Avispa Technology
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.
T he successful candidate will be primarily responsible for building, deploying, and maintaining the infrastructure for cutting-edge software that leverages generative AI models and applications. Overview
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. 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.
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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.
T he successful candidate will be primarily responsible for building, deploying, and maintaining the infrastructure for cutting-edge software that leverages generative AI models and applications. Overview
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. 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.
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