What are the responsibilities and job description for the DevOps/Infrastructure Engineer position at Avispa Technology?
DevOps/Infrastructure Engineer ROCGJP00038968 Hourly pay: $60-$70/hrWorksite: Leading biotechnology company (South San Francisco, CA 94080 - Hybrid, Must be on-site 3 days/week)W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL40 hours/week, 12 Month AssignmentA leading biotechnology company is seeking a DevOps/Infrastructure Engineer. The successful candidate will be primarily responsible for building, deploying, and maintaining the infrastructure for cutting-edge software that leverages generative AI models and applications in collaboration with AI scientists, full-stack developers, and others.DevOps/Infrastructure Engineer Responsibilities:Innovate and develop software applications to support clinical developmentIdentify 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.DevOps/Infrastructure Engineer Qualifications:2 years of experience with front-end frameworks (preferably Vue.js).2 years of developing and deploying AI/ML solutions or applications.3 years of DevOps experience with cloud platforms, specifically AWS (EKS, RDS, EC2).Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.An experienced full-stack developer capable of bringing your expertise to our existing and upcoming AI applications/projects as both a leader and individualcontributor.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 is preferred.Experience with microservices architecture and managing distributed systems is preferred.Experience with DevSecOps practices and security scanning tools is preferred.Experience with database administration and management, including performance tuning, backups, and disaster recovery is preferred.Experience with cloud cost optimization strategies, performance engineering, and application optimization is preferred.Experience with monitoring and observability tools (Portkey, Prometheus, Grafana, ELK stack).Experience with cloud data warehousing / analytics platforms (e.g., Snowflake, BigQuery, Redshift).Experience with test automation e.g. Playwright is preferred.Experience designing and developing RESTful APIs (with e.g. Python FastAPI).Experience in the automation and speeding up of the software development lifecycle.Software development process skills like test automation, deployment, maintenance, or ML model deployment/monitoring.Experience with caching and data store technologies like Redis.Experience with CI/CD pipelines and automation tools (GitLab CI, GitHub Actions).Experience with using NLP/LLMs on clinical text is preferred.Experience with security best practices and compliance frameworks.A clear understanding of the current landscape of AI & AI-based applications, including potential benefits, limitations, and standard of practice.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).Proficiency with containerized workflows and architectures (Podman, Docker, Kubernetes)Proficiency in Infrastructure as Code tools (Terraform, CloudFormation) and GitOps (Argo CD).Knowledge of system administration, particularly with Linux.Strong incident management and root cause analysis skills.Familiar with Agile methodologies.Strong interpersonal and communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.Familiarity with CRDT technologies like Yjs is preferred.Basic knowledge of clinical drug development is preferred.#PP
Salary : $60 - $70