Software Engineer (Finance & Procurement Tech)

Job description

We are looking for talented Software Engineers to build digital products to enhance organizational effectiveness and drive workforce productivity. You will be part of product team building budget-to-pay digital products to streamline finance and procurement workflows, with opportunities to incorporate AI-enabled features. Your mission is to build robust, scalable enterprise applications where accuracy, data integrity, security, and precision are the top priorities. Our product teams build cloud-native web applications that integrate with enterprise systems of record and other business applications. Our teams adopt an agile delivery approach, with a strong focus on building user-centric digital products that address real business needs. ### Responsibilities - Design and build full-stack applications using AI coding tools and hands-on development. - Build reliable APIs and integrations that connect digital products to enterprise systems. - Deliver high-quality, and maintainable code. - Collaborate with cross-functional teams to translate business requirements into scalable and reliable technical solutions - Author and maintain technical documentation (e.g. ADRs and RFCs). - Build CI/CD pipelines and ensure application observability through logging, metrics and monitoring. - Actively contribute to iterative sprint cycles by participating in peer code reviews, engaging with users, and proactively resolving issues. - Contribute to the technical community by sharing best practices, publishing internal tech blogs and leading knowledge-sharing sessions ### Requirements (Minimum Qualifications) - Background in Computer Science, Software Engineering, Information Systems, or a related field. - Good understanding of software engineering fundamentals, including data structures, software design principles, and basic database concepts. - Familiarity with modern web application development using technologies such as Spring Boot, React, Python. - Familiarity with relational databases (e.g. MSSQL), and NoSQL databases (e.g. MongoDB). - Familiarity with Search Engine (e.g. Elasticsearch). - Familiarity with Observability tooling and frameworks (e.g. OpenTelemetry). - Experience in integrating LLM and Agentic AI capabilities is a plus. - Knowledge of SAP or similar enterprise systems of record is an added advantage, particularly in building integrations with bespoke or custom applications.