Állás részletei
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Cég neve
Diligent Governance Hungary Kft.
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Munkavégzés helye
Hibrid • Budapest -
Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
- Általános munkarend
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Elvárt technológiák
- AWS SECURITY DEVOPS NODE.JS REACT JAVASCRIPT CLOUD AZURE AGILE
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Elvárások
- Angol középfok
- 5-10 év tapasztalat
- Főiskola
Állás elmentve
A hirdetést eltávolítottuk a mentett állásai közül.
Állás leírása
Responsibilities
Design and delivery of secure, high-performance microservices on AWS
Driving architecture decisions and empowering team members through mentorship
Setting technical direction across multiple teams
Spotting system pain points and proposing improvements
Pioneering AI-driven solutions by advising on model capabilities and crafting prompt strategies
Embedding governance and monitoring into development workflows
Partnering with Product, Security, and DevOps to shape technical roadmaps and ensure compliance
Integrating AI features that deliver real business value
Evaluating and piloting cutting-edge technologies including AI toolchains
Optimizing for performance, cost efficiency, and developer productivity
Owning projects end-to-end from ideation to deployment, monitoring, and iteration
Ensuring resilient, maintainable systems and top-notch code quality
Mentoring engineers in best practices and AI-augmented workflows
Fostering a culture of experimentation, learning, and ethical AI adoption
Staying ahead of emerging AI trends and regulations
Adapting designs and practices to meet evolving standards and steer future innovation
Driving architecture decisions and empowering team members through mentorship
Setting technical direction across multiple teams
Spotting system pain points and proposing improvements
Pioneering AI-driven solutions by advising on model capabilities and crafting prompt strategies
Embedding governance and monitoring into development workflows
Partnering with Product, Security, and DevOps to shape technical roadmaps and ensure compliance
Integrating AI features that deliver real business value
Evaluating and piloting cutting-edge technologies including AI toolchains
Optimizing for performance, cost efficiency, and developer productivity
Owning projects end-to-end from ideation to deployment, monitoring, and iteration
Ensuring resilient, maintainable systems and top-notch code quality
Mentoring engineers in best practices and AI-augmented workflows
Fostering a culture of experimentation, learning, and ethical AI adoption
Staying ahead of emerging AI trends and regulations
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 including transformer and retrieval-augmented models
Knowledge of bias and safety concerns in AI
Experience in prompt engineering
Proven experience shaping AI strategy and mentoring teams on responsible AI use
Ability to architect AI systems with embedded monitoring and governance
Design and review of scalable, high-performance system architectures, APIs, and data models
Writing high-quality, testable code in Node.js, React, and TypeScript/JavaScript
Lead end-to-end DevOps and platform engineering including CI/CD pipeline design with strong guardrails
Infrastructure-as-code and modern deployment strategies
Cloud observability and incident response
Cost-aware architecture and capacity planning across AWS, Azure, and GCP
Integration of security best practices including IAM and secrets management
Embedding bias and 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
Understanding of model architectures including transformer and retrieval-augmented models
Knowledge of bias and safety concerns in AI
Experience in prompt engineering
Proven experience shaping AI strategy and mentoring teams on responsible AI use
Ability to architect AI systems with embedded monitoring and governance
Design and review of scalable, high-performance system architectures, APIs, and data models
Writing high-quality, testable code in Node.js, React, and TypeScript/JavaScript
Lead end-to-end DevOps and platform engineering including CI/CD pipeline design with strong guardrails
Infrastructure-as-code and modern deployment strategies
Cloud observability and incident response
Cost-aware architecture and capacity planning across AWS, Azure, and GCP
Integration of security best practices including IAM and secrets management
Embedding bias and 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
What we offer
Flexible work environment
Global days of service
Comprehensive health benefits
Meeting free days
Generous time off policy
Wellness programs
Hybrid work model with onsite work at least 50% of the time for those within commuting distance to an office
Global days of service
Comprehensive health benefits
Meeting free days
Generous time off policy
Wellness programs
Hybrid work model with onsite work at least 50% of the time for those within commuting distance to an office
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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