Senior Forward Deployed Engineer (L5)

Responsibilities

• Own outcomes for high stakes customer engagements.
• Lead technical discovery to map customer’s data and identity reality, including key data stores, flows, access patterns, and risk hotspots.
• Drive successful pilots and proofs of concept from blank slate to measurable value.
• Design and implement secure deployments across cloud, on-prem, and hybrid environments, including AWS, Azure, GCP, and on premise patterns.
• Integrate Symmetry into customer ecosystems such as identity systems, data platforms, and security tooling.
• Translate data security posture and identity risk signals into prioritized remediation plans.
• Partner with Sales to run technical workshops, threat and risk reviews, and architecture sessions.

Qualifications

• 1-5+ years of experience in roles such as Forward Deployed Engineer, Solutions Architect, hands-on Sales Engineer, Customer Engineer, Security Engineer, or similar, with deep technical delivery.
• Ability to lead technical engagements with enterprise customers across security, data, platform, and executive stakeholders.
• Fluency across AWS, Azure, and GCP, including IAM concepts, networking fundamentals, logging and audit patterns, and deploying production grade services.
• Comfort working with modern data ecosystems and data sprawl across warehouses, lakes, object stores, and SaaS platforms.
• Strong debugging and systems thinking skills.
• Ability to write code or scripts in Python, Go, or TypeScript, and reason about APIs and integrations.
• Ability to set direction in ambiguous situations and keep teams aligned.

Nice to Haves

• Experience in data security, DSPM, cloud security posture management, identity governance, or Zero Trust initiatives.
• Familiarity with security operations workflows such as alerting, investigations, audit evidence generation, and incident response.
• Track record of building repeatable deployment playbooks or scalable post sales motions.

Perks and Benefits

• Flexible Work.
• Equipment and Software expense policy.
• Training and Growth opportunities.
• Recognition through blog features, product showcases, and conference talks.
• Cutting-Edge Work in generative AI and ML applications within data security.