Diligent Corporation is hiring a Staff Software Engineer (TypeScript)

Position Overview As a Staff Software Engineer, you'll provide technical leadership, raise engineering standards, and help teams build secure, scalable SaaS products that leverage AI. This is a hands-on senior individual contributor role that combines direct implementation with broad technical leadership, often spanning teams or high-complexity domains. You'll guide architecture, influence delivery across multiple teams, and help the engineering organization solve complex platform and product challenges with a strong focus on quality and resilience. Key Responsibilities - Design and evolve robust cloud-native services and platforms, with end-to-end ownership from ideation and prototyping to deployment, monitoring, and iteration - Influence technical direction without direct authority by identifying architectural pain points and improving engineering standards - Partner closely with Product, Security, DevOps, and engineering leaders to align technical roadmaps with business priorities - Own open-ended technical problems, define both the what and the how, and help teams make sound tradeoffs through ambiguity - Establish and promote best practices for AI governance, observability, privacy, and operational controls within engineering workflows and production systems - Mentor engineers across teams, support hiring and onboarding, and raise the bar on delivery quality and the practical use of AI - Evaluate emerging technologies, frameworks, and tooling to improve developer productivity, system performance, and cost efficiency - Continuously reduce system and operational complexity by simplifying architectures, clarifying boundaries, and removing unnecessary technical friction for teams Required Experience and Skills - 7+ years of software development experience - Strong software design and coding fundamentals, primarily in TypeScript, with Python experience also relevant - Significant experience building on AWS, with service ownership across the software lifecycle - Background in cloud-native platform engineering, including infrastructure-as-code, CI/CD, observability, and security best practices - Meaningful experience with applied AI and agentic solutions, including model capabilities and tradeoffs, tool orchestration, retrieval-augmented patterns, responsible AI considerations, and cost-aware design - Comfortable communicating complex technical and AI-related concepts to diverse stakeholders - Degree in Computer Science, Engineering, Mathematics, or equivalent practical experience