• Re-architecture: Rebuild the Workflow Engine from Node.js to Go, creating a modular, high-performance foundation for billions of executions • Core abstractions: Design orchestration, state, retries, and execution guarantees with clear contracts and isolation boundaries • Performance model: Optimise for throughput-first execution while maintaining strict ordering within each workflow execution context • APIs & contracts: Define interfaces and schemas between Engine, Triggers, and Actions. Ensure consistent, reliable, and versioned communication • Reliability & observability: Partner with SRE to instrument metrics (latency, throughput, failure rate) and build replay and diagnostics tooling • Operational ownership: Own the engine’s runtime — incidents, RCA, and prevention. Deliver measurable reliability improvements (<1% failures/day) • Migration & rollout: Drive dual-run migration with progressive rollout and auto-rollback safety • Engineering culture: Set the technical benchmark for clarity, testability, and performance within Workflows and beyond

• Architect and scale the Contact Creation Engine, ensuring a single source of truth for contact data with 99.95% availability and minimal latency • Enhance and evolve the Search Engine ecosystem, working with Elasticsearch, Firestore, and ClickHouse to deliver fast, accurate search results at scale • Own and optimise cloud-native infrastructure using Docker and advanced Kubernetes (cluster management, tuning, networking, and configuration) • Establish technical standards, drive architecture governance, conduct design reviews, and champion engineering best practices • Diagnose and solve complex production issues involving latency, throughput, system contention, scaling limits, and distributed node behavior • Create and analyze postmortems and implement long-term fixes to prevent recurrence • Partner closely with Product, Platform, and DevOps teams to architect shared services and ensure platform-wide reliability • Mentor engineers, influence technical decisions, and guide long-term platform evolution

• Contribute to the design and implementation of scalable, robust, and secure application architecture under the guidance of the Director of Software Engineering. • Lead a team of developers through the full software development lifecycle — from design and development to deployment and ongoing support of SaaS products. • Drive the adoption of best practices in software engineering within your team, focusing on DevOps competencies (CI/CD), monitoring and observability, performance, and automated testing. • Oversee modernization efforts - including maintenance and migration of legacy applications while ensuring minimal disruption to existing customers. • Ensure compliance with SOC2 controls by embedding evidence collection, access management, and secure development processes into daily workflows. • Set high standards for code quality by modeling clean, maintainable coding practices and guiding the team through effective peer reviews. • Work across teams to ensure seamless integration and successful deployment of applications. • Assist in the architectural design of SaaS software systems and implement key architectural initiatives as directed. • Continuously assess and improve system performance ensuring accuracy, reliability, and scalability and drive root cause analysis for production issues. • Stay current with industry trends, emerging technologies, and best practices in software engineering and architecture.

• Design, build, and own backend APIs and gRPC services that integrate data from multiple internal teams and systems in a clean, well-architected manner • Build and evolve real-time and near–real-time backend services and data pipelines that power Exposure Management and Attack Surface Management products • Leverage AI and LLMs to enhance automation, accelerate development workflows, and improve customer-facing intelligence • Partner closely with Product and other Engineering teams to prioritize features, influence the Exposure Management roadmap, and deliver customer value on tight timelines • Provide technical leadership through design reviews, mentorship, and setting a high bar for code quality, performance, and operational reliability • Design and maintain automated CI/CD workflows, including testing, monitoring, alerting, and deployment, to ensure services are production-ready and observable