Forward Deployed Engineer
Veeam
- San Jose, United States
- Mid Level
- 4+ years
- Posted
Skills
Required
- cloud
- privacy
- AWS / Azure / Google Cloud
- AI
- APIs
- system integration
- SQL/NoSQL data stores
- unstructured data
- private cloud
- Kubernetes
- Linux
- Python / Go / TypeScript
Preferred
- enterprise data platforms
- Snowflake / Databricks / BigQuery
- GDPR / SOC 2 / ISO 27001
- DSPM
- DLP
- data governance
- privacy platforms
Join our team as a Forward Deployed Engineer, where you will own the technical outcome for customer accounts from deployment to everyday use. You will deploy and configure our platform across various environments, connect it to customer data systems, and troubleshoot core deployment components. You will also build production-grade solutions, diagnose complex issues, and lead technical sessions with customer teams. Enjoy benefits such as unlimited paid time off, medical coverage from day one, and professional training and education opportunities.
Ability to translate unclear security, privacy, compliance, or business needs into a clear technical plan
Responsibilities
- Assurer le résultat technique pour les comptes clients, depuis le premier déploiement jusqu'à l'utilisation quotidienne à grande échelle.
- Déployer et configurer la plateforme dans des environnements hybrides, y compris AWS, Azure, Google Cloud, cloud privé et systèmes sur site.
- Construire et exploiter des intégrations en utilisant des API, y compris SSO/SAML/OIDC, SIEM, ITSM, plateformes de données, et systèmes de reporting ou de remédiation en aval.
Requirements
- Strong understanding of APIs, system integration, SQL/NoSQL data stores, and structured or unstructured data
- Experience working across hybrid environments, including cloud, private cloud, and on-premises systems
- Experience building and shipping practical technical solutions, such as scripts, integrations, data pipelines, classifiers, automations, or internal tools
- High ownership, strong critical thinking, and the ability to bring structure to complex problems without a clear playbook
- Working knowledge of data security, privacy, and regulatory topics across industries and geographies
- Ability to read unfamiliar code, understand running systems quickly, and guide targeted changes when needed
- Experience using AI-native developer tools, agents, and automation to work faster and improve quality
- Strong customer presence, with the ability to build trust with executives, business stakeholders, and technical teams
- Hands-on experience with Kubernetes, containers, Linux, and cloud platforms such as AWS, Azure, or Google Cloud
- 4–7+ years of experience in technical, customer-facing roles, such as forward-deployed engineering, solutions engineering, platform engineering, or technical consulting
- Strong software engineering skills, with fluency in at least one programming language such as Python, Go, or TypeScript
- Experience building or heavily using AI agents, agentic coding assistants, MCP, or RAG systems
Preferred
- Experience with enterprise data platforms such as Snowflake, Databricks, or BigQuery
- Familiarity with regulatory frameworks such as GDPR, SOC 2, or ISO 27001
- Experience with DSPM, CSPM, DLP, data governance, privacy platforms, or related security domains
- Knowledge of access control, encryption, masking, or data protection controls in enterprise data systems
Pay
USD 140,900 - 234,800
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