Diligent Corporation

SaaS

StaffSoftwareEngineer(.NetandAWS)

$18000–27000k ~AI est. Budapest, Hungary Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Staff Software Engineer (. Net and AWS) at Diligent Corporation. Skills: Software engineering, Cloud-native services, AI adoption, Technical leadership. Design secure services. Deliver secure services”

What You'll Achieve.

Turn data into customer value; Turn insights into customer value; Turn actions into customer value; Deliver compliant outcomes; Deliver high-impact outcomes

Industry & Context.

SaaS
Problems you'll solve

Solve complex problems

What They're Looking For.

Must Have

7+ years experience building operating software systems, Hands-on experience designing distributed systems, Hands-on experience designing APIs, Hands-on experience designing microservices, Hands-on experience designing data models, Ability to write high-quality testable code, Ability to write maintainable code, Cloud-native engineering experience, Solid DevOps platform engineering capability, Practical experience integrating security best practices, Demonstrated ability to evaluate AI solutions, Demonstrated ability to design AI solutions, Demonstrated ability to deliver AI solutions, Communication skills, Stakeholder management skills, Ability to explain complex technical concepts, Ability to explain AI concepts, Ability to build alignment across functions, Ability to mentor engineers

Nice to Have

Experience in product engineering environments, Exposure to data-intensive systems, Familiarity with front-end technologies

What You'll Do.

Design secure services

Deliver secure services

Design scalable services

Deliver scalable services

Design resilient services

Deliver resilient services

Turn insights into value

Turn actions into value

Influence engineering direction

Solve complex technical problems

Improve developer experience

Build scaling solutions

Introduce AI capabilities

Guide technical decisions

Ensure governance in AI

Ensure observability in AI

Lead design of services

Lead delivery of services

Make architecture decisions

Set technical direction

Identify system pain points

Drive platform improvements

Drive architectural improvements

Shape product engineering landscape

Own complex initiatives

Ensure operational excellence

Partner with Security

Align technical strategy

Deliver compliant outcomes

Deliver high-impact outcomes

Drive pragmatic AI adoption

Advise on model capabilities

Advise on prompt strategy

Advise on system design

Advise on embedded governance

Advise on monitoring practices

Advise on safety practices

Provide thoughtful feedback

Provide architectural leadership

Foster culture of learning

Foster culture of experimentation

Foster culture of accountability

How You'll Work.

Team & Collaboration

Product teams; Design teams; Security teams; DevOps teams; Peer engineering leaders; Cross-functional teams

Communication Scope

Explain complex concepts; Build alignment

Process & Methodology

Agile, Roadmap planning

Full Job Description

Here’s a summary of the role: As a Staff Software Engineer at Diligent, you will play a key technical leadership role in building the product engineering capabilities behind our governance platform. You will design and deliver secure, scalable, and resilient cloud-native services that turn data, insights, and actions into meaningful customer value. This is a hands-on role for an experienced engineer who is comfortable operating at both system and organizational level. You will shape architecture, influence engineering direction across teams, and stay close enough to the implementation to help solve complex technical problems. You will work closely with Product, Design, Security, DevOps, and peer engineering leaders to evolve our platform, improve reliability and developer experience, and build solutions that scale. A key part of this role is helping us adopt AI thoughtfully and responsibly. You will influence how AI capabilities are introduced into our products and engineering workflows, guide technical decisions around model usage and prompt design, and help ensure that governance, observability, and safety are built into AI-enabled systems from the start. Here’s a breakdown of what you’ll do (not all of it, just the important stuff): Lead the design and delivery of secure, scalable, high-performance services and platform capabilities, making sound architecture decisions that balance speed, resilience, maintainability, and cost. Set technical direction across multiple teams, identifying system pain points, driving platform and architectural improvements, and helping shape the long-term evolution of our product engineering landscape. Own complex initiatives end-to-end, from problem framing and technical design through implementation, deployment, monitoring, and iteration, ensuring high quality and operational excellence throughout. Partner closely with Product, Design, Security, DevOps, and other engineering leaders to shape roadmaps, align technical strategy with b

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