• Lead Advanced Integration: Drive the implementation of 5G features within the radio firmware, driver, and user space. • Optimize Multi-Link Performance: Integrate multiple cellular radio links into a single stream, optimizing for capacity, latency, and intelligent stream allocation across radios. • Architect Cloud Connectivity: Integrate cloud-based solutions into the cellular system and optimize the Key Performance Indicators (KPIs) critical to flight reliability. • Drive Full Ownership: Take end-to-end responsibility for the cellular setup, from establishing performance metrics to monitoring real-world test results. • Collaborate Cross-Functionally: Work closely with our RF, Systems, Device SW, and Cloud teams to build out and validate these complex setups.

• Own and lead SoSafe’s business-critical Messaging Platform, responsible for outbound communication across all products • Build and evolve a shared, multi-channel messaging backbone, abstracting provider-specific complexity and delivery mechanics away from product teams • Ensure messaging remains reliable, scalable and compliant by default - even as volume, channels and business requirements grow • Translate company and engineering strategy into a clear, outcome-driven roadmap, balancing reliability, scalability, compliance and new capabilities • Reduce delivery and operational complexity for experience squads by providing clear abstractions and reliable platform services • Drive operational excellence through improved monitoring, incident response and continuous improvement • Build strong partnerships with Product and other Platform teams to maximize impact across the organization

Role Description We are seeking a highly skilled Software Engineer with 5–7 years of experience in software development, application support, and incident management. The ideal candidate should have expertise in Python, SQL, C#, VBA. This role involves designing, developing, maintaining, and supporting applications while ensuring high performance and reliability. This role is responsible for interfacing with the operations teams to provide support. - Design, develop, test, and maintain software applications using Python, SQL, C#, VBA. - Work with MSSQL databases for data management, optimization, and query execution. - Provide incident management and support, troubleshooting software and system issues efficiently. - Collaborate with cross-functional teams to define, design, and deliver new features. - Ensure code quality, security, and performance through best practices and testing methodologies. - Maintain technical documentation for reference and reporting. - Participate in code reviews, debugging, and application enhancements. Qualifications - Fluently in Spanish Language. - 2 to 5 years of experience in software development and support. - Strong proficiency in Python, SQL, C#, VBA. - Hands-on experience in incident management and application troubleshooting. - Strong understanding of database design, performance tuning, and SQL optimization. - Experience with Cloud platforms (Azure) and modern development frameworks. - Excellent problem-solving and analytical skills. - Strong verbal and written communication skills. - Ability to work independently as well as collaboratively in a team. - Curiosity and passion for learning. Requirements - Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or a related field. - A Master’s degree in a relevant field is a plus. - Certifications in technical skills required are advantageous. - Experience in cloud-based development and deployment. - Knowledge of Agile methodologies and DevOps practices.

• Build production software – Design and implement scalable backend services, APIs, and data pipelines with a focus on reliability, performance, and maintainability • Develop agentic systems – Create autonomous agents that leverage LLMs to reason, use tools, and orchestrate complex multi-step workflows • Architect for scale – Design systems that handle real-time AI inference, conversation state, and tool execution with proper error handling and recovery • Design, develop, and deploy machine learning models that drive product features, improve user engagement, and enhance decision-making processes • Collaborate cross-functionally – Partner with Product, Design, and Engineering teams to define requirements and deliver AI-powered features. • Maintain engineering excellence – Write clean, well-tested code; conduct thorough code reviews; champion best practices across the team • Stay current – Evaluate emerging agentic frameworks, patterns, and tools; prototype new approaches to solve real problems