Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль описана чётко и сочетает инженерную работу в production с внедрениями у клиентов в перспективной сфере AI-безопасности, но офисный формат и поездки ограничивают гибкость.
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Текст:
Hirify AI/Оригинал
TL;DR
Forward-Deployed Engineer (AI/Security): Deploying and operating depthfirst's vulnerability-detection platform in enterprise customer environments with an accent on cloud infrastructure, Kubernetes, networking, identity, and production integrations. Focus on designing deployment architectures, troubleshooting complex infrastructure and application issues, writing automation and production code, and converting recurring customer requirements into reusable platform improvements.
Location: On-site in San Francisco, USA; based in or willing to relocate to San Francisco. Travel to customer sites as needed.
Company
hirify.global builds AI-powered intelligence and security agents to detect and remediate critical software vulnerabilities, including zero-days, across customer codebases and open-source software.
What you will do
Own enterprise deployments from architecture and planning through installation, troubleshooting, upgrades, and operational handoff.
Work with customer security, infrastructure, and cloud teams to understand their environments and establish paths to production.
Solve deployment challenges involving cloud infrastructure, Kubernetes, networking, identity and access management, and application configuration.
Write production code, integrations, tooling, and automation for onboarding, deployment validation, upgrades, and ongoing operations.
Turn recurring customer needs into reusable platform improvements in collaboration with infrastructure, product, and security engineers.
Communicate technical trade-offs, dependencies, and progress while traveling to customer sites as needed.
Requirements
Experience building and operating production systems in infrastructure engineering, platform engineering, SRE, or a similar role.
Strong hands-on knowledge of cloud infrastructure and Kubernetes, including deploying, debugging, and operating production applications.
Understanding of networking and cloud security fundamentals, including private connectivity, DNS, TLS, IAM, and access controls.
Ability to investigate issues across infrastructure and application boundaries, identify root causes, and implement fixes.
Proficiency in Go, Python, or a similar language, with experience shipping production code and automation.
Experience with infrastructure as code, deployment pipelines, and observability.
Strong communication skills and an ability to understand unfamiliar environments, explain technical decisions, and coordinate across teams.
Ownership and sound judgment when requirements are ambiguous or deployments do not fit an existing playbook.
Based in or willing to relocate to San Francisco.
Nice to have
Experience owning technical engagements with large enterprise customers as an FDE, SRE, platform engineer, or solutions engineer.
Deep experience with AWS, EKS, Helm, and Terraform or Pulumi.
Experience with multiple cloud providers.
Experience deploying enterprise software in environments with strict networking, access, and security requirements.
Experience supporting varied customer architectures and integrating software with existing infrastructure and operational tooling.
Experience with AI platforms or security products.
Culture & Benefits
Competitive salary with meaningful equity.
Health, vision, and dental insurance.
Office lunch and dinner when working from the San Francisco office.
Direct impact on customer success and product direction.
Opportunity to work at the cutting edge of AI and security.
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