Állás részletei
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Cég neve
Diligent Governance Hungary Kft.
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Munkavégzés helye
Hibrid • Budapest -
Munkaidő, foglalkoztatás jellege
- Teljes munkaidő
- Általános munkarend
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Elvárt technológiák
- TESTING DEVOPS PYTHON NODE.JS CLOUD AWS AZURE SQL NOSQL .C. ACCESS AGILE ANGULAR DATABASES TEST AUTOMATION
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Elvárások
- Nem kell nyelvtudás
- 5-10 év tapasztalat
- Középiskola
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Állás leírása
Responsibilities
Lead and grow a cross-functional engineering team, combining developers and QA engineers into a high-performing unit with shared accountability for quality and delivery.
Collaborate closely with Product Managers and Designers to shape features from ideation to delivery — focusing on usability, performance, and customer value.
Raise the engineering bar through thoughtful code reviews, mentoring, and continuous improvement practices.
Drive technical direction: influence architecture, cloud strategy, observability, and test automation approaches.
Cultivate quality ownership: partner with QA to evolve testing frameworks, increase automation coverage, and make quality everyone’s responsibility.
Leverage AI and automation to remove friction from development, testing, and operations — identifying opportunities for intelligent tooling and integration.
Champion responsible AI practices, ensuring transparency, explainability, and control in every AI-assisted capability.
Foster a culture of curiosity and experimentation — encouraging engineers to prototype, measure, and iterate rapidly.
Contribute hands-on when needed (code reviews, architecture discussions, proof-of-concepts) while empowering your team to own their solutions.
Collaborate closely with Product Managers and Designers to shape features from ideation to delivery — focusing on usability, performance, and customer value.
Raise the engineering bar through thoughtful code reviews, mentoring, and continuous improvement practices.
Drive technical direction: influence architecture, cloud strategy, observability, and test automation approaches.
Cultivate quality ownership: partner with QA to evolve testing frameworks, increase automation coverage, and make quality everyone’s responsibility.
Leverage AI and automation to remove friction from development, testing, and operations — identifying opportunities for intelligent tooling and integration.
Champion responsible AI practices, ensuring transparency, explainability, and control in every AI-assisted capability.
Foster a culture of curiosity and experimentation — encouraging engineers to prototype, measure, and iterate rapidly.
Contribute hands-on when needed (code reviews, architecture discussions, proof-of-concepts) while empowering your team to own their solutions.
Requirements
7+ years of professional software engineering experience, including 3+ years in a people management role.
A solid technical foundation — comfortable discussing system design, code quality, and architectural trade-offs.
A product-focused mindset — you think in terms of user impact and aren’t satisfied until the experience feels right.
Strong experience leading teams in agile environments, balancing delivery speed with technical quality.
Experience with modern development practices: CI/CD, trunk-based development, infrastructure-as-code, etc.
Understanding of QA practices and automation, and an appreciation for testing as a first-class citizen in software development.
Familiarity with AI/ML concepts and curiosity about practical applications (you don’t need to be a data scientist, but you should know what’s possible).
Excellent communication skills — you can translate between product, design, and engineering worlds effortlessly.
A solid technical foundation — comfortable discussing system design, code quality, and architectural trade-offs.
A product-focused mindset — you think in terms of user impact and aren’t satisfied until the experience feels right.
Strong experience leading teams in agile environments, balancing delivery speed with technical quality.
Experience with modern development practices: CI/CD, trunk-based development, infrastructure-as-code, etc.
Understanding of QA practices and automation, and an appreciation for testing as a first-class citizen in software development.
Familiarity with AI/ML concepts and curiosity about practical applications (you don’t need to be a data scientist, but you should know what’s possible).
Excellent communication skills — you can translate between product, design, and engineering worlds effortlessly.
Nice-to-have
Preferred Experience includes hands-on background in .NET, Angular, Python or Node.js, Experience with Cloud (AWS/Azure/GCP), CICD, DevOps, SQL/NoSQL databases, Use of AI-assisted developer tools such as Copilot, CodeWhisperer, or automated code review systems., Track record of shipping high-quality, user-centered products., A natural drive to push boundaries, learn fast, and make others better around you.
What we offer
Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients
We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few
We have teams all over the world. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.
Hybrid work model with expectation to work onsite at least 50% of the time if within commuting distance to an office location.
We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few
We have teams all over the world. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.
Hybrid work model with expectation to work onsite at least 50% of the time if within commuting distance to an office location.
Company info
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.
How to apply
You can submit your application on the company's website, which you can access by clicking the „Apply on company page“ button.
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