At a Glance
- Tasks: Automate machine learning pipelines and develop scalable systems for data processing.
- Company: Join a cutting-edge tech company focused on innovation and collaboration.
- Benefits: Enjoy excellent health coverage, pension plan, and four weeks paid vacation.
- Other info: Experience catered lunches and machine learning talks while working in a learning culture.
- Why this job: Make an impact in the world of machine learning with a dynamic team.
- Qualifications: 5+ years in DevOps, strong skills in Azure/AWS, Kubernetes, and scripting.
The predicted salary is between 121500 - 148500 $ per year.
We are looking for world-class devops engineers and problem solvers.
You will be interacting with machine learning scientists and engineers to develop and automate machine learning pipelines that work.
In particular, you will participate in the development, delivery and automation of scalable systems for data ingestion, processing, validation, model training, large-scale computation, monitoring, serving results and handling upgrades.
- Job Requirements
- Must-Have
- 5+ years of experience building sophisticated and automated production infrastructure
- Solid Azure or AWS experience
- Extensive experience with Kubernetes, docker and container orchestration
- Experience with Saltstack or other configuration management
- Strong scripting skills, i. e., Bash, Python, Groovy etc.
- Experience with managing CI/CD tools and pipelines
- Strong practical Linux systems administration skills in a Cloud environment, Redhat and Ubuntu
- Experience with Git, Jenkins and Elasticsearch
- Strong verbal and written communication skills, with the ability to work effectively across teams
- BA/BS degree or equivalent experience; Computer Science background preferred
- Nice-to-Have
- Knowledge of IP networking, VPN’s, DNS, load balancing and firewalls
- Familiarity with monitoring tools
- Experience with automated testing tools
- Experience troubleshooting and tuning systems performance
- Knowledge of Java
Benefits
- Entrepreneurial and learning culture
- Excellent health coverage and pension plan
- Four weeks paid vacation
- Catered lunches twice a week over machine learning talks
- #J-18808-Ljbffr
Senior DevOps Engineer in Toronto employer: Layer 6 AI
At Layer 6, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the field of machine learning. Our vibrant work culture encourages continuous learning and professional growth, offering employees the chance to lead impactful projects while mentoring peers. Located in a dynamic tech hub, we provide unique opportunities to work with cutting-edge technologies and a diverse team dedicated to shaping the future of data solutions.
