Forward Deployed Engineer

Veeam Software

. Own the technical outcome for strategic customer accounts from initial deployment through scaled everyday use .

Posted 9/18/2026full-timeRemote • California • United StatesMid-LevelSenior💰 $102,200 - $234,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in deploying and configuring the Securiti AI platform across various cloud environments, with a strong focus on building data pipelines, integrations, and automations. Proficient in translating customer requirements into technical solutions while ensuring compliance with data security and privacy regulations.

Highest-signal resume keywords

Kubernetes ConfigurationCloud Platform DeploymentAPI IntegrationData Pipeline DevelopmentAI-Native Tools Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonGoTypeScriptSQLNoSQLData ClassificationData GovernanceAutomationIntegrationTroubleshooting

Soft Skills

Critical ThinkingTrust BuildingCustomer EngagementTechnical CommunicationCollaboration

Tools & Technologies

AWSAzureGoogle CloudKubernetesContainersSecuriti AI PlatformSIEMITSMSnowflakeDatabricks

Certifications & Qualifications

GDPR FamiliaritySOC 2 FamiliarityISO 27001 Familiarity

Industry Keywords

Data SecurityPrivacy ComplianceDSPMCSPMDLPAgentic Coding AssistantsAccess ControlEncryptionData ProtectionHybrid Environments

Tech Stack

Tools & technologies

AWSAzureBigQueryCloudITSMKubernetesLinuxNoSQLPythonSQLTypeScriptGo

About the role

Key responsibilities & impact

Own the technical outcome for strategic customer accounts from initial deployment through scaled everyday use
Deploy and configure the Securiti AI platform across AWS, Azure, Google Cloud, private cloud, and on-premises systems
Connect the platform to customer data systems, identity providers, reporting tools, and business workflows
Configure, tune, and troubleshoot Kubernetes, containers, Linux, and cloud infrastructure
Build and operate API integrations, including SSO/SAML/OIDC, SIEM, ITSM, data platforms, and reporting or remediation systems
Translate customer goals into technical plans for data discovery, classification, governance, privacy, and AI security
Adapt platform behavior to customer data, risk models, and operating processes
Build production-grade 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 on POCs, issue resolution, and field learnings

Requirements

What you’ll need

4–7+ years of experience in technical, customer-facing roles such as forward-deployed engineering, solutions engineering, platform engineering, or technical consulting
Fluency in at least one programming language such as Python, Go, or TypeScript
Experience building and shipping practical technical solutions, including scripts, integrations, data pipelines, classifiers, automations, or 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 such as AWS, Azure, or 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 or unstructured data
Experience using AI-native developer tools, agents, and automation
Ability to build trust with executives, business stakeholders, and technical teams
Ability to translate security, privacy, compliance, or business needs into a clear technical plan
Working knowledge of data security, privacy, and regulatory topics
High ownership and strong critical thinking
Bonus: Experience with DSPM, CSPM, DLP, data governance, privacy platforms, or related security domains
Bonus: Experience with AI agents, agentic coding assistants, MCP, or RAG systems
Bonus: Familiarity with GDPR, SOC 2, or ISO 27001
Bonus: Experience with Snowflake, Databricks, or BigQuery
Bonus: Knowledge of access control, encryption, masking, or data protection controls

Benefits

Comp & perks

Unlimited paid time off
12 paid holidays, including 4 global VeeaMe Days for self-care
24 paid volunteer hours annually through Veeam Cares
Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents
Medical, dental, and vision coverage starting on your first day
Mental health support, therapy sessions, and digital wellness tools via the Employee Assistance Program
401(k) retirement plan with company matching contributions
Fertility, adoption, and surrogacy support through Maven
AirVet: 24/7 virtual veterinary care at no cost
Legal services, identity protection, and supplemental health insurance options
Tax-advantaged spending accounts for healthcare, dependent care, and commuting
On-demand learning libraries, mentoring, workshops, and learning events