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Veeam is seeking a Senior Forward Deployed Engineer to serve as the technical owner for complex, strategic customer accounts. In this hands-on senior role, you will lead technical delivery across deployment, integration, automation, and solution design for enterprise customers with sophisticated data, security, and AI requirements.
You will own end-to-end technical delivery for Veeam's most complex accounts, from initial deployment through scaled operational use. You will lead deployments across hybrid environments (cloud, on-premises, Kubernetes, containers, Linux), define solution architecture for customers with complex data estates and security needs, and adapt platform behavior to match customer-specific data workflows and risk models. You will build and operate integrations across customer systems including identity, SIEM, ITSM, data platforms, and APIs. You will diagnose and resolve deep technical issues spanning data, deployment, infrastructure, and integration layers.
A key part of this role is building reusable agents, automations, tools, and playbooks that enable the broader Forward Deployed Engineering team to deliver faster and with higher quality. You will turn manual customer outcomes into repeatable workflows for remediation, alerting, reporting, and operational follow-up. You will lead architecture and design sessions with customer executives, security and privacy leaders, business teams, and engineers. You will mentor other FDEs by reviewing solutions, sharing patterns, and helping unblock complex technical work. You will also partner with Sales Engineering, Product, and Engineering teams on strategic POCs, customer escalations, and product feedback from the field.
This role requires working directly with customer executives, security and privacy leaders, business stakeholders, and technical teams to turn complex data, security, privacy, and AI needs into practical, scalable solutions.
REQUIREMENTS:
- 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 (Python, Go, or TypeScript), with ability to read unfamiliar code and understand complex systems quickly
- Hands-on experience with Kubernetes, containers, Linux, and cloud platforms (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 with 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 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 such as GDPR, SOC 2, or ISO 27001 across multiple geographies
- Experience with enterprise data platforms such as Snowflake, Databricks, or BigQuery
- Knowledge of access control, encryption, masking, or other data protection controls in enterprise data systems
- Experience mentoring senior technical contributors or setting delivery standards in fast-paced, distributed teams
