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):
These are the essentials you'll need to get an interview:
It would be great if you had these too, but we'll support you if you don't:
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.
Learn more at diligent.com or follow us on LinkedIn and Facebook
What Diligent Offers You
Diligent created the modern governance movement. Our world-changing idea is to empower leaders with the technology, insights and connections they need to drive greater impact and accountability – to lead with purpose. Our employees are passionate, smart, and creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place.
Headquartered in New York, Diligent has offices in Washington D.C., London, Galway, Budapest, Vancouver, Bengaluru, Munich, Singapore and Sydney. To foster strong collaboration and connection, this role will follow a hybrid work model. If you are within a commuting distance to one of our Diligent office locations, you will be expected to work onsite at least 50% of the time. We believe that in-person engagement helps drive innovation, teamwork, and a strong sense of community.
Diligent is proud to be an equal opportunity employer. We do not discriminate based on race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, protected veteran status, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Diligent's EEO Policy and US EEOC’s Know Your Rights. We are a drug free workplace.
We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at recruitment@diligent.com.
As a Simulation Engineer, you will leverage your expertise in finite element analysis (FEA) and Multi-Body Simulation (MBS) to tackle complex engineering challenges across various industries.
As a Forward Deployed Engineer, you will deploy, extend, and integrate our secure Kubernetes platform (ACRA) into real-world customer workflows.
Lead the design and delivery of complex, end-to-end product capabilities across the full stack, influencing technical decisions and mentoring engineers.
Join the Application Modernization Platform team to design and build automated frameworks that validate data integrity and performance for enterprise migrations using modern microservices architectures.
As a Software Engineer, you'll build and enhance a classification and evaluation platform, developing services and tools that empower researchers and data scientists.
