• Take validated prototypes from concept stage to production-ready games, refactoring exploratory code into maintainable, performant systems. • Build and maintain shared game infrastructure — progression systems, save/load, analytics integration, platform APIs — that accelerates development across all titles. • Adapt core systems to the unique requirements of each new game, balancing reusability with the flexibility to support diverse gameplay experiences. • Collaborate with the Creative Engineer to establish clear technical handoff processes, ensuring promising prototypes have a smooth path to production. • Leverage AI-assisted development tools to accelerate implementation while maintaining code quality and architectural coherence. • Integrate with distribution platforms, ad networks, and third-party services to maximize reach and revenue across our portfolio. • Identify opportunities to extract reusable components from production games back into shared libraries, continuously improving our development velocity. • Contribute to technical decision-making around architecture, tooling, and process as we scale our game portfolio.

• Lead and manage a team of RPA developers, providing technical guidance and ensuring adherence to best practices. • Analyze business processes to identify automation opportunities. • Design, develop, and implement RPA solutions using UiPath. • Oversee the coding, testing, and debugging of RPA bots. • Ensure automation solutions meet quality standards and operate as intended. • Work closely with stakeholders to gather requirements and ensure automation solutions align with business needs. • Create and maintain comprehensive documentation, including: Technical design documents, Process design documents, Process maps. • Identify and resolve issues during the development and deployment of RPA processes. • Stay up to date with the latest developments in RPA technologies and recommend improvements when appropriate.

• Design, develop, test, debug, and implement embedded software in C/C++, Embedded C, and related languages. • Develop, integrate, and optimize drivers and software modules for communication buses such as SPI, I²C, USB, and UART. • Implement firmware aligned with software requirements, architecture, and system-level constraints. • Perform bug/defect analysis, debugging, and root‑cause investigations using simulation, emulation, and lab tools. • Conduct unit, integration, and system testing; follow established Software Development Lifecycle (SDLC) processes. • Utilize Software Bug Tracking, static analysis, and automated testing frameworks to ensure reliability. • Work closely with hardware engineers on board bring‑up, driver validation, and system integration. • Support manufacturing, testing, deployment, and firmware update activities across the product lifecycle. • Provide technical input to requirements, design reviews, and risk assessments. • Use Integrated Development Environments (IDE), version control, simulation tools, and Application Lifecycle Management (ALM) systems. • Develop and maintain Software Requirements Specifications and Technical Specifications. • Participate in continuous improvement of development workflows and engineering standards. • May act as a team lead or technical guide for smaller project groups. • Mentor junior engineers by sharing domain knowledge, reviewing code, and promoting best practices.

• Implement high-impact experiments and increase the throughput of the experimentation program to directly drive revenue • Support Kraken’s experimentation platform by enabling reliable exposure logging, metric collection, and experiment guardrails on the frontend • Partner with Data Engineering and Analytics to ensure experimental data aligns with canonical definitions and supports statistically sound analysis • Implement validation, monitoring, and alerting to proactively detect issues in experiment and product event data • Document and evangelize best practices for experimentation and analytics implementation, creating clear guidance for product and engineering teams • Collaborate with product teams to support experiment design needs, including metric feasibility, instrumentation tradeoffs, and implementation patterns • Improve and simplify event data flows to reduce redundancy, improve transparency, and lower long‑term maintenance costs • Contribute to the evolution of Kraken’s experimentation frameworks, enabling faster iteration while preserving analytical rigor