to present technical concepts to non-technical audiences.

Nice-to-Have:

Fluency or genuine interest in geoscience, mining, or natural resources, and familiarity with spatial or geological data (GIS, drillhole, geochemistry). Strong front-end development experience (React or similar) and a strong design sensibility. Experience building or scaling a small engineering team from an early stage. Familiarity with geoscience software such as Leapfrog or Vulcan.

Working Conditions

Office Work

Office-based role in Edmonton, working on-site in close collaboration with the Director, Technology & Innovation.

Controlled environment with occasional periods of pressure, particularly during project milestones or system deployments.

Minimal physical hazards; discomfort may arise from prolonged computer use.

Field and Site Visits

Occasional travel to operational or exploration sites may be required to support project delivery or gain firsthand understanding of field workflows.

Adherence to all safety protocols and use of appropriate personal protective equipment (PPE) is required when on site.

Overall

A strong commitment to safety and company values is required at all times.

Exposure to hazards varies based on project, location, and season, requiring adaptability.

Clear communication is essential for safety and maintaining a collaborative work environment.

Experience

Required

6 - 10 years: Demonstrated ability to deliver at high velocity using AI-assisted development.
6 - 10 years: 6+ years of software development experience, including demonstrated experience leading or mentoring engineers.

Education

Required

Bachelor's degree or better in Computer Science or related field

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