Private Medical & Dental care & Life Insurance covered
Internal Mobility program - possibility of rotation between projects, locations, accounts
…and more!
Project Description:
We're building a Cloud Observability platform for market leading large Germany based company with 440,000 customers worldwide.
Originally known for leadership in enterprise resource planning (ERP) software, the company has evolved to become a market leader in end-to-end enterprise application software, database, analytics, intelligent technologies, and experience management. A top cloud company with 200 million users worldwide, the company helps businesses of all sizes and in all industries to operate profitably, adapt continuously, and achieve their purpose.
Responsibilities:
- Provide technical leadership and architectural guidance across multiple project workstreams
- Ensure consistency of technical standards, coding practices, and quality across teams
- Coordinate cross-team technical dependencies and integration points
- Support Delivery Manager in sprint planning, technical risk identification, and escalation resolution
- Drive AI tooling adoption plan across all workstreams (GitHub Copilot, Claude Code, AI agent frameworks)
- Oversee open-source dependency upgrades and security vulnerability remediation
- Ensure technical documentation standards are maintained (SDDs, ADRs)
- Mentor Engineers across multiple project teams
- Participate in Sprint Reviews and governance meetings as technical authority
- Support transition planning with technical knowledge transfer coordination
Mandatory Skills Description:
- Minimum 7 years of software engineering experience with at least 3 years in a technical leadership role
- Deep expertise in at least two of the following: Kubernetes orchestration, OpenSearch/Elasticsearch, OpenTelemetry, AI/ML
- Strong proficiency in Python and/or GoLang
- Proven experience managing cross-team technical dependencies in Agile environments
- Hands-on experience with CI/CD pipelines (GitHub Actions, ArgoCD, Jenkins)
- Experience with cloud-native architectures across AWS, Azure, or GCP
- Strong understanding of security practices including SIEM, mTLS, OIDC/JWT
Nice-to-Have Skills Description:
- Experience with AI/ML and Generative AI / LLM integration
- Knowledge of agent-based systems (A2A, MCP protocols)
- Experience with enterprise platform integration (BTP or similar)
- Knowledge of Istio service mesh and Gardener cluster lifecycle management
- Familiarity with Open Service Broker / Cloud Broker APIs