Software Developer

Maple Nord Inc. specializes in providing top-notch health and safety management system services. As we continue to grow and enhance our offerings, we are in search of a skilled software developer to join our dynamic team. This role will be pivotal in creating innovative software solutions that ensure the highest standards of safety and compliance for our clients.

As a Software Engineer, you'll be responsible for designing and implementing software solutions, tools, and code to support various design initiatives, infrastructure enhancements, and technology platforms, as well as commercial applications and end-user software. You will work closely with stakeholders to gather and analyze user requirements for new features, leveraging diverse feedback mechanisms to inform continuous improvement and refinement of solutions. Collaboration will be key as you develop a detailed testing strategy to ensure the quality of deliverables. Applying advanced debugging techniques and utilizing tools such as logs and telemetry, you'll proactively identify and address potential issues throughout the software development lifecycle.

Responsibilities

· Develop software, tools, and code to be used in support of design, infrastructure, and technology platforms, as well as commercial or end-user applications.

· Review and break down work items into tasks with stakeholder collaboration, provide estimations, and escalate delays while also supporting feature deployments to customers, considering user and service impacts, and adhering to best deployment practices for safety.

· Collaborate with key stakeholders to define feature requirements, integrate feedback to enhance design, and establish feedback loops for continuous improvement based on customer metrics.

· Apply coding standards and best practices through code reviews, developing maintainable and extensible code with guidance. Utilize debugging tools to proactively and reactively address issues in product features, ensuring code quality and reliability.

· Support the identification of dependencies and design documentation for product features, learn about system interactions and back-end dependencies, and contribute to architectural processes under guidance. Produce code to test hypotheses for technical solutions and assist with technical validation efforts. Collaborate on quality assurance plans, augment test cases, and integrate automation into testing, while understanding the implications of security and compliance in system architecture.

· Contribute to data analysis and feedback integration for product engineering decisions, acting as a Designated Responsible Individual (DRI) for monitoring and restoring system functionality within Service Level Agreement (SLA) timeframe. Participate in live service operations, and support telemetry data integration for system behavior insights, with a focus on performance, reliability, and safety.

· Develop and apply best practices for reliable code building, understand global and local regulations, customer scaling requirements, and support communication with key partners for user experience enhancement and partner needs.

· Ensure compliance with security, privacy, safety, and accessibility standards, leverage developer tools for code creation and debugging, contribute to automation in production and deployment, and proactively seek knowledge to improve product availability, reliability, efficiency, and performance at scale.

Educational Background:

Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Advanced degrees (Master’s or Ph.D.) in AI or machine learning can be beneficial.

Technical Skills:

Proficiency in programming languages such as Python, R, Java, or C++. Familiarity with AI and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI services (like AWS SageMaker or Google AI Platform).

Machine Learning Knowledge:

Strong understanding of machine learning algorithms, natural language processing (NLP), computer vision, and deep learning techniques. Experience with data preprocessing, feature engineering, and model evaluation.

Data Management Skills:

Proficiency in working with databases (SQL and NoSQL) and data processing tools (e.g., Apache Spark, Hadoop). Familiarity with data visualization tools (e.g., Tableau, Matplotlib).

DevOps and MLOps:

Understanding of CI/CD practices for deploying AI models. Familiarity with MLOps tools and frameworks to manage the machine learning lifecycle.

Cloud Architecture:

Knowledge of cloud architecture principles, microservices, and serverless computing as they apply to AI solutions.

Soft Skills:

Strong analytical and problem-solving skills. Good communication and collaboration skills, especially for working in interdisciplinary teams.

Certifications (optional but advantageous):

Cloud certifications (e.g., AWS Certified Machine Learning, Azure AI Engineer Associate). AI or machine learning certifications from recognized institutions.

Experience:

Minimum 10 years. Practical experience through internships, projects, or previous roles related to AI and cloud technologies.

Please send your resume to info@maplenord.ca

Only shortlisted candidates will be contacted.