Jobs / Intact
Senior DevOps - AI
Intact · Toronto, ON, Canada
Toronto, ON, CanadaExp: 5-8 yrs101,800-124,400 CAD/yearlyHybrid
Remuneration
101,800-124,400 CAD/yearly
Location
Toronto, ON, Canada
Visa sponsorship
No visa sponsorship
Please note that Intact does not provide sponsorship or other support for immigration-related matters including but not limited to employer-specific closed work permits. Candidates must be eligible to work in Canada from the anticipated start date and throughout their employment and are solely responsible for maintaining their work eligibility.
Job summary
Intact is seeking a Senior DevOps Engineer to join their AI Engineering Team at the Data Lab in Toronto. This role involves managing and maintaining the AI platform, supporting the development team on operational aspects of AI and data pipelines, and implementing infrastructure as code. The ideal candidate will be passionate about cloud technologies, AI engineering, and creating efficient AI pipelines in a dynamic, collaborative environment.
Benefits
Flexible work arrangementsHybrid work modelPossibility to purchase up to 5 extra days off per yearMultiple benefits offered to support physical and mental wellbeing, including teShare plan & other savings: up to 12% of salary or even moreAnnual bonus target, based on the base salary, with a potential payout of up toEmployee Share Purchase Plan (ESPP) – with Intact matching 50% of your net sharePension offerings provide flexibility and long-term security for our employees bOpportunity to receive guaranteed income for life via our defined benefit pensio
Qualifications
- Bachelor’s degree in computer science, computer engineering or equivalent education and experience
- 5 to 8 years of experience in a DevOps role
- 5 years of experience in an AWS cloud environment, with in-depth knowledge of S3, Lambda, CloudWatch, VPC, Data Backup, AWS Backup
- Excellent hands-on experience with Terraform, Kubernetes, ELK, GitHub, GitHub Actions, and Jenkins
- Proficiency in Python
- Experience in a Databricks and Snowflake environment
- Experience in a Big Data context is a significant asset
- Experience in security or SecOps is a significant asset
- Knowledge of machine learning cycle is an asset
- Passionate about technology and eager to learn and grow
- Team player with excellent communication and collaboration skills
- Customer-oriented, with a focus on delivering high-value solutions
- Creative and innovative, with strong problem-solving skills
- Adaptable and flexible, thriving in a dynamic, fast-paced environment
- Detail-oriented, ensuring high standards of quality and precision in your work
- Self-starter, who can drive and follow through initiatives from beginning to end
- For candidates located in Quebec, bilingualism is required considering the necessity to interact on a regular basis with English-speaking colleagues across the country
- Must be eligible to work in Canada
Responsibilities
- Assist in managing and maintaining the AI platform
- Utilize AWS services (S3, Lambda, CloudWatch, VPC, Data Backup, AWS Backup) to manage and optimize cloud infrastructure
- Support the development team on operational aspects of AI and data pipelines
- Implement infrastructure as code using tools like Terraform, GitHub, GitHub Actions, and Jenkins
- Work with Databricks and Snowflake to manage and analyze large datasets
- Help create and maintain Continuous Integration and Continuous Deployment (CICD) pipelines
- Collaborate with different teams to support automation improvements
- Contribute to the development of Proof-of-Concept projects to validate new ideas
- Work with senior team members to identify and resolve technical issues and participate in code reviews
- Support development teams in adopting best practices for DevOps solutions and practices
- Assist in performing root cause analysis of business and production platform issues and help in developing action plans
- Learn about and recommend technologies/tools to facilitate integrations between product stacks
- Support the interpretation of security policies and ensure platform designs align with security guidelines
- Ensure security and promote secure coding practices throughout the development lifecycle
- Assist in implementing observability, best practices, and KPIs in the solutions, and provide support to software development teams
- Help implement high availability solutions, including disaster recovery, data recovery, and data backups
- Participate in problem management activities to identify improvements and minimize impacts
- Collaborate with software development teams to support more frequent and seamless deployments
Skills
AWSCloudWatchDatabricksGitHubGitHub ActionsJenkinsKubernetesAWS LambdaPythonS3SnowflakeTerraform
Degrees
Bachelor’s degree in computer scienceBachelor’s degree in computer engineering
Languages
PythonEnglish
Relocation
No