Distyl AI एक कृत्रिम बुद्धिमत्ता कंपनी है, जो व्यवसायों को भरोसेमंद और एकीकृत जनरेटिव AI समाधान प्रदान करती है। इसकी टीम संस्थानों के साथ मिलकर उनकी AI तैयारी बेहतर करने और उनके डेटा, कार्यप्रवाहों तथा कर्मचारियों की आवश्यकताओं के अनुरूप उत्पाद विकसित करने का काम करती है। अपने स्वामित्व वाले टूल और OpenAI के साथ साझेदारी सहित विभिन्न सहयोगों के माध्यम से, Distyl AI विश्वसनीयता और जिम्मेदार कार्यान्वयन पर केंद्रित उद्यम-उन्मुख AI उत्पाद बनाती और तैनात करती है।
Senior Infrastructure Engineer, Customer Delivery
Deliver Distyl AI’s platform across customer clouds, private networks, and on-premises environments. Build secure, reliable infrastructure and automate enterprise deployments.
संयुक्त राज्य
कैलिफ़ोर्निया
न्यूयॉर्क$2,00,000 – $2,50,000 / वर्ष
हाइब्रिडपूर्णकालिकवरिष्ठलीडआवश्यक भाषा: अंग्रेज़ीअवसंरचना इंजीनियरविवरण
- Lead architecture and delivery of Distyl AI’s platform in hosted, customer VPC, and on-premises environments.
- Work with customers, platform engineers, and forward-deployed AI engineers from discovery through production.
- Turn customer architecture needs into working infrastructure, reusable designs, and automation.
- Maintain portable reference architectures for AWS, Azure, and Google Cloud.
- Deploy and upgrade the platform with infrastructure as code, Docker, Kubernetes, and shared CI/CD tools.
- Support private registries, restricted network egress, offline installations and upgrades, and alternatives to cloud-managed services.
- Develop provisioning services, controllers, and reusable deployment APIs in Python or Go.
- Guide customer relationships, clarify needs, explain tradeoffs, and keep stakeholders aligned through production acceptance.
- Implement network segmentation, data residency controls, audit trails, service-level objectives, observability, alerts, and disaster recovery.
- Resolve infrastructure incidents and improve reliability, runbooks, and support handoffs.
- Build and operate tenant isolation, provisioning, quotas, autoscaling, metering, and cost attribution for hosted deployments.
- Help develop AI runtime infrastructure, including agent sandboxing, workload identity, scoped credentials, network controls, and resource limits.
- Create agent-assisted workflows for environment checks, troubleshooting, and infrastructure changes.
- Set delivery standards, mentor engineers, and turn customer experience into product improvements.
आवश्यकताएँ
- At least seven years of experience in infrastructure or cloud engineering, site reliability engineering, or related technical delivery roles.
- Extensive production experience with AWS, Azure, or Google Cloud, and working experience with a second cloud provider.
- Experience in customer-facing engineering, with direct responsibility for technical delivery and stakeholder communication.
- Practical experience with networking, identity and access management, Docker, Kubernetes, and observability, including workload identity, scoped credentials, and resource limits.
- Demonstrated experience writing and maintaining production infrastructure as code.
- Strong production experience with Python or Go for building reusable infrastructure software.
- Experience operating hosted infrastructure with tenant isolation, provisioning, capacity controls, and usage and cost visibility.
- Experience translating customer needs into production architectures with CI/CD and identity, network, and data integrations.
- Experience delivering under strict access, network, security, and change controls, including private registries or restricted egress.
- Experience implementing network segmentation, data residency controls, audit trails, service-level objectives, disaster recovery, and incident response.
- Strong troubleshooting and automation skills.
- Ability to independently lead complex deployments and set technical direction across teams.
- Strong preference for infrastructure delivery and operations in enterprise customer environments, including production deployments across multiple clouds.
- Preferred experience with on-premises installation or upgrades, offline operation, or replacing cloud-managed dependencies.
- Preferred experience with agent sandboxing or technical AI governance.
लाभ
- Equity.
- Medical, dental, and vision insurance fully covered for employees and dependents.
- Flexible time off.
- Pre-tax HSA, FSA, and commuter accounts.
- 401(k) plan.
- Financial coaching resources.
- Fitness, mental well-being, fertility, and family-building benefits through Carrot.
- Complimentary office lunches and snacks.
- Access to advanced AI models and generous use of modern AI tools.
- Ownership of high-impact projects for leading enterprises.