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
- BACKEND CLOUD NODE.JS AWS TESTING SECURITY API SQL DATABASES POSTGRESQL DOCKER REACT FRONTEND AGILE DEBUGGING
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Elvárások
- Nem kell nyelvtudás
- 3-5 év tapasztalat
- Középiskola
Kis türelmet...
Állás elmentve
A hirdetést eltávolítottuk a mentett állásai közül.
Állás leírása
Responsibilities
Build and operate the cloud infrastructure and backend services that power the platform
Work primarily with Node.js/TypeScript to deliver secure, scalable, and high-performing microservices on AWS
Design and maintain infrastructure as code with AWS CDK
Manage CI/CD pipelines
Own services end-to-end—from design and coding to deployment and monitoring
Mentor junior teammates
Guide architectural discussions
Champion responsible use of AI-powered tools to accelerate delivery
Build and maintain infrastructure using AWS CDK constructs and support automation across environments
Contribute to code reviews, testing practices, and maintain service stability
Implement and maintain monitoring, logging, and alerting solutions to ensure system health, observability, and reliability
Apply security best practices in infrastructure and backend services, including IAM policies, secrets management, and safe handling of sensitive data
Support and guide junior engineers, fostering collaboration, knowledge sharing, and constructive feedback
Maintain healthy development flow by adhering to Agile processes and driving iterative enhancements
Use AI tools to accelerate coding, debugging, testing, research, and code reviews, validating outputs and applying judgment
Understand core LLM concepts and flag ethical, privacy, or cost concerns
Work primarily with Node.js/TypeScript to deliver secure, scalable, and high-performing microservices on AWS
Design and maintain infrastructure as code with AWS CDK
Manage CI/CD pipelines
Own services end-to-end—from design and coding to deployment and monitoring
Mentor junior teammates
Guide architectural discussions
Champion responsible use of AI-powered tools to accelerate delivery
Build and maintain infrastructure using AWS CDK constructs and support automation across environments
Contribute to code reviews, testing practices, and maintain service stability
Implement and maintain monitoring, logging, and alerting solutions to ensure system health, observability, and reliability
Apply security best practices in infrastructure and backend services, including IAM policies, secrets management, and safe handling of sensitive data
Support and guide junior engineers, fostering collaboration, knowledge sharing, and constructive feedback
Maintain healthy development flow by adhering to Agile processes and driving iterative enhancements
Use AI tools to accelerate coding, debugging, testing, research, and code reviews, validating outputs and applying judgment
Understand core LLM concepts and flag ethical, privacy, or cost concerns
Requirements
3–5 years of professional software engineering experience in an agile environment
Strong proficiency in backend development with Node.js/TypeScript, RESTful API design, and microservice/serverless architectures
Hands-on experience with SQL databases (e.g., PostgreSQL) and knowledge of schema design and optimization
At least 2 years of experience working in AWS environments, including managing CI/CD pipelines and writing/maintaining AWS CDK constructs
Familiarity with infrastructure as code practices; Terraform or CloudFormation experience is a plus
Practical experience with containerization using Docker
Familiar with CI/CD workflows (GitHub Actions or equivalent)
Experience implementing and maintaining monitoring and observability solutions (e.g., CloudWatch, Datadog, Prometheus, ELK)
Knowledge of security best practices in cloud and backend development, including IAM, secrets management, and secure-by-design principles
Understanding of AI-assisted engineering, including LLM concepts, prompt engineering, and safe/ethical AI usage
Strong collaboration and communication skills, with experience discussing design trade-offs and documenting technical decisions
Familiarity with React or another modern frontend framework is a plus
Strong proficiency in backend development with Node.js/TypeScript, RESTful API design, and microservice/serverless architectures
Hands-on experience with SQL databases (e.g., PostgreSQL) and knowledge of schema design and optimization
At least 2 years of experience working in AWS environments, including managing CI/CD pipelines and writing/maintaining AWS CDK constructs
Familiarity with infrastructure as code practices; Terraform or CloudFormation experience is a plus
Practical experience with containerization using Docker
Familiar with CI/CD workflows (GitHub Actions or equivalent)
Experience implementing and maintaining monitoring and observability solutions (e.g., CloudWatch, Datadog, Prometheus, ELK)
Knowledge of security best practices in cloud and backend development, including IAM, secrets management, and secure-by-design principles
Understanding of AI-assisted engineering, including LLM concepts, prompt engineering, and safe/ethical AI usage
Strong collaboration and communication skills, with experience discussing design trade-offs and documenting technical decisions
Familiarity with React or another modern frontend framework is a plus
What we offer
Creativity is ingrained in our culture
Flexible work environment
Global days of service
Comprehensive health benefits
Meeting free days
Generous time off policy
Wellness programs
Teams all over the world with office hubs in multiple cities
Diversity is important and fostered through Employee Resource Groups and education
Hybrid work model with onsite work expected at least 50% of the time for those within commuting distance
Flexible work environment
Global days of service
Comprehensive health benefits
Meeting free days
Generous time off policy
Wellness programs
Teams all over the world with office hubs in multiple cities
Diversity is important and fostered through Employee Resource Groups and education
Hybrid work model with onsite work expected at least 50% of the time for those within commuting distance
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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