Indeed招Reliability Engineer - AI Platform
Responsibilities
Design, develop, ship, and motivate the creation of scalable software and systems to increase product reliability and organizational efficiency.
Guide reliability practices through the entire software development lifecycle through activities like architecture reviews, code reviews, creating platforms and frameworks, capacity planning, and chaos testing.
Maintain service health through monitoring, follow-the-sun incident response and promoting stability best practices to platform users.
Improve service reliability through blameless post-incident reviews and using code to prevent or respond to problem recurrence.
Collaborate with Engineering teams to balance cloud cost optimization with delivering a high degree of system reliability.
Skills/Competencies
Bachelor’s degree in Computer Science, related technical field, or equivalent practical experience.
2+ years of software development experience.
Experience writing code in Python, Node.js, Java, Go or a similar language.
Ability to debug, optimize code, and automate routine tasks.
Proficiency with cloud platforms and tools, specifically Amazon Web Services (AWS) AI services.
Experience scaling efficiently ML model training or LLM workload preferably in AWS SageMaker.
Experience with Infrastructure as Code (IaC) solutions like Terraform or AWS CDK.
Salary Range Transparency
Montreal Metro Area - C$119,000 - 173,000 CAD
Toronto Metro Area - C$122,000 - 178,000 CAD
Vancouver Metro Area - C$124,000 - 180,000 CAD
Salary Range Disclaimer
The base salary range represents the low and high end of the Indeed salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits.
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#AISoftware
Reference ID: 44504
Reference ID: 44504
Job Type: Full-time
Pay: $122,000.00-$178,000.00 per year
Benefits:
Dental care
Flexible schedule
Life insurance
Paid time off
Tuition reimbursement
Vision care
Work from home
Application question(s):
What experience do you have with ML model training?
What experience do you have with AWS Sagemaker OR Bedrock?
Experience:
software engineering: 2 years (required)
Work Location: Remote
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