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Senior DevOps Engineer

At ProteinQure, we are building a computational platform for the design of peptide therapeutics. By daring to deliver therapeutics in a novel way we are changing the game for drug development and bringing hope to patients with previously untreatable diseases. We work on treatments for cancer, diabetes, neurodegenerative, and cardiovascular diseases, among others, and partner with industry leaders in drug discovery to generate novel therapeutics outside of the conventional chemical space.

Our technology combines computational biophysical models with statistical and machine learning approaches to enable us to search across vast spaces of peptide-based therapeutics. We build and deploy these computational modules using a scalable hybrid cloud/on-prem computing infrastructure and complement their predictions with results from wet lab experiments.

We are seeking a Senior DevOps Engineer with experience in system administration and a passion for IT to join our dynamic team. This role is critical in ensuring the stability, scalability, and performance of our computational infrastructure.

Responsibilities:

• Design, deploy, and maintain on-premise and cloud cluster infrastructure to support computational workflows
• Maintain, improve, and manage CI/CD pipelines to streamline development processes
• Ensure high availability and reliability of systems through proactive monitoring, maintenance, and automation
• Collaborate with software engineers, data scientists, and researchers to optimize computational resources
• Troubleshoot and resolve system issues to ensure smooth operation of our platform
• Develop and maintain documentation for infrastructure, processes, and procedures
• Assist in IT-related tasks, including network setup, security configurations, and hardware management
• Evaluate and implement new tools and technologies to improve infrastructure efficiency

Requirements:

• 3+ years of experience in DevOps or related roles
• Proficiency with Linux system administration
• Proficiency in automation and Infrastructure as Code tools (e.g., Ansible, Terraform, Packer)
• Experience with CI/CD tools (e.g., Jenkins, CircleCI, GitLab CI)
• Strong knowledge of containerization technologies (Docker, Kubernetes)
• Familiarity with monitoring and logging tools (Prometheus, Grafana)
• Solid understanding of system networking and security
• Strong programming/scripting skills (Python, Bash)

Nice to Haves:

• Experience with cloud platforms (AWS, GCP, Azure)
• Knowledge of HPC (High-Performance Computing) environments
• Experience with on-prem cluster development and hardware provisioning
• Strong problem-solving skills and the ability to work independently and in a team

This role offers the opportunity to work at the cutting edge of computational drug design, collaborating with a diverse team of experts. If you're passionate about infrastructure, excited by challenges, and eager to contribute to groundbreaking therapeutic advancements, we'd love to hear from you!