Position Summary:
Join us as a
DevOps Engineer to ensure platform is robust, scalable, and continuously deployable. You'll be instrumental in automating infrastructure, monitoring performance, and enabling rapid development cycles for autonomous inspection and AI-driven analytics.
A Snapshot of your Day
How You'll Make An Impact (responsibilities Of Role)
- Build and maintain CI/CD pipelines for cloud and edge components.
- Automate deployment of microservices, digital twin modules, and robotic control interfaces.
- Monitor system health, performance, and security across distributed environments.
- Collaborate with Agile development teams to support sprint delivery and continuous integration.
- Support containerization, orchestration (Kubernetes), and infrastructure-as-code (Terraform, Bicep).
- Enable AI/ML model deployment and telemetry integration for analytics.
What You Bring (required Qualification And Skill Sets)
- Successful university degree in Computer Science, or similar.
- 3+ years in DevOps roles with industrial or IoT platforms.
- Strong proficiency in JavaScript, Angular, NodeJS, Python, and C#.
- Expertise in CI/CD tools (Azure DevOps, GitHub Actions), Docker, and Kubernetes.
- Experience with cloud platforms (Azure preferred), edge computing, and telemetry.
- Familiarity with robotic systems, OPC UA, and AI/ML deployment pipelines.
- Strong scripting skills (Python, Bash, PowerShell) and infrastructure automation.
- Experience working in Agile teams and contributing to sprint planning and retrospectives.
