Staff Software Engineer (Python, AWS)

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Diligent Governance Hungary Kft.
Munkavégzés helye

Hibrid • Budapest

Munkaidő, foglalkoztatás jellege
- Teljes munkaidő
- Általános munkarend
Elvárt technológiák
- PYTHON AWS SECURITY DEVOPS NODE.JS DOCKER DATABASES SQL NOSQL AGILE
Elvárások
- Nem kell nyelvtudás
- 5-10 év tapasztalat
- Egyetem

Teljes munkaidő Általános munkarend

PYTHON AWS SECURITY DEVOPS NODE.JS DOCKER DATABASES SQL NOSQL AGILE

Nem kell nyelvtudás 5-10 év tapasztalat Egyetem

Állás elmentve

A hirdetést eltávolítottuk a mentett állásai közül.

Responsibilities

Create robust, scalable, and secure microservices that power our SaaS platform for governance
Leverage AWS (serverless or migrations) with TypeScript
Own services end-to-end (code, deployment, monitoring)
Drive architecture discussions
Regularly demo to the department
Shape AI strategy by leading design decisions, embedding AI responsibly into systems, and mentoring teams on AI capabilities, safety, and governance
Champion the design and delivery of secure, high-performance microservices on AWS
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 integrate AI features
Continuously elevate toolkit by evaluating and piloting cutting-edge technologies including AI toolchains
Own projects end-to-end from ideation to deployment, monitoring, and iteration
Mentor engineers in best practices and AI-augmented workflows
Stay ahead of emerging AI trends and regulations, adapting designs and practices to meet evolving standards

Requirements

7–10 years delivering secure, scalable applications in agile environments
Understanding of model architectures, bias and safety concerns, prompt engineering, and experience shaping AI strategy and mentoring teams on responsible AI use
Ability to architect AI systems with embedded monitoring and governance
Proficient in Python and/or (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
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

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 if within commuting distance
Diversity and inclusion initiatives including Employee Resource Groups and educational resources

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.