Job Description
Role Summary :
Are you an experienced and versatile Senior or Lead Software Engineer with a wide range of technical skills and a passion for driving innovation?
If you excel in a collaborative environment and are eager to contribute to innovative projects, we have an exciting opportunity for you to join our dynamic team!
What you will do :
Make critical coding judgments to ensure high quality and scalable solutions, such as implementing caching strategies, designing for performance and scalability needs, writing unit and integration tests, developing APIs, and conducting code reviews.
Additional responsibilities include working with container orchestration platforms like Kubernetes and API development frameworks such as API Platform.
Analyze, investigate, and recommend solutions for continuous improvements, process enhancements, identify pain points, and more efficient workflows.
Create templates, standards, and models to facilitate future implementations and adjust priorities when necessary.
- Demonstrate that you are a collaborative communicator by fearlessly and confidently speaking up, bringing people together, facilitating meetings, recording minutes and actions, and rallying the team towards a common goal.
- Utilize Jira and Confluence to efficiently manage project workflows, track progress, and facilitate collaboration. Collaborate effectively with cross-functional teams, using Agile methodologies for project development.
- Motivate and lead teams to achieve goals through delegation, effective communication, and setting a positive example.
What do you need to succeed?
- Bachelor’s degree, or diploma in Computer Science, Software Engineering, with a minimum of 10 years’ experience in related field.
- Strong experience in ML Pipelines, Model Registry in AWS and general experience with Machine Learning in the industry
- Extensive experience designing, implementing, and managing CI / CD pipelines and automation workflows using Jenkins. A strong working knowledge of Jenkins configuration, plugins, and capabilities is required.
- Proficiency in Git, Bitbucket, Java, Python, and conducting code reviews.
- Strong understanding of Agile methodologies and project management tools like Jira and Confluence.
- Advanced knowledge of AWS services (such as S3, Lambda, SageMaker) and serverless architectures.
- Familiarity with Remote Management Tools, SSH, and Console View.
Preferred Skills / Assets :
- Familiarity with containerization and orchestration technologies like Docker and Kubernetes.
- Experience evaluating the performance of ML models
- Knowledge of IAM and access management in AWS.
- Previous experience with test-driven development and unit testing.
- Excellent problem-solving and analytical abilities, with a proactive approach to challenges.
- Excellent communication skills (both written and oral), combined with strong interpersonal skills.
- Canadian Enhanced Reliability Clearance is required.
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