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Salary: USD 102,200 - 234,800 / annual
Veeam is seeking a Forward Deployed Engineer to own the technical delivery and success of strategic customer deployments of the Securiti AI platform. This is a hands-on engineering role where you will work directly with customers to deploy, integrate, and scale the platform across complex cloud, hybrid, and on-premises environments.
You will be the technical owner for customer accounts from first deployment through scaled, everyday use. Key responsibilities include:
- Deploy and configure the platform across hybrid environments (AWS, Azure, Google Cloud, private cloud, on-premises)
- Connect the platform to customer data systems, identity providers, reporting tools, and business workflows
- Configure, tune, and troubleshoot core deployment components including Kubernetes, containers, Linux, and cloud infrastructure
- Build and operate integrations using APIs (SSO/SAML/OIDC, SIEM, ITSM, data platforms, reporting/remediation systems)
- Translate customer goals into technical plans supporting data discovery, classification, governance, privacy, and AI security outcomes
- Adapt platform behavior when standard configuration doesn't fully match customer needs
- Build production-grade solutions including data pipelines, custom classifiers, automations, integrations, and agent-based workflows
- Use AI-native tools and agents to automate repeatable work and improve delivery quality
- Diagnose complex issues across data, deployment, and integration layers using observability tools
- Lead technical sessions with customer teams and partner with Sales Engineering, Product, and Engineering teams
This role combines deep technical expertise with customer-facing leadership. You will help customers turn complex data and AI environments into clear security, privacy, governance, and AI readiness outcomes.
**Requirements:**
- 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 (Python, Go, or TypeScript)
- Experience building and shipping practical technical solutions (scripts, integrations, data pipelines, classifiers, automations, internal tools)
- Ability to read unfamiliar code, understand running systems quickly, and guide targeted changes
- Hands-on experience with Kubernetes, containers, Linux, and cloud platforms (AWS, Azure, Google Cloud)
- Experience working across hybrid environments including cloud, private cloud, and on-premises systems
- Strong understanding of APIs, system integration, SQL/NoSQL data stores, and structured/unstructured data
- Experience using AI-native developer tools, agents, and automation
- Strong customer presence with ability to build trust with executives, business stakeholders, and technical teams
- Ability to translate unclear security, privacy, compliance, or business needs into clear technical plans
- Working knowledge of data security, privacy, and regulatory topics across industries and geographies
- High ownership, strong critical thinking, and ability to bring structure to complex problems
**Bonus Skills:**
- Experience with DSPM, CSPM, DLP, data governance, privacy platforms, or related security domains
- Experience building or heavily using AI agents, agentic coding assistants, MCP, or RAG systems
- Familiarity with regulatory frameworks (GDPR, SOC 2, ISO 27001)
- Experience with enterprise data platforms (Snowflake, Databricks, BigQuery)
- Knowledge of access control, encryption, masking, or data protection controls in enterprise data systems
