SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 167,400 - 310,900 / annual
Veeam is the Data and AI Trust Company, helping organizations ensure their data and AI are fully understood, secured, and resilient. As a Senior Forward Deployed Engineer, you will be the technical owner for complex, strategic customer accounts, leading technical approaches in ambiguous situations and helping customers extract real value from the platform in enterprise environments.
You will own technical delivery end-to-end—from deployment through scaled, everyday use—for the most complex customer accounts. 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 when standard configuration doesn't match customer workflows or risk models. You will build and operate integrations across customer systems including identity, SIEM, ITSM, data platforms, and APIs, diagnose and resolve deep technical issues across data, deployment, infrastructure, and integration layers, and create reusable agents, automations, tools, and playbooks that help the broader Forward Deployed Engineering team 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 partner with Sales Engineering, Product, and Engineering on strategic POCs, customer escalations, and product feedback from the field.
This is a hands-on senior role where you work directly with customer executives, security and privacy leaders, business stakeholders, and technical teams, turning 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
