Streaming Data Platform Engineer @ Spyrosoft
(práce v Polsku)

Streaming Data Platform Engineer @ Spyrosoft

Polsko

Requirements:

• InfluxDB
• Python/Java
• Ansible/Terraform/Terragrunt
• Apache Kafka/Confluent Cloud
• Docker/Kubernetes/ArgoCD/AKS
• SCMS
• CI/CD/Gitlab-CI
• Cloud

Required skills:

• At least 3 years of experience working with InfluxDB.
• At least 3 years of experience with programming languages such as Python and Java.
• Familiarity with Ansible, Terraform or Terragrunt.
• Knowledge of Apache Kafka or Confluent Cloud.
• Experience with containers in scalable environments such as Docker, Kubernetes, ArgoCD and AKS.
• Experience with SCMS and CI/CD systems like Gitlab-CI.
• Knowledge of cloud environments and services such as Azure.

Our customer is a leading German producer of customized solutions for the self-supply of solar-powered electricity. This includes photovoltaic, energy storage systems as well as cloud technology systems helping individuals to become energetically independent.

Please note that this position involves occasional on-call duty to resolve potential customer-critical incidents.

,[Configure and operate our time-series database infrastructure to store and process telemetry data., Continuously develop and optimize our stream-processing pipelines., Continuously develop and optimize our Python and Java-based applications that are close to the TSDB., Automate build and deployment processes in hybrid environments (e.g., public cloud and self-hosted)., Work closely with development teams and architects to enhance performance and features., Python development to adapt to telemetry database components, API design for scalable infrastructure and API development for interfaces from software development projects., Manage, scale, and handle access management for telemetry databases.] Requirements: DevOps, InfluxDB, Python, Java, Ansible, Terraform, Apache Kafka, Cloud, Docker, Kubernetes, ArgoCD, AKS, GitLab CI/CD, Storage, API, Azure, CA, Jenkins Additionally: Sport subscription, Training budget, Private healthcare, Flat structure, Small teams, International projects, Free coffee, Bike parking, Playroom, Shower, In-house trainings, Modern office, Startup atmosphere, No dress code.

Kategorie

devops

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