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Salary: USD 167,400 - 310,900 / annual
Veeam is the Data and AI Trust Company, specializing in data resilience and data security posture management. As a Senior Forward Deployed Engineer, you will be the technical owner for complex and strategic customer accounts, leading technical approaches in ambiguous situations and helping enterprise customers extract real value from the platform.
You will work across deployment, integration, automation, and solution design, handling deep technical escalations and building reusable patterns, tools, and playbooks for the broader Forward Deployed Engineering team. This is a hands-on senior role where you work 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.
Key responsibilities include:
- Owning technical delivery for the most complex customer accounts from deployment through scaled, everyday use
- Leading deployments across hybrid environments including cloud, on-premises, Kubernetes, containers, and Linux infrastructure
- Defining solution architecture for customers with complex data estates and security requirements
- Adapting platform behavior when standard configuration doesn't match customer workflows or risk models
- Building and operating integrations across customer systems including identity, SIEM, ITSM, data platforms, and APIs
- Diagnosing and resolving deep technical issues across data, deployment, infrastructure, and integration layers
- Creating reusable agents, automations, tools, and playbooks to help the FDE team deliver faster and with higher quality
- Converting manual customer outcomes into repeatable workflows for remediation, alerting, reporting, and operational follow-up
- Leading architecture and design sessions with customer executives, security leaders, and engineering teams
- Mentoring other FDEs through solution reviews, pattern sharing, and technical unblocking
- Partnering with Sales Engineering, Product, and Engineering on strategic POCs, escalations, and field feedback
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, or privacy platforms
- 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
