
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.
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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.
• Own technical delivery for complex customer accounts from deployment through scaled everyday use • Lead deployments across hybrid environments, including cloud, on-premises, Kubernetes, containers, Linux, and related infrastructure • Define solution architecture for customers with complex data estates, security needs, and business requirements • Adapt platform behavior when standard configuration does not match customer data, workflows, or risk model • Build and operate integrations across identity, SIEM, ITSM, data platforms, APIs, and downstream tools • Diagnose and resolve deep technical issues across data, deployment, infrastructure, and integration layers • Build reusable agents, automations, tools, and playbooks for the wider Forward Deployed Engineering team • Turn manual customer outcomes into repeatable workflows for remediation, alerting, reporting, and operational follow-up • Lead architecture and design sessions with customer executives, security and privacy leaders, business teams, and engineers • Mentor other Forward Deployed Engineers by reviewing solutions, sharing patterns, and unblocking complex technical work • Partner with Sales Engineering, Product, and Engineering on strategic proofs of concept, customer escalations, and product feedback
• 8–12+ years of experience in deeply technical, customer-facing roles, such as forward-deployed engineering, solutions engineering, platform engineering, or technical consulting • Strong software engineering skills in at least one language, such as Python, Go, or TypeScript • Ability to read unfamiliar code and understand complex systems quickly • Hands-on experience with Kubernetes, containers, Linux, and cloud platforms such as AWS, Azure, or Google Cloud • Experience deploying and operating solutions across complex cloud, hybrid, and on-premises enterprise environments • Strong understanding of APIs, system integration, SQL/NoSQL data stores, and structured or unstructured data • Experience building practical technical solutions, such as data pipelines, custom classifiers, integrations, automations, agents, or internal tools • Strong fluency with AI-native developer tools, agents, and automation, including creating reusable workflows • Strong customer presence and ability to build trust with executives, business leaders, and engineering teams • 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 without a clear playbook • Bonus: experience with DSPM, CSPM, DLP, data governance, privacy platforms, AI agents, agentic coding assistants, MCP, RAG systems, GDPR, SOC 2, ISO 27001, Snowflake, Databricks, BigQuery, access control, encryption, masking, or mentoring senior technical contributors
• Equal opportunity employer • Confidential handling of applicant information • Recruitment privacy notice and processing of personal data in accordance with it
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