Diligent Corporation is hiring a Staff Software Engineer (Data & AWS)

Here’s a summary of the role: You’re ready to work at scale — re-thinking how data is collected, processed and delivered to our customers end-to-end. As a Staff Software Engineer working on a building up a cutting edge data ecosystem, you’ll shape architectures that power feeds, analytics platforms, reports and dashboards used by customers every day. You’ll explore and apply cloud technologies, distributed systems, AI solutions, influencing technical direction while still getting hands-on with code. This role is for you if you thrive on data pipelines, APIs, cloud-native services, scalability, performance, and reliability, enjoy technical leadership, and want your engineering decisions to have visible impact from ingestion to insight. Here’s a breakdown of what you’ll do (not all of it, just the important stuff): - Set technical direction across teams, driving ai-native and cloud-native architecture and long-term system evolution - Lead design of secure, scalable MCP hosts, and AWS microservices, balancing performance, reliability, and cost - Influence AI adoption through AI first solution desing, model guidance, prompt strategy, and built-in governance and monitoring - Shape roadmaps with Product, Security, and DevOps to deliver compliant, high-impact solutions - Evaluate and pilot emerging technologies to boost developer productivity and platform capability - Mentor engineers, raising engineering standards and fostering ethical, AI-aware practices These are the essentials you’ll need to get an interview: - Deep background in enterprise software design, implementation, and operation (OOP, commercial environments) - Extensive hands-on experience with cloud native architecture and services, ideally on AWS - Strong foundation in data driven systems: data acquisition, processing pipelines, and customer facing reporting - Proven experience with delivering AI based customer solutions to production - Familiarity with modern data transformation tools such as dbt - Proven expertise with SQL and NoSQL databases, alongside APIs and microservices at scale - Senior engineer mindset: proactive problem solver, comfortable owning outcomes - Leading multiple concurrent projects and ensuring strong collaboration with a wide range of stakeholders - Passion for continuous improvement—sharing knowledge, refining processes, and raising the bar across teams - Curiosity for new tools and patterns, with a pragmatic approach to adopting what works best It would be great if you had these to, but we’ll support you if you don’t: - Experience with TypeScript and Python in production, ideally across data- and service-oriented systems - Hands-on experience with PostgreSQL and strong SQL workflows - Exposure to cloud data platforms, especially Snowflake, at scale - Comfortable working across the full data lifecycle—from ingestion to analytics and reporting