Development operations Engineer
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Key skills for this role
About the Role
RIME Platform seeks a System Reliability Engineer (SRE) to ensure stability, speed, and reliability of systems processing real-time video streams and sensor data. The role involves CI/CD automation, infrastructure as code, DevSecOps, and MLOps collaboration to maintain seamless scalability.
Key Skills for This Role
Responsibilities
- Design and build robust CI/CD pipelines for backend services, frontend applications, and AI/Computer Vision models
- Provision and manage cloud infrastructure using tools like Terraform or Ansible
- Improve developer experience by accelerating code build times and setting up efficient local development environments
- Work closely with the AI team to automate the lifecycle of machine learning models
- Integrate automated security checks, vulnerability scanning, and secure secrets management into deployment pipelines
Requirements
- Strong hands on experience building and maintaining CI/CD pipelines using tools like GitHub Actions, GitLab CI, or Jenkins
- Deep practical experience with IaC tools, specifically Terraform or Ansible
- Strong knowledge of at least one major cloud platform (AWS, GCP, or Azure)
- Experience integrating security testing (SAST/DAST) into pipelines and utilizing secure secrets management solutions
- Familiarity with Machine Learning lifecycles, MLOps concepts, and challenges of deploying AI and computer vision models into production
Full Job Posting
Company Overview
- Rime operates a system that processes thousands of real time video streams and sensor data, transforming them into critical operational insights.
- As a System Reliability Engineer (SRE), you will ensure the stability, speed, and reliability of our systems.
Requirements
- CI/CD & Automation: Strong hands on experience building and maintaining CI/CD pipelines using tools like GitHub Actions, GitLab CI, or Jenkins.
- Infrastructure as Code (IaC): Deep practical experience with IaC tools, specifically Terraform or Ansible, along with strong knowledge of at least one major cloud platform (AWS, GCP, or Azure).
- Security (DevSecOps): Experience integrating security testing (SAST/DAST) into pipelines and utilizing secure secrets management solutions (e.g., HashiCorp Vault, AWS Secrets Manager).
- MLOps Knowledge: Familiarity with Machine Learning lifecycles, MLOps concepts, and the specific challenges of deploying AI and computer vision models into production.
Roles And Responsibilities
- CI/CD Pipeline Automation: Design and build robust continuous integration and deployment (CI/CD) pipelines for backend services, frontend applications, and AI/Computer Vision models.
- Infrastructure as Code (IaC): Provision and manage cloud infrastructure using tools like Terraform or Ansible.
- Developer Enablement (DevEx): Improve the developer experience by accelerating code build times, setting up efficient local development environments, and removing operational bottlenecks.
- MLOps Collaboration: Work closely with the AI team to automate the lifecycle of machine learning models.
- Security Integration (DevSecOps): Integrate automated security checks, vulnerability scanning, and secure secrets management into the deployment pipelines.
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