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Salary: USD 102,200 - 234,800 / annual
Securiti (operating within Veeam) is seeking a Forward Deployed Engineer to serve as the technical owner for strategic customer deployments of the Securiti AI platform. You will work directly with enterprise customers to deploy, integrate, and scale the platform across complex cloud, hybrid, and on-premises environments, helping them transform data and AI environments into clear security, privacy, governance, and AI readiness outcomes.
In this hands-on engineering role, you will own the technical outcome for customer accounts from first deployment through scaled, everyday use. Key responsibilities include:
- Deploy and configure the Securiti 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
- Adapt platform behavior when standard configuration doesn't match customer data, risk models, or operating processes
- 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 increase impact
- 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 requires strong customer presence, the ability to build trust with executives and technical teams, and high ownership with critical thinking skills to bring structure to complex problems.
REQUIREMENTS:
- 4–7+ years of experience in technical, customer-facing roles (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 (cloud, private cloud, on-premises)
- Strong understanding of APIs, system integration, SQL/NoSQL data stores, and structured/unstructured data
- Experience using AI-native developer tools, agents, and automation
- Working knowledge of data security, privacy, and regulatory topics across industries and geographies
- Ability to translate unclear security, privacy, compliance, or business needs into clear technical plans
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
