3 дня назад
Forward Deployed Engineer (AI)
102 200 - 234 800$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Forward Deployed Engineer (AI): Deploying, integrating, and scaling the Securiti AI platform across complex cloud, hybrid, and on-premises environments with an accent on Kubernetes, APIs, data security, privacy, governance, and AI readiness. Focus on building production-grade integrations, pipelines, classifiers, automations, and agent-based workflows while diagnosing complex deployment and data issues for strategic customers.
Location: Remote, United States
Compensation: $102,200–$234,800 USD annually, depending on U.S. geographic zone.
Company
develops data resilience and data security posture management solutions, including the Securiti AI platform, for organizations worldwide.
What you will do
- Own the technical outcome of strategic customer deployments from initial implementation through scaled production use.
- Deploy and configure the platform across AWS, Azure, Google Cloud, private cloud, and on-premises environments.
- Build integrations with data systems, identity providers, reporting tools, SIEM, ITSM, and downstream remediation systems using APIs.
- Develop production-grade data pipelines, custom classifiers, automations, integrations, and agent-based workflows.
- Configure, tune, and troubleshoot Kubernetes, containers, Linux, cloud infrastructure, data, deployment, and integration layers.
- Lead technical customer sessions and collaborate with Sales Engineering, Product, and Engineering on proofs of concept and issue resolution.
Requirements
- 4–7+ years of experience in forward-deployed engineering, solutions engineering, platform engineering, technical consulting, or similar customer-facing technical roles.
- Strong software engineering skills in at least one language such as Python, Go, or TypeScript.
- Hands-on experience with Kubernetes, containers, Linux, cloud platforms, hybrid environments, APIs, system integration, and SQL/NoSQL data stores.
- Experience building practical technical solutions such as scripts, integrations, data pipelines, classifiers, automations, or internal tools.
- Ability to translate complex security, privacy, compliance, and business needs into clear technical plans and communicate with executives and technical teams.
- Must be based in the United States.
Nice to have
- Experience with DSPM, CSPM, DLP, data governance, privacy platforms, or related security domains.
- Experience with AI agents, agentic coding assistants, MCP, or RAG systems.
- Familiarity with GDPR, SOC 2, or ISO 27001.
- Experience with Snowflake, Databricks, or BigQuery and enterprise data protection controls.
Culture & Benefits
- Unlimited paid time off, 12 paid holidays, four global e Days, and 24 paid volunteer hours annually.
- Paid parental leave, including 8 weeks for all parents and 16 weeks for birthing parents.
- Medical, dental, and vision coverage from the first day, plus mental health and wellness support.
- 401(k) retirement plan with company matching contributions.
- Fertility, adoption, surrogacy, legal, identity protection, veterinary, and supplemental health benefits.
- Learning resources, mentoring, workshops, and professional development events.
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