Forward Deployed Engineer

🔥 12 hours ago

🏄 California – Remote

🏄 California – Remote

💵 $102.2k - $234.8k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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Veeam Software

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2006

💼 Consulting

📦 Logistics

☁️ SaaS

💰 $500M Private Equity Round on 2019-01

Consulting • Logistics • SaaS

Veeam Software is a global leader in data resilience and protection, offering self-managed data protection software for hybrid and multi-cloud environments. Their Veeam Data Platform provides comprehensive solutions for data backup, recovery, and security, featuring zero-trust principles and AI-powered tools for data intelligence. Veeam's offerings include secure backup and storage services for platforms such as Microsoft 365, AWS, and Google Cloud, supporting diverse workloads including virtual, physical, and SaaS environments. With a reputation for innovation and customer trust, Veeam serves a broad range of industries, ensuring data resilience against disruptions such as ransomware attacks. Their solutions enable businesses to achieve data freedom, secure storage, and efficient management, reinforcing their position as a top vendor in enterprise backup and recovery software worldwide.

📋 Description

• 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

• 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

• 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