The DevOpsEngineer plays a key role in ensuring our infrastructure is efficient, secure, and scalable with smooth automation and deployment processes.
This position is all about building reliable systems that keep things running seamlessly.
You’ll collaborate closely with our Tech Lead and other key players crafting smart infrastructure and automation solutions that power both our cutting-edge products and ambitious R&D goals at DeepLife.
If you’re into solving tough tech puzzles and keeping systems smooth and scalable, this role is your playground!
Tasks
CI / CD and Automation
Build and maintain CI / CD pipelines to streamline development, testing, and deployment workflows for both Software Engineering products and R&D.
Infrastructure Management and Optimization
Help tech lead to design, implement, and maintain the company’s cloud infrastructure (AWS, GCP, etc.) to ensure scalability, reliability, and cost efficiency.
Support ML / AIOps for R&D.
Monitor and manage infrastructure performance, identifying bottlenecks and implementing solutions for optimization.
Collaborate with the Tech Lead to meet IT security requirements and implement robust security protocols across infrastructure and systems.
Manage network configurations including VPNs, firewalls, and secure access.
Automate infrastructure provisioning and configuration management using Infrastructure as Code (IaC) tools (e.g., Terraform, Ansible).
Deployment and Release Management
Support development teams (mainly R&D) in containerizing applications and managing orchestration (e.g., Docker, Kubernetes).
Monitoring and Incident Response
Implement and maintain monitoring solutions to track the health and performance of systems and applications.
Develop incident response plans and execute rapid issue resolution to minimize downtime.
Requirements
You’re the perfect match if:
Working for an AI product or company is a must-have.
Experience in large scale companies.
Experience in a startup is a plus.
Experience in Cloud Platforms:
Relevant experience working on a Cloud Provider (AWS is a plus).
Infrastructure as Code:
Hands-on experience with tools like Pulumi, Terraform, or Ansible.
CI / CD Expertise:
Proven ability to design and implement robust CI / CD pipelines using tools such as GitHub Actions, Jenkins, or GitLab CI.
Containerization and Orchestration:
Proficiency with Docker and orchestration tools like Kubernetes (using tools like Kubeflow is significant).
Monitoring and Logging:
Experience with tools such as Prometheus, Grafana, Datadog, or ELK stack.
Scripting and Automation:
Strong scripting skills in Python, Bash, or similar languages for automation tasks.
IT Security Knowledge:
Familiarity with implementing secure practices including encryption, access control, and compliance standards.
Collaboration:
Excellent communication and teamwork skills to work effectively with developers, researchers, and other stakeholders.
Why Join Us:
Be part of a dynamic team where your contributions will have a direct impact on advancing drug discovery.
