Diligent

Software Engineer

In short

Staff/Lead Software Engineer role at Diligent, a GRC SaaS company, building secure and scalable microservices on AWS with Node.js/TypeScript while leading the company's AI strategy — including model architecture decisions, prompt engineering, and AI governance. Requires 7-10 years of experience delivering secure applications in agile environments, hands-on skills with IaC, Docker, CI/CD, and databases, plus proven ability to mentor teams on responsible AI use. Hybrid role with at least 50% onsite work near a Diligent office (Budapest, Hungary).

About Diligent
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.
What You'll Do
As a Staff Software Engineer at Diligent, you'll create robust, scalable, and secure microservices that power our SaaS platform for governance. You'll leverage AWS (serverless or migrations) with TypeScript, own services end-to-end (code, deployment, monitoring), drive architecture discussions, and regularly demo to the department. A critical part of this role is shaping our AI strategy: you'll lead design decisions, embed AI responsibly into systems, and mentor teams on AI capabilities, safety, and governance.
•Champion the design and delivery of secure, high-performance microservices on AWS, driving architecture decisions and empowering team members through mentorship.
•Set technical direction across multiple teams, spotting system pain points and proposing improvements.
•Pioneer AI-driven solutions by advising on model capabilities, crafting effective prompt strategies, and embedding governance and monitoring into development workflows.
•Partner with Product, Security, and DevOps to shape technical roadmaps, ensure compliance, and seamlessly integrate AI features that deliver real business value.
•Continuously elevate the toolkit by evaluating and piloting cutting-edge technologies (including AI toolchains), optimizing for performance, cost efficiency, and developer productivity.
•Own projects end-to-end — from ideation and prototyping to deployment, monitoring, and iteration — ensuring resilient, maintainable systems and top-notch code quality.
•Mentor engineers in best practices and AI-augmented workflows, fostering a culture of experimentation, learning, and ethical AI adoption.
•Stay ahead of emerging AI trends and regulations, proactively adapting designs and practices to meet evolving standards and steer future innovation.
Requirements
•7-10 years delivering secure, scalable applications in agile environments.
•Understanding of model architectures, bias and safety concerns, prompt engineering, and proven experience shaping AI strategy and mentoring teams on responsible AI use.
•Ability to architect AI systems with embedded monitoring and governance.
•Proficient in Node.js/TypeScript for serverless microservices on AWS; hands-on with infrastructure-as-code (CDK/Terraform), containerization (Docker), CI/CD pipelines, databases (SQL/NoSQL), and observability tools.
•Integrates security best practices (IAM, secrets management) into all work, including AI components, and embeds bias/privacy checks in delivery pipelines.
•Strong communication of technical and AI-related concepts to diverse stakeholders; proven ability to lead projects, influence engineering culture, and mentor peers in AI-augmented workflows.
•Degree in Computer Science, Engineering, Mathematics, or equivalent experience.
Offers will be negotiated based on each candidate's qualifications.
What Diligent Offers
•Eligibility to participate in the annual incentive plan, with incentives earned based on employee performance against defined metrics and company goals.
•Full-time roles are eligible for a comprehensive benefits program including medical, dental and vision coverage.
•Contribution to a 401(k) plan that includes a company match.
•Flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs.
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 follows a hybrid work model: if you are within commuting distance to one of Diligent's office locations, you will be expected to work onsite at least 50% of the time.

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