Join CloudPivot and be part of a team redefining what is possible in data. We are well-funded with the resources of a scale-up and the speed of a startup. As a Senior MLOps Engineer, you will have real ownership, meaningful impact, and the flexibility to work how you work best.
What You'll Do:
- Monitor data quality and build alerting systems for anomalies
- Create dashboards and reports for business stakeholders
- Drive experimentation frameworks and A/B testing infrastructure
- Develop ML models and deploy them to production environments
- Build and maintain robust data pipelines and ETL workflows
What We're Looking For:
- Experience mentoring junior and mid-level team members
- 5+ years of relevant professional experience
- Ability to drive technical decisions with long-term impact
- Proven track record of delivering complex, high-impact projects
What We Offer:
- Flexible hours — we trust you to manage your time
- Health, dental, and vision insurance (or stipend for international hires)
- Annual learning and development budget ($1,500+)
- Home office setup stipend ($500-$1,000)
- Unlimited PTO and company-wide recharge days
To apply, send your resume and a short note about why you are excited about this role. We review every application and respond within 5 business days.
Required Skills
PythonSparkTensorFlowPyTorchDatabricksLooker
What We Offer
✓ 100% remote work
✓ Competitive equity package
✓ Conference & training budget
✓ Health & wellness perks
✓ Flexible working hours
✓ Top-tier hardware setup
How to Apply
1
Review the Job RequirementsRead the full description and ensure your skills match what CloudPivot is looking for.
2
Prepare Your ResumeHighlight relevant experience in Data and include projects that showcase your skills.
3
Click Apply NowSubmit your application through the button on this page. Make sure all required fields are filled.
4
Wait for ResponseHiring teams typically respond within 5–10 business days. Check your email regularly.
Frequently Asked Questions
Is this position fully remote?
Yes — Senior MLOps Engineer at CloudPivot is listed as Remote (Canada). The role supports remote work and does not require relocation.
What is the salary range for this role?
The listed compensation for this position is $130k-$170k per year, commensurate with experience and qualifications.
What skills are required for Senior MLOps Engineer?
Key requirements include: Python, Spark, TensorFlow, PyTorch, Databricks. See the full job description above for complete requirements.
How do I apply for this job?
Click the "Apply Now" button above to submit your application. Make sure your resume highlights relevant experience in Data.