• Build Next-Gen AI-Based Analytics Platform • Design and develop an AI-native data insights and analytics platform that delivers real-time, intelligent insights to business stakeholders • Integrate AI agents, LangChain, LangGraph, and other AI frameworks as core platform capabilities, not afterthoughts • Build APIs and microservices that power analytics features and serve insights to end users • Create user-facing analytics capabilities that are intuitive, fast, and powered by AI • Architect Real-Time Data Infrastructure • Design and implement real-time data pipelines using streaming technologies (Kafka, AWS Kinesis, etc.) • Build event-driven architectures that process and analyze data as it arrives • Create high-performance data processing jobs optimized for speed and scalability • Ensure data flows are reliable, monitored, and self-healing • Software Engineering Excellence • Apply software engineering best practices: clean code, testing, CI/CD, version control, code reviews • Write production-grade Python and SQL code that is maintainable, testable, and well-documented • Design systems with scalability, observability, and reliability in mind • Build with modern development practices and tools • Innovation and Problem-Solving • Proactively identify inefficiencies, gaps, and opportunities for improvement in data systems and processes • Experiment with new technologies and approaches to solve complex data challenges • Drive innovation by proposing and implementing creative solutions • Take ownership of problems and see them through to resolution—be a self-starter who doesn't wait to be told what to do • Migration and Maintenance • Support and maintain existing data warehouse infrastructure during the transition period • Plan and execute migration strategies from legacy systems to the new platform • Ensure business continuity while building the future state architecture • Collaboration and Leadership • Work closely with data analysts, data scientists, product managers, and business stakeholders to understand needs and translate them into technical solutions • Mentor junior engineers and contribute to the growth of the data engineering practice • Communicate technical concepts clearly to both technical and non-technical audiences • Leverage AI for Development • Use AI tools (including Claude, GitHub Copilot, etc.) to accelerate development and improve productivity—we care about outcomes, not how you get there • Maintain regular and reliable attendance, including being present, on time, and prepared for work as scheduled

• Lead the design and execution of a comprehensive modernization strategy that transitions Sharetec's monolithic application into a modular, scalable architecture while maintaining system stability and customer uptime • Define a multi-year technology roadmap that balances near-term pragmatism with long-term architectural vision, identifying critical refactoring opportunities and establishing clear migration paths • Establish architectural principles, patterns, and standards for both greenfield development and legacy system transformation, ensuring consistency and maintainability across teams • Conduct comprehensive technical assessments of existing systems, identifying technical debt, bottlenecks, performance constraints, and security vulnerabilities that impact scalability and developer velocity • Partner with engineering leadership to design decomposition strategies for moving from monolithic architecture to distributed, service-oriented systems while managing risk and minimizing disruption • Own critical architectural decisions across backend, frontend, and data layers, ensuring decisions are data-driven and aligned with business objectives • Lead architecture review boards and design discussions, evaluating new technologies, frameworks, and tools for adoption within the organization • Mentor senior engineers and engineering managers on architectural thinking, helping them develop the systems perspective needed for large-scale distributed systems • Create and maintain comprehensive architectural documentation, decision records (ADRs), and design patterns that guide teams through complex technical transitions • Establish and enforce code quality standards, security practices, and architectural guardrails across all development teams • Partner closely with the CTO and VP of Engineering to align architectural vision with business strategy, resource allocation, and organizational capabilities • Collaborate with Product Management to ensure technical feasibility of product roadmap items and to identify opportunities for architectural improvements within feature development • Work with DevOps and Infrastructure teams to design cloud-native architectures, CI/CD pipelines, and deployment strategies that enable safe, frequent releases • Engage with QA and Security teams to define testability, observability, and security requirements within the architecture • Communicate architectural vision and critical decisions to both technical and non-technical stakeholders, translating complexity into clear strategic narratives.

• Transcard is seeking a Senior Software Engineer to join our mixed local and remote team. • The ideal candidate will write, test, secure, and maintain code for our suite of payments APIs and services. • Write high-quality (accurate, maintainable, secure, and well-documented) C# code. • Take an active interest in learning how our systems function and interact. • Follow our Software Development Lifecycle. • Assist in defining application development project plans, including scoping, scheduling, and implementation. • Assist other software engineers and business teams in resolving problems with application systems. • Communicate with vendor software support personnel to resolve issues encountered with vendor software. • Design, run, and monitor software performance tests on new and existing programs for the purposes of correcting errors, isolating areas for improvement, and general debugging. • Provide verbal and written project status updates. • Recommend and perform software improvements and upgrades. • Provide guidance and willing to pass on knowledge to junior team members. • On-call availability on a rotating schedule with other IT personnel. • Overtime hours may be required to meet project deadlines or to assist in the resolution of production issues but are not the norm.

• Helping us to improve our infrastructure and data platform (Improving dev experience, reliability, scalability) using a lean approach. • Creating a data platform and infrastructure optimized for developments using Machine Learning and massive data processing. • Improving the development experience. • Spreading the DevOps culture in the company. • Aligning with the mission and principles of the team (accelerate product teams, platform as a product, self-service, team collaboration, small safe steps, software/technology is a means to an end, etc.) • Experience with Lean Software Development and DevOps practices (Vertical slicing, Lean approach, Continuous Delivery, pair/ensemble programming, etc.) • Understanding how product team goals contribute to the company’s success. • Ability to identify systemic problems and lead solutions that require coordination and alignment with other teams. • Ability to lead architectural and technology direction for significant company impact. • Ability to detect and respond effectively to team needs, fostering a positive working environment.