Senior Software Engineer - Backend

Who we are:

minden.ai is a technology venture founded by Temasek in strategic partnership with DFI Retail Group and coalition partners DBS Bank, Cold Storage, Gojek, Mandai Wildlife Group and Singtel. We are on a mission to redefine the engagement between brands and consumers in Southeast Asia.

The way we work:

At Minden, we treat each other with respect. We embrace authenticity and transparency. We pride ourselves on agility and innovation, and believe in embracing continuous learning and self-improvement. We strive to be the preferred employer by providing comprehensive benefits, a dynamic and exciting working environment, work-life balance and effort recognition.

We are looking for individuals with grit, passion, intellectual curiosity, and a strong sense of ownership to help us build and scale products that impact millions of users. 

If you are a highly motivated engineer who enjoys solving complex technical challenges, building reliable and scalable systems, and collaborating closely with cross-functional teams to deliver exceptional user experiences. You thrive in fast-paced environments, embrace ambiguity, and continuously seek opportunities to improve products, processes, and engineering practices.
Beyond technical excellence, you care deeply about teamwork, knowledge sharing, and creating an environment where everyone can perform at their best.

As a Software Engineer, you will:

• Design, develop, test, deploy, and maintain scalable, secure, and highly available backend services and distributed systems.
• Take ownership of the full software development lifecycle for both new and existing products and features, from ideation through deployment and maintenance.
• Collaborate closely with Product Managers, Designers, and other engineering teams to understand business requirements, provide technical recommendations, and deliver high-quality solutions.
• Participate actively in system architecture and technical design discussions, balancing scalability, performance, maintainability, and operational excellence.
• Build and maintain APIs, microservices, event-driven systems, and data processing pipelines that support large-scale consumer products.
• Partner with QA and DevOps/SRE teams to embed quality, observability, security, and operational excellence into the software delivery lifecycle.
• Troubleshoot and resolve complex production issues, perform root cause analysis, and implement preventive measures to improve system reliability.
• Optimize system performance, scalability, reliability, and cost efficiency across application, database, and infrastructure layers.
• Write and maintain technical documentation, including system designs, architecture decisions, operational procedures, and testing strategies.
• Drive engineering best practices, including code quality, testing automation, CI/CD, observability, security, and software craftsmanship.
• Mentor junior engineers through code reviews, technical discussions, and knowledge sharing.
• Stay abreast of emerging technologies, industry trends, and engineering best practices, and advocate for their adoption where appropriate.
• You will also have the opportunity to learn and adopt frontend technologies, broadening your technical expertise while contributing to greater team flexibility and cross-functional collaboration.

What you should have:

• Bachelor's degree in Computer Science, Engineering or related field, or equivalent training, fellowship, or work experience.
• At least 5 years of technical hands-on experience with product backend development 
• Developed and delivered software system for millions of users
• Experience with debugging and diagnostic of distributed systems 
• Experience with performance optimization of various aspects of software systems
• Experience working in a fast-paced environment with evolving priorities and requirements is an advantage.

Bonus if you have:

• Experience in loyalty, fintech, payments, e-commerce, or consumer technology domains.
• Experience with Kubernetes, containers, and cloud-native technologies.
• Familiarity with data engineering platforms, streaming systems, or event processing frameworks.