Diligent Corporation

SaaS

SeniorManager,SoftwareEngineering

$16000–24000k ~AI est. Budapest, Hungary Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Senior Manager, Software Engineering at Diligent Corporation. Skills: Software Engineering Management, AI Strategy, GRC Platforms, Distributed Systems. Lead engineering teams. Grow engineering teams”

Industry & Context.

SaaS
Problems you'll solve

Risk prediction; Intelligent workflow orchestration

What They're Looking For.

Must Have

12+ years software development, 6+ years people management, Large-scale distributed systems, Cloud computing (AWS), Infrastructure experience, CI/CD practices, DevOps practices, Agile/Scrum methodologies, AI concepts familiarity, Hiring engineers, Mentoring engineers, Fostering team growth

Nice to Have

Software architecture shaping, Performance tuning, Application security strengthening, Modern web stacks, Node.js experience, React experience, TypeScript experience, Serverless patterns exposure, Infrastructure-as-code on AWS, AWS CDK experience, Data integration workflows design, Data integration workflows operation, Regulated environments experience, Audit-heavy environments experience

What You'll Do.

Lead engineering teams

Grow engineering teams

Foster accountability

Foster inclusive culture

Foster high-performing culture

Define technical roadmap

Own technical roadmap

Ensure timely delivery

Deliver scalable solutions

Deliver maintainable solutions

Champion automation use

Boost product capabilities

Align technical strategy

Represent engineering

Promote transparent culture

Promote impact-driven culture

Drive continuous learning

Drive career development

Design AI capabilities

How You'll Work.

Team & Collaboration

Cross-functional initiatives; Agile teams

Process & Methodology

Agile, Scrum, Roadmap planning

Full Job Description

Here’s a summary of the role: In this role, you will shape the future of governance, risk, and compliance by leading engineering teams to build the next generation of GRC products that turn compliance from a reactive obligation into a strategic engine for resilience, innovation, and value creation. You will use your technical leadership to drive technical strategy for AI-first, data-driven, and integrated GRC platforms that predict risks, orchestrate intelligent workflows, and provide real-time visibility across cyber, ESG, and operational domains. Drawing on your passion for leveraging AI and automation tools, you will partner closely with product and risk leaders to design agentic and generative AI capabilities that make complex regulatory landscapes manageable and keep organizations both compliant and resilient in a rapidly changing world. At the same time, you’ll be coaching engineers to grow as architects, innovators, and owners - creating a culture where modern engineering practices, ethical governance, and human-centered decision-making are at the heart of every solution you deliver. Here’s a breakdown of what you’ll do (not all of it, just the important stuff): Lead and grow multiple agile engineering teams, fostering collaboration, accountability, and an inclusive, high-performing culture. Define and own the technical roadmap with stakeholders, ensuring timely delivery of scalable, maintainable solutions. Champion responsible use of AI and automation, integrating models, APIs, and AI-assisted tools to boost efficiency and product capabilities. Align technical strategy with business goals, representing engineering in cross-functional initiatives and promoting a transparent, impact-driven culture. Mentor and coach engineers at all levels, driving continuous learning, feedback, and career development. These are the essentials you’ll need to get an interview: 12+ years of total software development experience 6+ years in a people management or technical leaders

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