Water resource engineer - in - training supporting flood, river, stormwater, and watercourse projects at Onterris. Assisting modelling, design, field investigations, and regulatory work.
About the role
- Forward Deployed Engineer embedding SecurityScorecard’s AI-powered cybersecurity ratings into strategic customer workflows. Building data integrations, cloud solutions, and risk-quantification tools for enterprise accounts.
Responsibilities
- Deploy onsite with strategic customers to map security, risk, and compliance workflows end to end
- Identify where value is lost through manual effort or disconnected tools
- Gather requirements from practitioners and executives and understand dependencies across people, process, and data
- Integrate SecurityScorecard into customers’ existing data, logic, and processes
- Build AI-native solutions using LLMs, ML models, and modern AI tooling to automate analysis and reduce manual work
- Perform data analysis and data science on customer and platform data, including translating ratings into Annualized Loss Expectancy, Value at Risk, and ROI
- Design and deploy integrations, pipelines, and tools connecting SecurityScorecard to SIEM, GRC, ticketing, and data warehouse systems
- Architect and deploy solutions across AWS, Azure, and GCP environments
- Prototype solutions in the field and harden them into supportable, production-quality software
- Bridge Product, Engineering, and customers while feeding field patterns into the roadmap
- Own technical relationships with key accounts through renewal and expansion alongside Customer Success and Sales Engineering
- Travel to customer sites for workshops, technical deep dives, and go-live support
Requirements
- 6+ years of engineering or technical deployment experience that includes customer-facing work
- Hands-on experience building with AI, using LLMs, agentic frameworks, or ML models as core building blocks in shipped solutions
- Track record building AI-powered products or features, and a clear point of view on how AI changes forward deployed work
- Working data analysis / data science ability, including risk quantification, benchmarking, and exposure modeling
- Proven ability to ship production code independently in fast-moving, ambiguous, customer-facing environments
- Strong full stack fluency: backend services, APIs, scripting, data pipelines, and integration patterns including REST, webhooks, SSO/SAML, and SIEM connectors
- Solid architecture design experience across AWS, Azure, and GCP
- Experience running discovery with enterprise stakeholders, from practitioners to executive sponsors, and scoping that into a technical solution
- Excellent communication skills, translating between technical detail and business or financial impact
- Bias toward action and comfort with ambiguity
- Prior experience in cybersecurity, GRC, or risk management is a strong plus
- Willingness to travel to customer sites, typically 30 to 40% depending on account load
- No immigration sponsorship is provided for this position
Benefits
- Competitive salary
- Stock options
- Health benefits
- Unlimited PTO
- Parental leave
- Tuition reimbursements
- Annual performance-based incentive compensation awards
- Equity
- Reasonable accommodations for qualified individuals with disabilities
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