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DevOps / Infrastructure Engineer

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Revel IT

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Location:
United States , San Francisco

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

The Early Clinical Development (ECD) department with our client is seeking a talented and motivated DevOps / Infrastructure Engineer to join the Clinical Data Insights & Automation team (CDI&A). The CDI&A team collaborates with a broad range of stakeholders involved in the clinical development process (e.g., Clinical Science, Clinical Operations, Medical Writing, Quality, Regulatory). It develops industry-leading solutions for highly complex business problems. To manage the design and pilot of these software products, they apply a high degree of ingenuity and creativity while maintaining a finger on the pulses of the rapidly changing tech and healthcare landscapes. The DevOps / Infrastructure Engineer will primarily be responsible for designing, developing, and deploying software which interacts with cutting-edge generative AI models and applications in collaboration with AI scientists, full stack developers, and others. Their work will directly impact our ability to create and deliver innovative solutions that leverage AI to solve complex problems and enhance user experiences.

Job Responsibility:

  • Innovate and develop software applications to support clinical development
  • Identify and integrate AI/LLM capabilities to enhance data processing and natural workflows
  • Deployment and Monitoring: Develop and maintain robust deployment pipelines for AI-enhanced applications. Monitor pipeline performance in production and implement necessary improvements
  • Code Quality and Documentation: Write clean, maintainable, and well-documented code. Participate in code reviews and contribute to best practices in software development
  • Research and Innovation: Stay up-to-date with the latest advancements in generative AI and machine learning. Evaluate new technologies and methodologies to continuously improve our solutions
  • Collaborate with Cross-Functional Teams: Work closely with data scientists, engineers, and product managers to integrate generative AI capabilities into our products and services

Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field
  • Strong proficiency in either a front-end framework (Vue.js, React, or similar) and a backend web frameworks in Python and/or JavaScript (Django, FastAPI, Flask, Next.js, or similar)
  • 2+ years experience with front-end frameworks (preferably Vue.js)
  • 2+ years of developing and deploying AI/ML solutions or applications
  • Experience designing and developing RESTful APIs (with e.g. Python FastAPI)
  • Proficiency with containerized workflows and architectures (Podman, Docker, Kubernetes)
  • 3+ years of DevOps experience with cloud platforms, specifically AWS (EKS, RDS, EC2)
  • Experience with caching and data store technologies like Redis
  • Experience with CI/CD pipelines and automation tools (GitLab CI, GitHub Actions)
  • Proficiency in Infrastructure as Code tools (Terraform, CloudFormation) and GitOps (Argo CD)
  • Experience with monitoring and observability tools (Portkey, Prometheus, Grafana, ELK stack)
  • Experience with cloud data warehousing / analytics platforms (e.g., Snowflake, BigQuery, Redshift)
  • Knowledge of system administration, particularly with Linux
  • Experience with security best practices and compliance frameworks
  • Strong incident management and root cause analysis skills
  • Familiar with Agile methodologies
  • Excellent analytical and problem-solving skills with a track record of tackling complex technical challenges
  • Strong interpersonal and communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders
  • Extensive experience with cloud platforms (e.g. AWS) and modern data platforms (e.g., Snowflake)
  • Experience implementing chatbots, retrieval-augmented generation (RAG) systems, and integrating LLMs into applications (AI-assisted automation)

Nice to have:

  • Experience with Huggingface, Langchain, TensorFlow, PyTorch, or similar
  • Experience with microservices architecture and managing distributed systems
  • Experience with DevSecOps practices and security scanning tools
  • Experience with database administration and management, including performance tuning, backups, and disaster recovery
  • Experience with cloud cost optimization strategies, performance engineering, and application optimization
  • Experience with test automation e.g. Playwright
  • Familiarity with CRDT technologies like Yjs
  • Experience with using NLP/LLMs on clinical text
  • Basic knowledge of clinical drug development

Additional Information:

Job Posted:
January 03, 2026

Work Type:
On-site work
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