DevOps Enginner (AWS) @ Adroit Group

Requirements

• 4+ years of experience as a DevOps engineer or in a similar software engineering role
• Experience working with AWS
• Experience working on Linux-based infrastructure
• Basic understanding of any back-end language (such as Python, PHP, Node.js, Go)
• Proficiency with Git and CI / CD workflows or pipelines (GitHub Actions, Gitlab CI)
• Experience in container based infrastructure (Docker)
• Configuration and managing databases such as MySQL, MongoDB, MariaDB
• Understanding networking and security principles (firewalls, VPNs, VPCs, subnet-peering etc.)
• Professional experience and understanding of IaC (Infrastructure as Code with tools like Terraform or Pulumi etc.)

An advantage, but not a requirement

• Expertise working with Kubernetes or large scale container orchestration tools
• Experience working with Kubernetes templating (Helm, Kustomize)
• Salary range 1M-1.5M HUF (gross)
• 100% remote work - work from anywhere you want!
• Flexible working hours
• Health insurance
• Adroit Checkpoint gifts after every year of presence (days off, phone, laptop, etc.)
• Facultative team building activities in Hungary and abroad

,[System analysis of the current system in use and developing plans for enhancements and improvements, Working on ways to automate and improve development and release processes, Bootstrap and maintain infrastructures from code, Build tools to enhance developer experience and speed up the deployment flow, Contribute with your system design knowledge on infrastructure planning / improvement sessions, Performance monitoring, and recommending performance enhancements, Ensuring that systems are safe and secure against cybersecurity threats] Requirements : Docker, Kubernetes, Security, Backend, Git, AWS, CI / CD, Node.js, Jira, PHP, MySQL, MongoDB, MariaDB, Python, Golang Tools : Jira, Github, Confluence, GitHub, GIT, Bitbucket, Agile, Scrum. Additionally : Small teams, International projects, Startup atmosphere, flexible working hours, Team building events, Knowledge sharing, Remote work, Private healthcare, Training budget, Flat structure.