Simple Machines is a firm of expert consultants at the intersection of data architecture, data engineering, data science, and more.
This company is fully distributed with team members working remotely.
Simple Machines transforms complex data into actionable insights for enterprises, governments, and global tech companies. You will build bespoke data platforms and intelligent software, making data work in the real world. We architect and engineer highly performant, distributed, data-driven platforms and applications at massive scale. Partner with us to unleash data's potential, backed by alliances with industry leaders like GCP, AWS, Azure, and Snowflake. Our global team operates from Sydney, London, and Christchurch, delivering expert solutions.
We are a diverse, globally connected team valuing excellence, principled behavior, and unity. Some roles offer fully remote work with flexible hours, while others require close alignment with specific client teams. For example, remote roles in Poland work closely with our UK leadership team to ensure seamless collaboration. We embrace an iterative delivery model using Agile practices. Team members support each other across the full stack, fostering a culture of continuous learning and contribution. You can expect both hybrid remote and in-person collaboration depending on the role and client needs.
Engineers at Simple Machines craft solutions for complex data challenges. You will design and implement robust, data-driven APIs and build scalable backend services using JVM languages like Kotlin or Java. We leverage cloud infrastructure with AWS, Google Cloud, and Azure, implementing Infrastructure-as-Code with Terraform or Cloud Formation. Our technical approach emphasizes in-depth unit and integration testing, often using TDD and BDD. You will work with SQL databases, designing schemas and queries for demanding business requirements. We continuously explore new technologies, from functional programming with Scala to NoSQL databases like DynamoDB and containerization with Docker and Kubernetes.