LogoFresh Jobs Ahead
Distyl AI
Distyl AI
11 – 50 Darbinieki
B2BMākslīgais intelektsSaaS
Distyl AI ir mākslīgā intelekta uzņēmums, kas uzņēmumiem nodrošina uzticamus un integrētus ģeneratīvā mākslīgā intelekta risinājumus. Tā komanda sadarbojas ar organizācijām, lai uzlabotu to gatavību mākslīgā intelekta izmantošanai un izstrādātu produktus, kas pielāgoti to datiem, darba procesiem un darbinieku vajadzībām. Izmantojot savus rīkus un partnerības, tostarp sadarbību ar OpenAI, Distyl AI veido un ievieš uzņēmumiem paredzētus mākslīgā intelekta produktus, kuru pamatā ir uzticamība un atbildīga ieviešana.
LinkedIn
Vakances uzņēmumā

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.

USAmerikas Savienotās ValstisCAKalifornijaNYŅujorka
200 000 $ – 250 000 $ / gads
HibrīdiPilna slodzeVecākais speciālistsVadošais speciālistsNepieciešamā Valoda: angļuInfrastruktūras inženieris
AWSAzureDockerGoGoogle Cloud PlatformKubernetesMākonisPython

Apraksts

  • 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.

Prasības

  • 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.

Priekšrocības

  • 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.

Saistītās vakances

Hearst Health

Digital Media Advisor, Outside Sales — Hearst Health

Hearst Health
1001 – 5000 Darbinieki
SaaSVeselības apdrošināšanaVeselības aprūpe
USAmerikas Savienotās ValstisNYŅujorkaTNTenesī
45 000 $ – 60 000 $ / gads
AttālinātiPilna slodzeVidējais līmenisVecākais speciālistsNepieciešamā Valoda: angļuPadomnieksVispārīgi

Sell Hearst Health’s digital marketing solutions to small and midsize businesses. Build client portfolios, pitch marketing strategies, and grow accounts through consultative outside sales.

Atvērt