Job Opportunities API

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   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   #LI-Hybrid   About Us Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster.  At Diligent, we're building the future with people who think boldly and move fast.  Whether you're designing systems that leverage large language models or part of a team reimaging workflows with AI, you'll help us unlock entirely new ways of working and thinking.  Curiosity is in our DNA, we look for individuals willing to ask the big questions and experiment fearlessly - those who embrace change not as a challenge, but as an opportunity.  The future belongs to those who keep learning, and we are building it together.  At Diligent, you’re not just building the future - you’re an agent of positive change, joining a global community on a mission to make an impact. Learn more at diligent.com or follow us on&n