twentyAI
Software Engineer, Platforms - TWE42691
twentyAI, San Francisco, California, United States, 94199
Overview
Software Engineer, Platforms - San Francisco A leading technology company focused on building secure, scalable, and reliable AI data infrastructure for enterprise-level machine learning and analytics. Our mission is to help organizations unlock the full potential of their data through innovative platform solutions. Base pay range $175,000.00/yr - $225,000.00/yr Direct message the job poster from twentyAI Role
As a Software Engineer, Platforms, you will design, build, and maintain the core systems that drive our AI data infrastructure. You’ll work across Kubernetes clusters and multi-cloud environments to ensure our platform scales seamlessly, remains secure, and meets the needs of enterprise customers. This is a high-impact opportunity for someone passionate about both infrastructure and platform development. Manage and optimize AWS EKS and Kubernetes clusters for high availability and efficiency. Design and operate resilient PostgreSQL data storage systems. Support multi-cloud operations across AWS, Azure, and GCP. Build integrations with Databricks, Snowflake, and ClickHouse for seamless data flows. Work directly with partners to execute technical integrations and new initiatives. Develop platform APIs, automation tools, and monitoring systems with cross-team collaboration. Ensure observability and robust monitoring at all infrastructure levels. Key Skills
Experience with AWS EKS and Kubernetes cluster management Strong knowledge of PostgreSQL databases Hands-on with multi-cloud infrastructures (AWS, Azure, GCP) Platform integration: Databricks, Snowflake, ClickHouse Proficiency in developing automation, APIs, and monitoring systems Cloud networking: VPCs, VPC tunneling, VPN configurations Security practices: supply chain security, container image vulnerability, firewall/rule sets, and network segmentation Modern DevOps tools: Terraform, Helm, ArgoCD Excellent collaboration skills across teams Experience in fast-paced, high-growth environments (preferred) Work on cutting-edge AI data infrastructure projects with real-world impact Competitive salary and equity Dynamic, collaborative, and high-growth work environment Strong support for professional learning and growth Next Steps
Ready to shape the future of AI data platforms? Apply now to join our team, or contact us to learn more about this exciting opportunity! Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries Data Infrastructure and Analytics Get notified about new Software Engineer jobs in
San Francisco, CA . Inferred from the description for this job
Medical insurance Vision insurance 401(k) Pension plan
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Software Engineer, Platforms - San Francisco A leading technology company focused on building secure, scalable, and reliable AI data infrastructure for enterprise-level machine learning and analytics. Our mission is to help organizations unlock the full potential of their data through innovative platform solutions. Base pay range $175,000.00/yr - $225,000.00/yr Direct message the job poster from twentyAI Role
As a Software Engineer, Platforms, you will design, build, and maintain the core systems that drive our AI data infrastructure. You’ll work across Kubernetes clusters and multi-cloud environments to ensure our platform scales seamlessly, remains secure, and meets the needs of enterprise customers. This is a high-impact opportunity for someone passionate about both infrastructure and platform development. Manage and optimize AWS EKS and Kubernetes clusters for high availability and efficiency. Design and operate resilient PostgreSQL data storage systems. Support multi-cloud operations across AWS, Azure, and GCP. Build integrations with Databricks, Snowflake, and ClickHouse for seamless data flows. Work directly with partners to execute technical integrations and new initiatives. Develop platform APIs, automation tools, and monitoring systems with cross-team collaboration. Ensure observability and robust monitoring at all infrastructure levels. Key Skills
Experience with AWS EKS and Kubernetes cluster management Strong knowledge of PostgreSQL databases Hands-on with multi-cloud infrastructures (AWS, Azure, GCP) Platform integration: Databricks, Snowflake, ClickHouse Proficiency in developing automation, APIs, and monitoring systems Cloud networking: VPCs, VPC tunneling, VPN configurations Security practices: supply chain security, container image vulnerability, firewall/rule sets, and network segmentation Modern DevOps tools: Terraform, Helm, ArgoCD Excellent collaboration skills across teams Experience in fast-paced, high-growth environments (preferred) Work on cutting-edge AI data infrastructure projects with real-world impact Competitive salary and equity Dynamic, collaborative, and high-growth work environment Strong support for professional learning and growth Next Steps
Ready to shape the future of AI data platforms? Apply now to join our team, or contact us to learn more about this exciting opportunity! Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries Data Infrastructure and Analytics Get notified about new Software Engineer jobs in
San Francisco, CA . Inferred from the description for this job
Medical insurance Vision insurance 401(k) Pension plan
#J-18808-Ljbffr