DevOps/Infrastructure Engineer

Job Description

Job Description

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 EngineerResponsibilities:

• 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.