Senior Forward Deployed Engineer

veeamsoftware; United States; Hybrid; USD 159,000 - 294,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Retirement matching

Paid leave

Learning resources

Wellness programs

Job summary

Veeam Software seeks a senior engineer to lead hands-on technical delivery for complex enterprise customers. You will translate data, security, privacy, and AI needs into scalable solutions spanning architecture, deployment, and automation.

You will own deployments from initial setup to scaled, ongoing usage, coordinating with security, privacy, and business stakeholders. The role requires hands-on leadership, strong coding skills, and experience with hybrid environments.

Qualifications

• 8-12+ years in deeply technical, customer-facing work such as forward-deployed engineering, solutions or platform engineering, or technical consulting.
• Strong software engineering skills in at least one language, such as Python, Go, or TypeScript, and ability to understand unfamiliar code and systems.
• Practical experience with Kubernetes, containers, Linux, and cloud platforms, plus deployments across hybrid and on-premises environments.
• Understanding of APIs, integrations, SQL and NoSQL data stores, and structured and unstructured data.
• Experience building technical solutions such as data pipelines, integrations, classifiers, automations, agents, or internal tools.
• Strong customer communication, ownership, critical thinking, and working knowledge of data security, privacy, and regulatory concerns.

Responsibilities

• Own customer implementations from initial deployment through scaled, ongoing use, including hybrid cloud and on-premises environments.
• Design solutions for complex data estates and build integrations across identity, security, IT service management, data platforms, APIs, and downstream systems.
• Adapt platform behavior to fit customer workflows and risk requirements, and troubleshoot issues across infrastructure, deployment, data, and integration layers.
• Create reusable agents, automations, tools, and playbooks for remediation, reporting, alerting, and operational follow-up.
• Lead architecture discussions with technical teams, executives, security and privacy leaders, and business stakeholders.
• Mentor colleagues and work with product, engineering, and sales engineering teams on strategic evaluations, escalations, and field feedback.

Skills

Python

Go

TypeScript

Kubernetes

Containers

Linux

Cloud platforms

APIs

Tools

SQL

NoSQL

Job description

Role overview

Lead hands-on technical delivery for complex enterprise customers, translating challenging data, security, privacy, and AI needs into practical solutions that can scale. The role spans architecture, deployment, integration, automation, and escalations, while also creating reusable approaches and mentoring other engineers.

Responsibilities

• Own customer implementations from initial deployment through scaled, ongoing use, including hybrid cloud and on-premises environments.
• Design solutions for complex data estates and build integrations across identity, security, IT service management, data platforms, APIs, and downstream systems.
• Adapt platform behavior to fit customer workflows and risk requirements, and troubleshoot issues across infrastructure, deployment, data, and integration layers.
• Create reusable agents, automations, tools, and playbooks for remediation, reporting, alerting, and operational follow-up.
• Lead architecture discussions with technical teams, executives, security and privacy leaders, and business stakeholders.
• Mentor colleagues and work with product, engineering, and sales engineering teams on strategic evaluations, escalations, and field feedback.

Requirements

• 8-12+ years in deeply technical, customer-facing work such as forward-deployed engineering, solutions or platform engineering, or technical consulting.
• Strong software engineering skills in at least one language, such as Python, Go, or TypeScript, and ability to understand unfamiliar code and systems.
• Practical experience with Kubernetes, containers, Linux, and cloud platforms, plus deployments across hybrid and on-premises environments.
• Understanding of APIs, integrations, SQL and NoSQL data stores, and structured and unstructured data.
• Experience building technical solutions such as data pipelines, integrations, classifiers, automations, agents, or internal tools.
• Strong customer communication, ownership, critical thinking, and working knowledge of data security, privacy, and regulatory concerns.

Benefits and work setup

The role is based in San Jose, California, with three days per week in the office. The listed compensation range is $158,520-$294,360 USD in target total compensation. Benefits include medical, dental, and vision coverage, retirement matching, paid leave, learning resources, and wellness support.