DevOps Engineer

DeepLife is hiring!

About

DeepLife is a pre-series A startup focused on addressing the urgent need to increase drug discovery reliability by acting on the earliest step, drug target identification. This consists of identifying, a molecular target, such as a protein, that will trigger the transition from disease to healthy cells. With current methods, only 1 target in 10,000 reach the market, leading to a significant loss of time and efforts in the community.

Our approach is to leverage the recent revolution in the omics data, measuring precisely cells activity at large scale, and build foundation models to mimic cell behavior in various contexts and identify the optimal trigger to reverse disease state.

Half of the team today is dedicated to build the largest omics database, aka omics atlas, to map all human body tissues and diseases and reduce experimental biases.

We offer a research friendly environment, with 90% of the company holding a PhD, with academic collaborations and publications. The team is international and composed of +10 different nationalities. The company is remote first with most of the work is remote and regular events organized in our offices in Paris.

Job Description

The DevOps Engineer 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! 🌟

What You'll Do:

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, and implement, and maintain the company’s cloud infrastructure (AWS, GCP, etc.) to ensure scalability, reliability, and cost efficiency.
    • Supporting ML/AI-Ops 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.

Preferred Experience

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.

Recruitment Process

  1. Initial Chat with HR (30 minutes): A conversation with Ana from HR to ensure you have all the necessary information about the role, contract details, and more.

  2. Technical Interview: Meet with our Head of R&D and a team member to dive deeper into the role and discuss your expertise.

  3. Final Interview: A discussion with our CEO and CTO.

    Important: You can expect to hear back from us starting January 2

Additional Information

  • Contract Type: Full-Time
  • Start Date: 03 March 2025
  • Location: Paris
  • Education Level: Master's Degree
  • Experience: > 4 years
  • Possible full remote
  • Salary: between 44000€ and 57000€ / year