• Establish Sri Lanka engineering hub to extend global coverage • Build, scale, and technically lead a team starting at 4–5 engineers and growing to 10+ • Report directly to the CTO in London • Shape an engineering culture from the ground up inside a technology-intensive trading firm

• Lead the design and implementation of features and systems that directly drive monetization • Partner with product and design to define and run experiments, then help translate results into roadmap decisions • Be hands-on across the full stack building features for our users and improving the scalability, reliability, and observability of pricing and other systems under the Revenue Growth team's ownership areas • Mentor engineers and set strong technical and testing standards • Ship A/B tests and be invested in the outcomes to improve conversion and retention through understanding user behavior • Influence and align on architecture and guide technical decisions across teams.

• Design, develop, and maintain software for SDR and RF systems, including real-time signal acquisition and processing pipelines. • Implement and optimize DSP algorithms (e.g., filtering, detection, estimation, spectral analysis, synchronization) for embedded and low-latency environments. • Develop firmware for microcontrollers and embedded processors, including peripheral drivers and communication interfaces (SPI, I2C, UART, CAN, Ethernet, etc.). • Design and implement sensor fusion and state estimation algorithms for multi-sensor systems operating in real time. • Collaborate closely with hardware and FPGA engineers to define system interfaces, partition functionality across hardware/software boundaries, and optimize overall system performance. • Support integration and testing of SDR platforms, including I/Q data handling and streaming architectures. • Contribute to architectural decisions that bridge traditional DSP and controls-based methods with emerging ML-enabled approaches. • Perform profiling, debugging, and performance optimization of embedded systems to ensure deterministic, reliable operation. • Mentor junior engineers through code reviews, technical guidance, and collaborative problem solving. • Document system design, interfaces, and technical decisions for internal stakeholders.

• Design and build scalable geospatial data pipelines from curated data. • Develop and operationalize spatial-temporal analytics, including movement characterization, clustering, and advanced spatial transformations. • Translate complex geospatial workflows into reliable, low-latency APIs that power web-based analytical tools. • Build and maintain interactive, map-based applications for analysts exploring sensor-derived, spatial-temporal data. • Deploy and operate services in a cloud-native environment using containerized infrastructure. • Collaborate with data scientists and domain experts to operationalize advanced analytics into robust systems. • Take ownership of features from backend ingestion through to front-end visualization in an applied research environment.