Secomea

Sales Engineer

• Partner with Sales and customers throughout the buying journey
• Conduct technical discovery sessions to understand customer environments, challenges, security requirements, and success criteria
• Design secure and scalable solution architectures aligned with customer OT, IT, networking, and cybersecurity environments
• Deliver tailored technical demonstrations
• Translate technical capabilities into business outcomes and customer value
• Plan and execute customer Proofs of Concept, including defining scope, success criteria, timelines, responsibilities, and decision points
• Configure and deploy Secomea solutions within customer environments
• Collaborate with OT, IT, networking, and cybersecurity teams
• Troubleshoot technical issues and coordinate with Product, Support, R&D, and Implementation teams
• Present findings and technical recommendations to customer stakeholders
• Own technical solution strategy for assigned opportunities
• Support RFIs and RFPs with technical responses
• Develop solution architectures, technical proposals, and implementation recommendations
• Support security reviews, technical due diligence, and customer audits
• Address technical objections and position Secomea against competing solutions
• Build relationships with customer technical teams and decision-makers
• Conduct win/loss reviews and maintain technical opportunity data in Salesforce
• Share customer and market insights with Product, Sales, Customer Success, and Marketing teams
• Contribute to improving Sales Engineering processes, demonstrations, and technical positioning
• Report to the Senior Director of Global CSM, Professional and Implementation Services, Solution Architects

Backend Engineer

• Build event-driven C# and Python pipelines that process audit events within a defined time budget
• Design processing for retries, out-of-order delivery, poison messages, backpressure, and at-least-once semantics
• Decide how append-only audit pipeline outputs are stored and versioned
• Productionize analytical work as unattended services with scheduling, retries, throughput, cost controls, and monitoring
• Build detection and enrichment services using aggregation, behavioral baselines, risk scoring, deduplication, suppression, thresholding, and confidence scores
• Design configurable customer rules without requiring a release for every detection
• Enrich raw events with severity, reasoning, and links to product APIs
• Design and build C# APIs for the product UI, customer SIEM platforms, and downstream services
• Build integrations for notifications and structured evidence in customer tooling
• Design clean data contracts and event formats for compliance, security, and analytics consumers
• Operate services across Azure, Databricks, and the messaging layer through monitoring, alerting, tracing, and incident response
• Build observability for output-quality degradation
• Maintain CI/CD pipelines, automated testing, and safe deployment practices
• Collaborate with the Data & AI team to move analytical work from proof of concept into production
• Influence architecture across processing pipelines, detection logic, and integration interfaces

Sales Engineer

Backend Engineer – Event Processing, Intelligence Services (C#, Python)