Senior Forward Deployed Engineer
Veeam
- San Jose, United States
- Senior Level
- 8+ years
- Posted
Skills
Required
- privacy
- automation
- solutions engineering
- platform engineering
- AI-native
- developer tools
- creating reusable workflows
- Python / Go / TypeScript
- Kubernetes
- Linux
- AWS / Azure / Google Cloud
Preferred
- integrations
- AI
- data pipelines
- custom classifiers
- automations
- DSPM
- Snowflake / Databricks / BigQuery
Join our team as a Senior Forward Deployed Engineer, where you will be the technical owner for complex and strategic customer accounts. You will lead the technical approach, make clear decisions in ambiguous situations, and help customers get real value from our platform in complex enterprise environments. This hands-on senior engineering role involves working directly with customer executives, security and privacy leaders, business stakeholders, and technical teams. You will define solution architecture, build integrations, diagnose technical issues, and mentor other engineers.
Responsibilities
- Travailler sur le déploiement, l'intégration, l'automatisation et la conception de solutions, en gérant les escalades techniques profondes et en construisant des modèles réutilisables.
- Collaborer directement avec les dirigeants des clients, les équipes de sécurité et de confidentialité, et les équipes techniques pour transformer des besoins complexes en solutions pratiques.
Requirements
- Assumer la responsabilité technique de comptes clients complexes et stratégiques, en dirigeant l'approche technique et en prenant des décisions claires dans des situations ambiguës.
- 8–12+ years of experience in deeply technical, customer-facing roles, such as forward-deployed engineering, solutions engineering, platform engineering, or technical consulting
- Strong fluency with AI-native developer tools, agents, and automation, including creating reusable workflows that help others move faster
- Strong software engineering skills in at least one language, such as Python, Go, or TypeScript, with the ability to read unfamiliar code and understand complex systems quickly
- Working knowledge of data security, privacy, and regulatory topics across industries and geographies
- Hands-on experience with Kubernetes, containers, Linux, and cloud platforms such as AWS, Azure, or Google Cloud
- Strong customer presence, with the ability to build trust with executives, business leaders, and engineering teams
- Strong understanding of APIs, system integration, SQL/NoSQL data stores, and structured or unstructured data
- High ownership, strong critical thinking, and the ability to bring structure to complex problems without a clear playbook
- Experience deploying and operating solutions across complex cloud, hybrid, and on-premises enterprise environments
- Knowledge of access control, encryption, masking, or other data protection controls in enterprise data systems
- Familiarity with regulatory frameworks such as GDPR, SOC 2, or ISO 27001, especially across multiple geographies
Preferred
- Experience building practical technical solutions, such as data pipelines, custom classifiers, integrations, automations, agents, or internal tools
- Experience with DSPM, CSPM, DLP, data governance, privacy platforms, or related security domains
- Experience mentoring senior technical contributors or setting delivery standards in fast-paced, distributed teams
- Experience building or heavily using AI agents, agentic coding assistants, MCP, or RAG systems
- Experience with enterprise data platforms such as Snowflake, Databricks, or BigQuery
Pay
USD 167,400 - 310,900
Benefits
- Enjoy unlimited paid time off, comprehensive benefits, and opportunities for professional growth.
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