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Veeam Software

Builds backup and recovery software for businesses

Forward Deployed Engineer

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeSan Jose, CA, USA

About the Job

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 and 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, quickly understand running systems, and guide targeted changes when needed.
  • 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 to work faster and improve quality.
  • Ability to build trust with executives, business stakeholders, and technical teams.
  • Ability to translate unclear security, privacy, compliance, or business needs into a clear technical plan.
  • Working knowledge of data security, privacy, and regulatory topics across industries and geographies.
  • High ownership, critical thinking, and ability to bring structure to complex problems without a clear playbook.

Responsibilities

  • Own the technical outcome for customer accounts, from first deployment through scaled, everyday use.
  • Deploy and configure the platform across hybrid environments, including 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 deployment components, including Kubernetes, containers, Linux, and cloud infrastructure.
  • Build and operate integrations using APIs, including SSO/SAML/OIDC, SIEM, ITSM, data platforms, and downstream reporting or remediation systems.
  • Translate customer goals into technical plans that support data discovery, classification, governance, privacy, and AI security outcomes.
  • Adapt platform behavior when standard configuration does not fully match the customer’s data, risk model, or operating process.
  • 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, improve delivery quality, and increase impact.
  • Diagnose complex issues across data, deployment, and integration layers using observability tools and structured problem-solving.
  • Lead technical sessions with customer teams and partner with Sales Engineering, Product, and Engineering to support proofs of concept, resolve issues, and share field learnings.

Desired Qualifications

  • 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 such as GDPR, SOC 2, or ISO 27001.
  • Experience with enterprise data platforms such as Snowflake, Databricks, or BigQuery.
  • Knowledge of access control, encryption, masking, or data protection controls in enterprise data systems.

About the Company

Veeam Software

Builds backup and recovery software for businesses

Veeam Software makes backup and recovery software that gets businesses' data back after ransomware attacks, outages, or mistakes, whether it sits on their own servers, in public clouds, or in apps like Microsoft 365. It made its name in 2008 with Backup & Replication, built to back up VMware virtual machines, and in 2010 added a way to restart a failed server straight from its backup file. Its software keeps locked copies on-site or in Veeam's own cloud, scans them for malware before a restore, and tracks where sensitive data lives and which people and AI agents reach it. Companies buy subscriptions directly or through resellers and service providers. Veeam was founded in 2006 and is based in Kirkland, Washington, United States.

Company size
5,001-10,000
Company stage
Private
Total funding
$500M
Headquarters
Kirkland, WA
Founded
2006

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