• Own outcomes end-to-end, wherever you're deployed. • Frame the problem, design it, ship it, own the metric. • Descope to the cheapest version that works. • Prototype in days. • Stay close to customers. • Shadow sales and support, join advisory conversations, and let customer reality drive technical decisions. • Propose what to build, defer, and kill. • Own your domain and share it - its interfaces, reliability, performance, and security, including on-call for the systems you own. • Consent and PII handling are central to customer trust. • Bring patterns, tooling, and hard-won context back to the wider org rather than hoarding them. • Build and scale both the product surface and the platform beneath it. • Ship responsive, accessible React interfaces with a strong UI/UX eye, back them with Node.js and Python services and APIs, and keep the cloud batch platform and data pipelines that deliver multi-tenant products reliable as they scale. • Architect AI-driven leverage. • Build AI-assisted workflows that hold up, evolve the team's practices as tooling changes, and look for product wins AI unlocks. • Multiply the teams you touch. • Mentor on judgment and product sense, not just syntax. • Write decision memos and ADRs. Enable Product and Design to self-serve.

• Own outcomes end-to-end, wherever you're deployed. • Frame the problem, design it, ship it, own the metric. • Descope to the cheapest version that works. • Prototype in days. • Stay close to customers. • Shadow sales and support, join advisory conversations, and let customer reality drive technical decisions. • Propose what to build, defer, and kill. • Own your domain and share it. • Its interfaces, reliability, performance, and security, including on-call for the systems you own. • Consent and PII handling are central to customer trust. • Bring patterns, tooling, and hard-won context back to the wider org rather than hoarding them. • Architect AI-driven leverage. • Build AI-assisted workflows that hold up, evolve the team's practices as tooling changes, and look for product wins AI unlocks (smarter routing, anomaly detection, and more). • Multiply the teams you touch. • Mentor on judgment and product sense, not just syntax. • Write decision memos and ADRs. • Enable Product and Design to self-serve.

• Lead software development projects from conception through implementation and delivery • Actively participate in architectural and software modeling decisions related to Monoliths and Microservices • Implement and maintain code written in Python and React, ensuring scalability, security, and performance • Collaborate with multidisciplinary teams to develop and maintain innovative solutions • Contribute to the definition of development best practices and design patterns • Conduct code reviews and provide technical guidance, mentoring and developing team members • Stay up to date with technology trends and propose adoption of new technologies and best practices • Participate in code refactoring and SQL query optimization • Develop code that handles large volumes of data • Develop and maintain CI/CD pipelines and automated testing

• Work in the support team, responsible for analyzing, investigating, and resolving tickets related to client systems. • Purpose of the role: Perform analysis of processes and source code to identify the root cause of issues, ensuring efficient and accurate resolution of requests. • Main responsibilities: - Handling and managing a high volume of daily tickets, performing analysis, prioritization, and handling of requests according to the established SLA; - Analyzing, prioritizing, and addressing requests according to SLA and level of criticality; - Investigating and identifying code defects; - Fixing bugs and implementing adjustments in applications; - Corrective and evolutionary maintenance of systems; - Supporting incident resolution to ensure system stability and continuity; - Analyzing processes and business rules to ensure greater efficiency in problem resolution.