John Snow Labs is hiring a

Senior DevOps Engineer

Contractor
Remote

We are looking for a superstar anything-is-possible DevOps expert, who can take on automating the deployment of a new software platform, and apply best practices & tools to make sure it operates efficiently, securely, and at scale.

This is a great opportunity for a DevOps expert looking to apply the newest tools, has experience is making complex software environments run successfully, and is looking for a long-term consulting relationship. We are not able to consider teams or agencies for this job.

Please mention the words "John Snow Labs" in your response if you're interested, and explain why you are the right person for this role.

    • - Strong system administrator experience for Linux based systems
    • - Experience packaging and deploying systems with Python backends and React frontend
    • - Understanding of Docker and building optimized, production ready images
    • - Knowledge of packaging helm charts for Kubernetes deployment
    • - Experience setting up infrastructure as a code, CI/CD, monitoring, logging - must have.
    • - Securing & operating Kubernetes clusters
    • - Experience building and operating AWS environments, including creating custom AMIs
    • - Working knowledge of Apache Spark or other big data technologies is a big plus

    What John Snow Labs offers:

    The Opportunity: We offer long-term freelance contracts for professionals eager to tackle cutting-edge problems, learn and build your career as part of a world-class team. This role requires a minimum commitment of 30 hours per week and is open to individual applicants only (no agencies or teams, please). 100% remote position.

    What We Offer:
    - Career Growth: This is a career-defining opportunity that promises to expand your skill set and experience with various tools and techniques.
    - Collaborative Environment: Work within a team of clinical and data science experts to make a significant impact.
    - State of the Art Technology: Contribute to advancing the state of the art of Healthcare AI, including contributions to open-source projects and peer-reviewed papers.
    - Learning and Culture: Opportunities for professional development through knowledge exchange within a global AI community.

    Application Process: Qualified and interested candidates should apply by submitting a resume, and public examples of software code or past projects.

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