Senior DevOps Engineer
Remote | $5000-6000 net
brask. ai
Location: Anywhere
Employment: Full-time
Work format: Remote
Salary range: $5000-6000 net
Who we are:
- We are building the leading global product that will help match content producers with celebrities and influencers by creating Digital Twins, existing, virtual, and who have passed away.
- We work with top US celebrities and partner with global talent agencies like CAA.
- We create disruptive projects with the best advertising agencies like BBDO and Publicis Group.
- On top of that, we are content creation partners with Meta, Google, and Reddit.
- At our company, we work on cutting-edge machine learning models to solve the challenges of creating ultra-realistic AI Twins.
- Our ML team has a Ph.D. in DL and over 20 years of experience in the ML industry combined.
About this role:
- Design, build, and maintain CI/CD pipelines for multiple projects and IaC
- Design EKS with monitoring and centralized logging and migrate part of services to EKS
- Collaborate with development teams to ensure optimal performance and scalability of infrastructure
- Implement security solutions for all systems
- Develop automation scripts to improve system reliability and efficiency
- Participate in an on-call rotation to provide 24/7 support for critical systems
Our stack:
- Cloud AWS (EKS, ECS, EC2, EC2 GPU instances, VPC, S3, SQS, ECR, VPC peering, etc)
- OS (Ubuntu, Debian)
- IaC (Terraform)
- Configuration management (Ansible, packer)
- Containerization (Docker, Docker-Compose)
- CI/CD (GitHub + GitHub Actions + - Self-hosted runners)
- VPN (Wireguard)
- Task tracker (Asana)
- Knowledgebase (Notion)
What you should have:
- Experience with EKS
- Strong knowledge of AWS solutions
- Experience with CI/CD tools and pipelines
- Experience with Dockerfile optimization
- Excellent problem-solving skills and strong attention to detail
- Strong communication and collaboration skills
Nice to have:
- Python development experience
- MLOps experience (ClearML, Jupyter, PyTorch, etc)
- Experience with self-managed Kubernetes
Apply: @o_bubentsova or here
