Dein persönlicher KI-Karriere-Agent
Software Engineer - Infrastructure(m/w/x)
Building and operating CI pipelines for autonomous control systems, including testing and static analysis. 3+ years of DevOps or data engineering experience required. Flexible working arrangements, focus on work-life balance.
Anforderungen
- Bachelor's or Master's degree in Computer Science, Data Engineering, Electrical Engineering, or related field
- 3+ years of Software Engineering, DevOps, data engineering, or similar roles experience
- Strong Software Engineering skills and solid experience with related tooling
- Proven experience building and managing CI pipelines for build, test and ML workloads
- Proven experience with infrastructure as code
- Proven experience with monitoring and observability tooling
- Hands-on containerization experience (Docker)
- Cloud platforms experience (AWS, GCP, or Azure)
- Software packaging & versioning experience (docker images, debian packages)
- Robotics data experience (point clouds, camera streams, timeseries data)
- Robotics & DevOps related tooling experience (Foxglove, Prometheus, Grafana)
- Hardware-in-the-loop testing setups experience
- Highly qualified candidate with requisite skills and experience
- Proficiency in English
Aufgaben
- Design and build CI pipelines
- Operate CI pipelines for software builds
- Test and lint code
- Perform static analysis
- Manage versioning and releases
- Deploy software to edge devices and cloud
- Own configuration management
- Provision infrastructure for the software department
- Collaborate with Autonomy and Perception engineers
- Translate requirements into development environments
- Enhance developer workflows
- Operate hardware-in-the-loop test setups
- Enhance fleet monitoring systems
- Collaborate with ML Ops Engineers
- Collaborate with Simulation Engineers
Berufserfahrung
- 3 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – fließend
Tools & Technologien
- clangd
- cargo
- pyrefly
- GitHub Actions
- GitLab CI
- ansible
- terraform
- grafana
- prometheus
- Docker
- AWS
- GCP
- Azure
- Foxglove
Benefits
Flexibles Arbeiten
- Work-life balance
- Flexible working arrangements
Gefällt dir diese Stelle?
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Software Engineer - Infrastructure(m/w/x)
Building and operating CI pipelines for autonomous control systems, including testing and static analysis. 3+ years of DevOps or data engineering experience required. Flexible working arrangements, focus on work-life balance.
Anforderungen
- Bachelor's or Master's degree in Computer Science, Data Engineering, Electrical Engineering, or related field
- 3+ years of Software Engineering, DevOps, data engineering, or similar roles experience
- Strong Software Engineering skills and solid experience with related tooling
- Proven experience building and managing CI pipelines for build, test and ML workloads
- Proven experience with infrastructure as code
- Proven experience with monitoring and observability tooling
- Hands-on containerization experience (Docker)
- Cloud platforms experience (AWS, GCP, or Azure)
- Software packaging & versioning experience (docker images, debian packages)
- Robotics data experience (point clouds, camera streams, timeseries data)
- Robotics & DevOps related tooling experience (Foxglove, Prometheus, Grafana)
- Hardware-in-the-loop testing setups experience
- Highly qualified candidate with requisite skills and experience
- Proficiency in English
Aufgaben
- Design and build CI pipelines
- Operate CI pipelines for software builds
- Test and lint code
- Perform static analysis
- Manage versioning and releases
- Deploy software to edge devices and cloud
- Own configuration management
- Provision infrastructure for the software department
- Collaborate with Autonomy and Perception engineers
- Translate requirements into development environments
- Enhance developer workflows
- Operate hardware-in-the-loop test setups
- Enhance fleet monitoring systems
- Collaborate with ML Ops Engineers
- Collaborate with Simulation Engineers
Berufserfahrung
- 3 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – fließend
Tools & Technologien
- clangd
- cargo
- pyrefly
- GitHub Actions
- GitLab CI
- ansible
- terraform
- grafana
- prometheus
- Docker
- AWS
- GCP
- Azure
- Foxglove
Benefits
Flexibles Arbeiten
- Work-life balance
- Flexible working arrangements
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Gravis
Branche
Engineering
Beschreibung
Gravis builds high-tech systems that give machine operators superhuman capabilities by fusing data into an autonomous control system.
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