SAP
Dev Architect for the Autonomous Operations Platform (AIOps) - BTP Cross Projects Unit(m/w/x)
Full-time/Part-timeOn-siteSenior
Potsdam
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SASAP
Dev Architect for the Autonomous Operations Platform (AIOps) - BTP Cross Projects Unit(m/w/x)
Potsdam
Part-time, Full-timeOn-siteSenior
AI/ML
Nejo AI Summary
Designing distributed systems for AI-driven incident management on Kubernetes. 5+ years software architecture experience with Python, Java, or Go required. Skill growth, team support, and inclusion initiatives.
Requirements
- 5+ years software architecture experience
- Proven track record solving complex problems
- Deep expertise in Python, Java, Go
- Focus on distributed systems
- Focus on service integration
- Focus on cloud-native architecture at scale
- Expert-level Kubernetes skills
- Operator development
- Custom controllers
- Production operations across multi-cloud
- Strong understanding of network technologies
- IPv4/IPv6 knowledge
- VLAN knowledge
- L2/L3 firewalls knowledge
- Routing protocols knowledge
- DNS knowledge
- Written English fluency
- Spoken English fluency
- Written German fluency
- Spoken German fluency
- Strong understanding of AI/ML service consumption
- Ability to interpret AI/ML model outputs
- Integration of AI/ML into workflows
- Experience building production systems with AI/ML services
- Experience with telemetry correlation engines
- Experience with knowledge graphs
- Experience with intelligent automation platforms
- Demonstrated ability to pioneer autonomous operations solutions
- Contributions to open-source infrastructure preferred
- Contributions to open-source observability projects preferred
- Experience with Angular, React, or Vue.js beneficial
- TypeScript experience beneficial
- Professional experience
Tasks
- Conceptualize and detail autonomous operations platform
- Plan and design distributed systems for AI-driven incident management
- Build integrations with AI/ML services
- Develop Kubernetes-native operators for autonomous remediation
- Influence design and implementation of autonomous operations platform
- Design production systems utilizing AI/ML services
- Ensure core functionality during infrastructure failures and network partitions
- Solve complex challenges to eliminate manual incident response
- Enable predictive detection across distributed cloud-edge environments
- Collaborate with platform engineers, architects, and SRE teams
- Reduce mean time to resolution in production-grade systems
- Contribute to open-source projects and publicly visible work
- Tackle telemetry correlation across logs, metrics, and traces
- Perform automated root cause analysis
- Develop knowledge graph systems for runbook automation
- Support SAP’s mission to maximize automated resolution rates
- Minimize manual effort at an enterprise scale
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- Python
- Java
- Go
- Kubernetes
- Angular
- React
- Vue.js
- TypeScript
Benefits
Learning & Development
- Constant learning
- Skill growth
Other Benefits
- Great benefits
- Accessibility accommodations
Mentorship & Coaching
- Team growth support
Social Impact
- Inclusion initiatives
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SAP and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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SASAP
Dev Architect for the Autonomous Operations Platform (AIOps) - BTP Cross Projects Unit(m/w/x)
Potsdam
Part-time, Full-timeOn-siteSenior
AI/ML
Nejo AI Summary
Designing distributed systems for AI-driven incident management on Kubernetes. 5+ years software architecture experience with Python, Java, or Go required. Skill growth, team support, and inclusion initiatives.
Requirements
- 5+ years software architecture experience
- Proven track record solving complex problems
- Deep expertise in Python, Java, Go
- Focus on distributed systems
- Focus on service integration
- Focus on cloud-native architecture at scale
- Expert-level Kubernetes skills
- Operator development
- Custom controllers
- Production operations across multi-cloud
- Strong understanding of network technologies
- IPv4/IPv6 knowledge
- VLAN knowledge
- L2/L3 firewalls knowledge
- Routing protocols knowledge
- DNS knowledge
- Written English fluency
- Spoken English fluency
- Written German fluency
- Spoken German fluency
- Strong understanding of AI/ML service consumption
- Ability to interpret AI/ML model outputs
- Integration of AI/ML into workflows
- Experience building production systems with AI/ML services
- Experience with telemetry correlation engines
- Experience with knowledge graphs
- Experience with intelligent automation platforms
- Demonstrated ability to pioneer autonomous operations solutions
- Contributions to open-source infrastructure preferred
- Contributions to open-source observability projects preferred
- Experience with Angular, React, or Vue.js beneficial
- TypeScript experience beneficial
- Professional experience
Tasks
- Conceptualize and detail autonomous operations platform
- Plan and design distributed systems for AI-driven incident management
- Build integrations with AI/ML services
- Develop Kubernetes-native operators for autonomous remediation
- Influence design and implementation of autonomous operations platform
- Design production systems utilizing AI/ML services
- Ensure core functionality during infrastructure failures and network partitions
- Solve complex challenges to eliminate manual incident response
- Enable predictive detection across distributed cloud-edge environments
- Collaborate with platform engineers, architects, and SRE teams
- Reduce mean time to resolution in production-grade systems
- Contribute to open-source projects and publicly visible work
- Tackle telemetry correlation across logs, metrics, and traces
- Perform automated root cause analysis
- Develop knowledge graph systems for runbook automation
- Support SAP’s mission to maximize automated resolution rates
- Minimize manual effort at an enterprise scale
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- Python
- Java
- Go
- Kubernetes
- Angular
- React
- Vue.js
- TypeScript
Benefits
Learning & Development
- Constant learning
- Skill growth
Other Benefits
- Great benefits
- Accessibility accommodations
Mentorship & Coaching
- Team growth support
Social Impact
- Inclusion initiatives
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SAP and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
SAP
Industry
IT
Description
SAP innovations help over four hundred thousand customers worldwide work together more efficiently and use business insight more effectively.
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