DevOps Engineer
il y a 4 semaines
About the Company
This Series A startup is focused on improving drug discovery reliability by enhancing the earliest stage drug target identification.
Job Description: DevOps Engineer
The DevOps Engineer will play a crucial role in ensuring infrastructure efficiency, security, and scalability, with a focus on automation and deployment. This position involves close collaboration with the Tech Lead to develop reliable systems that support both product development and R&D initiatives.
Key Responsibilities
- Infrastructure Management & Optimization – Design, implement, and maintain cloud infrastructure (AWS, GCP) to ensure scalability, reliability, and cost efficiency.
- CI/CD & Automation – Develop and maintain CI/CD pipelines to streamline software development, testing, and deployment processes.
- Infrastructure as Code (IaC) – Automate provisioning and configuration using tools such as Terraform, Ansible, or Pulumi.
- ML/AI-Ops Support – Monitor, optimize, and maintain infrastructure to support machine learning and research operations.
- Containerization & Deployment – Assist development teams with containerized applications and orchestration using Docker and Kubernetes.
- Monitoring, Security & Incident Response – Implement monitoring solutions, enforce security best practices, and develop incident response plans to ensure system stability.
Preferred Experience
- Cloud & AI Infrastructure – Experience working with AI-driven products and cloud platforms (AWS preferred).
- Infrastructure as Code (IaC) – Hands-on expertise with tools like Terraform, Pulumi, or Ansible for automating infrastructure management.
- CI/CD Pipelines – Proven ability to build and maintain CI/CD workflows using GitHub Actions, Jenkins, or GitLab CI.
- Containerization & Orchestration – Proficiency in Docker and Kubernetes; experience with Kubeflow is a plus.
- Monitoring & Observability – Familiarity with tools like Prometheus, Grafana, Datadog, or the ELK stack.
- Automation & Scripting – Strong command of Python, Bash, or similar scripting languages for process automation.
- Industry Experience – Prior work in large-scale companies is preferred, with startup experience considered a plus.
This role is ideal for candidates who enjoy problem-solving in a fast-paced, research-driven tech environment.
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