Software Engineer (Python, AWS)

Here's a summary of the role: You're a hands-on engineer who enjoys solving complex data challenges at scale. You'll join the Data Hub team, building the shared data platform that supports reporting, analytics, AI, and Data Science initiatives across Diligent. Working with Python, SQL, AWS, and cloud-native technologies, you'll help process, organize, and enrich large volumes of data while developing scalable services and modern data solutions. You'll collaborate closely with Product Managers, Engineering Managers, and fellow engineers to deliver high-quality features, improve platform capabilities, and shape the future of our data ecosystem. If you enjoy ownership, solving challenging problems, experimenting with new technologies, and working in a collaborative environment, you'll fit right in. Here's a breakdown of what you'll do (not all of it, just the important stuff): Design, develop, review, and test features and user stories following Agile development practices Contribute to core platform development and integration projects across multiple systems Participate in shaping the future architecture of the product , including designing scalable backend services and prototypes Collaborate with Product Owners and Engineering Managers to analyze, refine, and document technical requirements Build and maintain cloud-native solutions and microservices-based applications Leverage AI-assisted development tools , code assistants, and modern engineering workflows to improve delivery efficiency Support the creation and maintenance of high-quality operational and technical documentation Continuously identify opportunities to improve engineering processes, quality, and team effectiveness These are the essentials you'll need to get an interview: 2+ years of experience in a hands-on software development role within a commercial software environment Strong programming experience with Python and its ecosystem Strong experience with SQL and relational database technologies Experience with REST APIs and microservices-based architectures Experience with cloud platforms and cloud-native development , preferably AWS Familiarity with Infrastructure as Code concepts and tools Experience using AI-powered development tools , code assistants, prompting techniques, or agent-based workflows Strong troubleshooting and problem-solving skills Technology-agnostic mindset with a passion for learning and continuous improvement Ability to manage your own workload, take ownership, and proactively drive solutions Collaborative attitude and willingness to share knowledge across the team It would be great if you had these too, but we'll support you if you don't : Experience working with Data Warehouses, Data Lakes, or event-driven architectures Hands-on experience with Airflow, Spark, or dbt Experience with Infrastructure as Code tools such as CDK or Terraform Experience with CI/CD pipelines,…