Senior AI Cloud Engineer

What we offer

• A flexible, hybrid work model
• Great workplace in a new modern office in Warsaw
• Career development, 360° Feedback & Mentoring programme
• Wide access to professional development tools, trainings, & conferences
• Company Bonus & Reward Structure
• VIP Medical Care Package (including Dental & Mental health)
• Holiday allowance ("

Wczasy pod gruszą")

• Life & Travel Insurance
• Pension plan
• Co-financed sport card - FitProfit
• Meals Subsidy in Office
• Additional days off
• Budget for Home Office Setup & Maintenance
• Access to Company Game Room equipped with table tennis, soccer table, Sony Play

Station 5 and Xbox Series X consoles setup with premium game passes, and massage chairs

• Tailored-made support in relocation to Warsaw when needed
• Please send your CV in English

Requirements

• Masters degree in Computer Science, Engineering, or similar
• 3-5 years of working experience in Microsoft Azure Cloud development (infrastructure as code) & proficient knowledge especially the Data Platform Stack (ML, Databricks, Data Factory, etc.) and Application Development Stack (Container Apps, Web Apps, etc.)
• Proficient Knowledge of Azure Network Design (Private Link, VPC Setup, Azure Firewall etc. ) and Azure Authentication Management
• Coding skills in PowerShell, Azure Resource Monitor/ARM, Bicep, Terraform as well as Infrastructure as Code, CI/CD, Github and Github Actions are a must
• Good knowledge about Data Modelling / Data Warehousing / Data Science / Application Development, Snowflake as a technology as well as platform architecture skills is a plus
• Problem solving - & analysis skills, combined with profound business judgement.
• Good documentation & communication skills (active listening, consulting, challenging)
• Intercultural awareness and willingness to travel. Fluent in English, both written & spoken.

Responsibilities

• Contribute to platform roadmap together with cloud architects, derive requirements for missing capabilities and participate in Azure service evaluation
• Plan, Design and Enable Services on Azure Cloud Platform & Databricks based on derived requirements in line with security guidelines & non-functional requirements like cost efficiency & scalability and documentation guidelines.
• Engage with the platform operations team and implement and deploy changes
• Train the platform operations team to operate the new features that you have built, provide them with the needed documentation
• Observe & assess platform compliance and implement solutions to ensure platform operations within compliance guidelines
• Engage with technology and implementation partners to overcome issues if required
• Engage with central cloud teams, network and security teams, cyber security teams to overcome issues if required and follow company best practices