Cloud / DevOps Engineer wanted for AI Knowledge Automation Platform for Jira/Confluence

- Bachelor's degree in Computer Science or related field
- Experience working as a cloud engineer, preferably in a production IT environment
- Strong knowledge of cloud platforms, such as AWS, Azure, or Google Cloud
- Experience with containerization technologies, such as Docker and Kubernetes
- Familiarity with Agile development methodologies and DevOps practices
- Excellent problem-solving and communication skills

• CloudComputing
• Cloud Architecture
• Cloud Hosting
• Continuous Delivery
• CI/CD
• Github
• AWS or Azure

You have strengths in...

• numbers, data and logic
• organizing and keeping stuff tidy
• pushing and getting things done

You already have...

• worked as fulltime employee

- Design, implement, and manage cloud infrastructure services and architecture to ensure optimal performance, reliability, and scalability.
- Automate and streamline development, testing, and deployment processes using CI/CD pipelines to enable rapid and reliable application updates.
- Monitor cloud environments, analyze performance metrics, and optimize computing resources to enhance efficiency and reduce costs.
- Implement robust security measures, manage access controls, and ensure compliance with data protection regulations to safeguard all cloud-based systems.
- Identify, diagnose, and resolve infrastructure issues, providing technical support and ensuring minimal downtime.
- Work closely with development teams to ensure that cloud solutions align with project requirements and business goals, facilitating smooth operations and innovations.

- Direct involvement in impactful AI projects.
- Mentorship from industry experts and exposure to cutting-edge AI development.
- A collaborative, innovative, and flexible work environment.
- A chance to be part of a growing startup with groundbreaking ideas.
- Significant growth potential along with the company.

Knowledge Refinery for industrial companies: transforming messy, siloed data into actionable intelligence.

Arti is a Knowledge Refinery Engine: it extracts the real workflows from systems like Jira and Confluence, and power smarter AI automation with insights generated from the chaotic operational reality, where up to 95% of AI projects, according to MIT, fail once moving beyond demo stage.

Target group

Industrial Automation, Enterprise SaaS