Software Engineer - Python

What is Splore? Splore is redefining how enterprises harness the power of generative AI and multi-agent systems. We work closely with established partners across industries like finance, legal, and tech, enabling them to solve real-world challenges and drive productivity. We integrate state-of-the-art AI technologies into existing business workflows, offering end-to-end solutions that enhance decision-making and streamline operations. Backed by industry leaders Temasek and Menyala, and powered by a team of AI and machine learning experts, Splore delivers AI applications to stay ahead in a rapidly evolving, data-driven landscape. What is the role? We are seeking a motivated Python Engineer with a strong proficiency in Python and FastAPI. The ideal candidate will have 3-4 years of experience working with cloud platforms, implementing diverse APIs, ensuring application performance, and adhering to software engineering best practices. Proficiency in cloud-native applications, containerization, database technologies, and CI/CD pipelines is also essential. Additionally, experience as a Data Engineer or with technologies such as Apache Spark and data lakes, as well as distributed data systems, is highly beneficial. Key strengths in problem-solving, communication, and teamwork are highly desired. This position offers the opportunity to apply Python skills to real-world projects and gain valuable hands-on experience. Responsibilities In this role, you will: Collaborate with other engineers to design, develop, and deploy scalable microservices using Python and FastAPI. Assist with cloud platforms (AWS, Azure, GCP, etc.) to build and manage cloud-native applications. Support cross-functional teams to understand requirements and deliver innovative solutions. Implement RESTful, GraphQL, and gRPC APIs; integrate with external systems and databases. Ensure high performance and responsiveness of applications. Utilize experience in data engineering to manage and process large datasets using technologies such as Apache Spark and data lakes. Work with distributed data systems, understanding replication, partitioning, transactions, fault tolerance, and consistency. Handle batch processing, stream processing, data storage, and retrieval concepts. Develop and utilize data models and querying techniques for efficient data management. Write clean, maintainable, and efficient code. Participate in code reviews; adhere to best practices in software development. Troubleshoot, debug, and upgrade existing systems. Stay up-to-date with emerging trends in software engineering and cloud technologies. Attributes We are looking for a Python Engineer with the following: Dealing with Ambiguity – You thrive in navigating dynamic environments, making informed decisions amid evolving scenarios and comfortably embracing uncertainty. Collaborates – We're all about teamwork here. You will work closely with the Senior Engineers to develop and implement scalable microservices using Python and FastAPI. Close cross functional collaboration with our Product, Design and Engineering teams will be key in building our gaming search engine! Nimble Learning – We're looking for someone who thrives in a startup environment. You're not afraid to get your hands dirty and learn through experimentation when faced with fresh challenges. You're always on the pulse of the latest Python trends and immersing yourself in new technologies. Functional/ Technical Skills – Strong foundation in software development, particularly in Python, along with prior experience in constructing and overseeing microservices within cloud environments. Proficient in FastAPI or similar frameworks for building RESTful services. Familiarity with CI/CD pipelines and tools (e.g., Jenkins, GitLab CI). Experience with database technologies (SQL and NoSQL). Experience with data engineering tools and technologies like Apache Spark and data lakes. Understanding of replication, partitioning, transactions, fault tolerance, and consistency in distributed data systems. Knowledge of batch processing, stream processing, data storage, and retrieval concepts. Proficiency in developing and utilizing data models and querying techniques. Knowledge of software engineering best practices, including coding standards, code reviews, source control management, build processes, and testing.