Platform engineer, MLOps
Description For Platform engineer, MLOps
Writer, a leading full-stack generative AI platform, is seeking a Platform engineer, MLOps to join their team in London, UK. This hybrid role is crucial for deploying and managing cutting-edge infrastructure for AI/ML operations. As a Platform engineer, MLOps, you'll collaborate with AI/ML engineers and researchers to develop robust CI/CD pipelines, set up monitoring systems, and maintain large Kubernetes clusters with GPU workloads.
The ideal candidate should have 5+ years of experience building core infrastructure, with expertise in tools like Terraform, Python, Docker, and Kubernetes. Familiarity with cloud platforms (GCP, AWS, Azure) and monitoring tools (Prometheus, Grafana) is essential. You should be comfortable with ambiguity, rapid change, and have a knack for troubleshooting complex systems.
Writer offers a comprehensive benefits package, including generous PTO, medical coverage, paid parental leave, and various stipends for personal development and well-being. This role presents an exciting opportunity to make a significant impact in a dynamic, fast-paced environment at the forefront of AI technology.
Join Writer's team of over 200 employees who think big and move fast, and be part of creating a better future of work. If you're passionate about AI/ML infrastructure and ready to tackle challenging problems in a rapidly evolving field, this role could be perfect for you.
Responsibilities For Platform engineer, MLOps
- Work closely with AI/ML engineers and researchers to design and deploy a CI/CD pipeline
- Set up and manage monitoring, logging, and alerting systems for training runs and APIs
- Ensure training environments are consistently available across multiple clusters
- Develop and manage containerization and orchestration systems
- Operate and oversee large Kubernetes clusters with GPU workloads
- Improve reliability, quality, and time-to-market of software solutions
- Measure and optimize system performance
- Provide primary operational support and engineering for large-scale distributed software applications
Requirements For Platform engineer, MLOps
- Professional experience with infrastructure as code tools like Terraform
- Experience with scripting languages such as Python or Bash
- Experience with cloud platforms such as Google Cloud, AWS or Azure
- Familiarity with Git and GitHub workflows
- Familiarity with high-performance, large-scale ML systems
- Ability to troubleshoot complex systems
- Proactive in identifying problems, performance bottlenecks, and areas for improvement
- Comfortable with ambiguity and rapid change
- 5+ years building core infrastructure
- Experience running inference clusters at scale
- Experience operating orchestration systems such as Kubernetes at scale
Benefits For Platform engineer, MLOps
- Generous PTO, plus company holidays
- Medical, dental, and vision coverage for you and your family
- Paid parental leave for all parents (12 weeks)
- Fertility and family planning support
- Early-detection cancer testing through Galleri
- Flexible spending account and dependent FSA options
- Health savings account for eligible plans with company contribution
- Annual work-life stipends for home office setup, cell phone, internet
- Wellness stipend for gym, massage/chiropractor, personal training, etc.
- Learning and development stipend
- Company-wide off-sites and team off-sites
- Competitive compensation, company stock options and 401k
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