Senior Forward Deployed Engineer
Veeam Software
Salary undisclosed
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Description
Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.
About the Role
As a Senior Forward Deployed Engineer, you will be the technical owner for some of the most complex and strategic customer accounts. You will lead the technical approach, make clear decisions in ambiguous situations, and help customers get real value from the platform in complex enterprise environments.
You will work across deployment, integration, automation, and solution design. You will also handle deep technical escalations and build reusable patterns, tools, and playbooks that help the wider Forward Deployed Engineering team move faster and deliver more consistently.
This is a hands-on senior engineering role. You will work directly with customer executives, security and privacy leaders, business stakeholders, and technical teams. You will turn complex data, security, privacy, and AI needs into practical solutions that can scale.
What You'll Do
- Own technical delivery for the most 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 fully match the customer’s data, workflows, or risk model
- Build and operate integrations across customer systems, including 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 that help the broader FDE team deliver faster and with higher quality
- 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 FDEs by reviewing solutions, sharing patterns, and helping unblock complex technical work
- Partner with Sales Engineering, Product, and Engineering on strategic POCs, customer escalations, and product feedback from the field
What You'll Bring
- 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, with the 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 that help others move faster
- Strong customer presence, with the 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 the 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, especially 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
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Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.
Personal data collected during the recruitment process will be processed in accordance with our Recruiting Privacy Notice, which explains how your information is collected, used, and handled in connection with hiring activities. By applying for this position, you consent to this processing.
By submitting your application, you confirm that the information provided, including any supporting documents, is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification may result in disqualification from consideration or, if discovered after employment begins, termination of employment.
About this role
Veeam is seeking a Senior Forward Deployed Engineer to own the technical delivery of their most complex customer accounts, working across deployment, integration, and solution design in enterprise environments. You'll be the technical authority for strategic customers, leading deployments in hybrid cloud, on-premises, and Kubernetes settings while turning intricate data security and AI requirements into scalable solutions. This role sits at the intersection of hands-on engineering and customer leadership—you'll diagnose deep technical issues, design architectures with C-suite stakeholders, and build reusable tools and automations that lift the entire Forward Deployed Engineering team's capability.
The position demands 8–12+ years in customer-facing technical roles, with strong software engineering skills (Python, Go, or TypeScript), deep experience in Kubernetes, containers, and cloud platforms, and fluency with APIs, data systems, and enterprise integrations. You'll need working knowledge of data security, privacy, and regulatory frameworks, plus the ability to think critically and structure solutions in ambiguous situations. Experience with AI-native tools, agents, and automation is expected; bonus qualifications include DSPM, CSPM, enterprise data platforms like Snowflake or Databricks, and mentoring experience.
This is a hybrid, full-time role based in Melbourne. It suits someone who thrives solving complex technical problems directly with customers, enjoys building patterns and tools that scale across teams, and can move fluidly between architecture discussions with executives and hands-on implementation work.
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Pay for this role
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