System Automation Engineer - AI & Python Developer Experience

The Dispatch and Logging team is looking for specialists eager to develop mission-critical products. As part of a cross-functional Product Team, you will actively participate in the end-to-end development process, focusing on transforming and automating our engineering environments, enhanced by AI assistance. We are looking for an open, passionate candidate with a strong focus on applying cutting-edge AI tools to orchestrate dynamic infrastructure, streamline deployment workflows, and ensure robust system reliability. You will be a part of a team creating a dispatch console product for the modern operator.

Department Overview

The Computer-Aided Dispatch Center, a crucial component of cutting-edge group communication solutions, is chiefly responsible for effective dispatching. The responsibility of developing integrated dispatch solutions lies with the Astro Console Team, known for their Dispatch and Content Logging abilities.

Their principal function involves facilitating audio communication between dispatchers and radio users within the public safety sector. This includes a diverse group of professionals, such as 911 call handlers, firefighters, police, military - essentially wherever real-time, reliable, secure communication is a priority. In addition, to elevate operator performance and efficiency, an array of features are available such as call logging, instant recording, and text communication.

Our cross-functional Astro Console team, based in Cracow, is a global ensemble of 100 dedicated professionals including software engineers, testers, scrum masters, and product owners striving to deliver the best solutions.

In return for your expertise, we’ll support you in this new challenge with coaching & development every step of the way.

Also, to reward your work you’ll get:

• Private medical & dental coverage, Multisport
• Life insurance (two annual income)
• Employee Stock Purchase Plan – 15% discount for buying Motorola’s Stock units,
• Employee Pension Plan – 3,5 % of the month’s salary gross, which goes to the retirement account
• IP Tax Relief (up to 60%)
• Yearly salary increase (depends on individual performance)
• Yearly bonus (depends on company performance)
• Flexible working hours (usually day starts between 7-10)
• 8 hours working day (30 minutes lunch break included)
• Lots of sports activities such as Moto football league, Wakeboarding, Snowboarding, e-gaming league etc.
• Access to wellness facilities and integration events
• Comfortable work conditions (high-class offices, parking space)
• Volleyball field and grill place next to the office
• Training and broad development opportunities
• Motorola Solutions is supporting CSR activities and encourages employees to participat

• Hands-on experience or a strong, demonstrated interest in leveraging AI tools and agents to automate environment setup, daily scripting, and operational tasks.
• Experience using Python and other scripting languages (e.g., Bash, Groovy) for system automation, workflow scripting, and building automated quality/validation checks.
• Experience in environment automation utilizing Infrastructure as Code tools (Ansible, Terraform, or similar).
• Hands-on experience managing automated delivery pipelines and build tools (e.g., Jenkins, GitHub Actions).
• Solid understanding of automated software delivery workflows, shift-left security, and dynamic execution environments.
• Experience with Version Control Systems and SCM tools, specifically the Atlassian stack (Bitbucket, Jira).
• Practical OS knowledge from both user and administrator perspectives (Linux or Windows).
• Strong troubleshooting skills and an analytical approach to complex technical problems.
• English language skills at a level allowing efficient daily technical communication.
  

Will be a plus:

• Practical experience in integrating AI APIs (LLM orchestration) or AI coding agents into engineering workflows.
  
• Solid understanding of AWS core services and ephemeral environment provisioning.
  
• Knowledge of containerization and orchestration (Docker, Kubernetes).
  
• Understanding of Observability and monitoring platforms (Prometheus, Grafana).
  
• Knowledge of TCP/IP, networking protocols, and network services.