• Continuously optimize sensor components for minimal system footprint, ensuring high performance, low resource consumption, and maximum reliability. • Contribute to the evolution of AISPM by helping design adaptive policy logic, improving decision engines, and expanding coverage across platforms. • Build endpoint solutions focused on security, integrating them with our platform for real-time threat detection and data protection. • Collaborate with security engineers, QA, and product teams to reach customer/business goals. • Stay current with the latest developments in Generative AI and platform security, incorporating relevant advancements into our agents and extensions.

• Research, develop and maintain modelling, insurance pricing algorithms, visualizations proprietary solutions • Fullstack development with TypeScript and Python • Analysing requirements, proposing solutions, spiking, building PoCs and production grade, well tested solutions and releasing them • Supporting, optimizing and maintaining our solutions to meet our SLOs • Cooperating with team members through PR reviews, RFCs/ADRs and agile ceremonies

• System Architecture & Design: Lead the design and implementation of scalable and maintainable back-end systems. • Development & Coding: Write efficient and maintainable code using .NET technologies. • Cloud Infrastructure: Design, deploy, and manage cloud-based services and infrastructure on Microsoft Azure. • Technical Leadership: Provide guidance and mentorship to junior engineers. • Performance Optimization: Identify and resolve performance bottlenecks in backend systems. • Collaboration: Work closely with cross-functional teams to deliver software solutions. • Documentation: Create and maintain technical documentation for systems. • Security & Compliance: Implement and enforce security best practices. • Problem Solving: Troubleshoot and resolve complex technical issues.

• Lead discovery & architecture of customer data strategies, ensuring alignment between business goals, data models, and AI-driven use cases • Assess existing data ecosystems, including legacy data warehouses, cloud platforms, and integrations, to define the optimal Data Cloud architecture and migration strategy • Design scalable and secure data architectures on Salesforce Data Cloud—defining DLOs, DMOs, identity resolution strategies, and real-time data activation patterns • Develop enterprise-level solution blueprints, integration frameworks, and reference architectures that align with Salesforce and NeuraFlash best practices • Collaborate cross-functionally with data engineers, architects, product managers, and Salesforce technical teams to ensure seamless delivery • Serve as a trusted advisor to both customers and Salesforce teams—demonstrating how Data Cloud unlocks value across Service, Marketing, and AgentForce use cases • Architect and oversee integrations between Salesforce Data Cloud, MuleSoft, Snowflake, and other enterprise systems using real-time and batch patterns • Own pre-sales architecture in partnership with account executives—build solution demos, estimates, and presentations that articulate the business value of Data Cloud • Evangelize the Salesforce Data Cloud vision, including modern data activation, zero-copy architecture, and industry-specific applications • Explore and implement emerging AI capabilities, including GPT & LLM-driven use cases powered by unified customer data