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Forward Deployment Engineer

1 hour, 33 minutes ago
Australia
Senior
Solutions Engineer
Software Development
AWS Azure Databricks Elasticsearch Encryption GCP Generative AI JavaScript Kubernetes Linux Python Snowflake SQL
Apply Now
Veeam Software

Veeam Software

Veeam Software is the global leader in Backup that delivers Modern Data Protection, offering solutions for virtual environments, enterprises, small businesses, and service providers worldwide.

Internet Software & Services
1K-5K
Founded 2006
$500M raised
View All Jobs 138

Description

  • Own and lead complex, multi-phase deployments across cloud and on-prem environments.
  • Drive end-to-end customer outcomes from initial architecture through production scale.
  • Serve as a senior technical stakeholder within customer engineering and leadership teams.
  • Resolve critical technical challenges across infrastructure, networking, and data systems.
  • Design and own scalable architectures for data discovery, classification, governance, and AI use cases.
  • Lead complex integrations using APIs, workflows, automation, and custom glue code.
  • Guide data pipeline design, ETL processes, and system interoperability at scale.
  • Own the technical relationship with customers and lead architecture workshops and executive technical discussions.
  • Partner with Product, Engineering, Sales, and Support to align execution with strategic goals.
  • Mentor Forward Deployment Engineers and junior team members and contribute to documentation and enablement.

Requirements

  • 5–8+ years in a customer-facing technical role with ownership of architecture and delivery.
  • Deep experience with cloud platforms such as AWS, Azure, and GCP.
  • Strong expertise in Kubernetes, containers, and Linux systems.
  • Advanced proficiency in scripting and automation with Python, JavaScript, or similar.
  • Experience designing and implementing large-scale system integrations using APIs and distributed architectures.
  • Strong understanding of SQL/NoSQL databases and unstructured data systems.
  • Solid understanding of data security, privacy, governance, and compliance concepts.
  • Experience with data access control, encryption, or masking in enterprise data platforms such as Snowflake, Databricks, or BigQuery.
  • Proven ability to operate in highly ambiguous environments and drive solutions end to end.
  • Excellent communication skills, including the ability to engage executive stakeholders.
  • Experience with AI/ML systems, Generative AI, or RAG-based architectures (nice to have).
  • Background in data governance, DLP, DSPM, or privacy platforms (nice to have).
  • Familiarity with regulatory frameworks such as GDPR, SOC2, and ISO 27001 (nice to have).
  • Experience with enterprise tooling ecosystems such as ServiceNow and Elastic (nice to have).

Interested in this position?

Apply directly on the company website

Apply Now

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