Job description
Für unseren Kunden aus der Energiebranche suchen wir derzeit einen Data Product Operations Lead (m/w/d).
Tasks:
- Lead establishing an operations team comprised of internal and external employees
- Establish and later on champion processes for incident, problem, and change management within the Data
Product Line in close collaboration with the Operations team of the program
- Release & operations management: Oversee, and proactively manage internal and external dependencies
together with architects, product management and delivery to minimize operational impact.
- Delivery support: Collaborate and validate with the Product Delivery Manager the readiness phase of
products, prior operationalization within the data product area.
- Quality Assurance: Collaborate with QA team members, implement and enforce quality assurance
measures to ensure the high quality of delivered products and services.
- Continuous Improvement: Identify opportunities for process improvements, efficiency enhancements, and
skill development within the infrastructure compute & storage delivery teams.
- Risk Management: Proactively identify and mitigate risks that may impact service quality, ensuring smooth
operations.
requirements:
- operational experience with productive applications or systems (ideally containerized and distributed)
- Thorough knowledge of containerization and container management, packaging of applications and customization of deployments
- Experience with the usage of observability tools
- very good knowledge of ITIL
- Experience with operations of various relational and non-relational data technologies (e.g. PostgreSQL, Kafka, Neo4J, etc.)
- Experience with automation and infrastructure as code and/or gitOps
- Experience with operating services on top of Kubernetes
- Experience with operations in hyperscalers (GCP and others)
- Good understanding of networking concepts, including protocols, load balancing, and security
- Knowledge of ITSM frameworks
Must have skills |
Nice to have skills |
Start date |
Length |
Engagement |
Remote |
Language requirements |
Budget |
Onsite locations |