"Alerted.org

DevOps/Infrastructure Engineer ROCGJP00037832 * Hourly pay: $60-$70/hr * Worksite: Leading biotechnology company (South San Francisco, CA 94080 - Hybrid, Must be on-site 3 days/week with mandatory attendance on Tuesdays and Thursdays) * W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL * 40 hours/week, 12 Month Assignment A leading biotechnology company is seeking a Senior AI Fullstack 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. DevOps/Infrastructure Engineer Responsibilities: * Build our DevOps foundation: Architect and maintain the infrastructure that powers our next-generation applications and integrates with large language models models. * Work with a cutting-edge tech stack: Utilize container orchestration, cloud platforms, and ML pipeline automation to build scalable systems. * Collaborate with experts: Work closely with data scientists and machine learning engineers to ensure seamless model deployment and optimal performance at scale. DevOps Engineer Qualifications: * 3+ years of DevOps experience with cloud platforms, specifically AWS (EKS, RDS, EC2). * Bachelor's degree in Computer Science, Engineering, or a related field. * Experience with cloud platforms and containerization technologies, skilled in managing large-scale distributed applications. * Comfortable optimizing performance for high-traffic workloads and has a strong foundation in software engineering. * Experience with caching and data store technologies like Redis. * Proficiency in scripting languages such as Python, Bash, or Go. * Hands-on experience with containerization (Podman, Docker) and container orchestration (Kubernetes, Helm Charts). * 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). * Proficiency in full-stack application development. * Knowledge of system administration, particularly with Linux. * Experience with security best practices and compliance frameworks. * Strong incident management and root cause analysis skills. * 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 is preferred. * Performance tuning, backups, and disaster recovery are preferred. * Experience with cloud cost optimization strategies, performance engineering, and application optimization is preferred.