Software Engineer

About the Role: We are looking for a Software Engineer to help build, scale, and improve Finnomena’s products and platforms. This is a hands-on role focused on delivering high-quality software, learning from experienced engineers, and growing technical ownership over time. Responsibilities Build, enhance, and maintain product features and system components under guidance from senior engineers. Write clean, readable, and production-quality code with a strong focus on correctness and maintainability. Participate in system design discussions and contribute to technical solutions for product features. Collaborate closely with product managers, designers, and engineers to deliver customer-facing features. Help maintain and improve CI/CD pipelines, testing practices, and observability tooling. Assist in monitoring production systems and support investigation and resolution of incidents. Follow established engineering standards, best practices, and design patterns. Participate in code reviews, both giving and receiving feedback, to continuously improve code quality. Continuously learn new technologies, tools, and engineering practices to improve individual and team effectiveness. Required Skills & Experience professional software development experience. Solid understanding of software engineering fundamentals, including data structures, basic system design, and testing. Proficiency in at least one core programming language (e.g. Golang, TypeScript, Python). Experience contributing to production codebases and shipping features to users. Familiarity with version control, code review processes, and CI/CD workflows. Ability to communicate clearly and work effectively within a cross-functional team. Growth mindset with a willingness to take feedback and improve continuously. Nice to Have (GenAI Experience) Experience using AI or GenAI APIs to enhance product features. Familiarity with LLM concepts such as prompting, embeddings, or retrieval-augmented generation (RAG). Exposure to AI-enabled automation, chatbots, or intelligent product features. Awareness of AI/ML system trade-offs, limitations, and responsible AI considerations. What Success Looks Like You reliably deliver well-scoped features that meet product and quality expectations. Your code is readable, maintainable, and improves over time through feedback and iteration. You grow in technical ownership and confidence when working on production systems. You collaborate effectively with teammates and contribute positively to team culture. When opportunities arise, you help the team experiment with AI capabilities to create better user experiences.