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Job Requirements of DevOps Engineer:
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Employment Type:
Contractor
-
Location:
South San Francisco, CA (Onsite)
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DevOps Engineer
Careers Integrated Resources Inc
South San Francisco, CA (Onsite)
Contractor
Job title:- DevOps Engineer
Location:- South San Francisco, CA Hybrid
Duration:- 12 Months Of Contact
Payrate: $81.77/ hr. on w2
Job Summary:
Location:- South San Francisco, CA Hybrid
Duration:- 12 Months Of Contact
Payrate: $81.77/ hr. on w2
Job Summary:
- We advance science so that we all have more time with the people we love.
- Client’s Early Clinical Development (ECD) department is seeking a talented and motivated Software Developer 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 Software 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.
- Innovate and develop software applications to support clinical development
- Identify and integrate AI/LLM capabilities to enhance data processing and natural workflows.
- Develop and maintain robust deployment pipelines for AI-enhanced applications.
- Monitor pipeline performance in production and implement necessary improvements.
- Write clean, maintainable, and well-documented code.
- Participate in code reviews and contribute to best practices in software development.
- Stay up-to-date with the latest advancements in generative AI and machine learning.
- Evaluate new technologies and methodologies to continuously improve our solutions.
- Work closely with data scientists, engineers, and product managers to integrate generative AI capabilities into our products and services.
- 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)
- 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.
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