On Holding

1 month ago

Lead Streaming Platform Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Leading the design, build, and maintenance of On’s real-time streaming platform. You’ll own high-availability infrastructure, implement real-time data pipelines with Kafka and Flink, and drive observability, automation, and self-service tooling to empower engineers at massive scale.

Location: London

Workplace: Hybrid

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Manager level

Key Responsibilities

•Design, build, and maintain the core infrastructure for our real-time data streaming platform, ensuring high availability, reliability, and low latency.
•Implement and optimize data pipelines and stream processing applications using technologies like Apache Kafka, Apache Flink, and Spark Streaming.
•Collaborate with software and data engineering teams to define event schemas, ensure data quality, and support the integration of new services into the streaming ecosystem.
•Develop and maintain automation and tooling for platform provisioning, configuration management and CI/CD pipelines.
•Champion the development of self-service tools and workflows that empower engineers to manage their own streaming data needs, reducing friction and accelerating development.

Key Requirements

•Strong experience designing, building, and maintaining core infrastructure for real-time data streaming platforms.
•Proficiency with Kafka ecosystem (Confluent Cloud, Kafka Streams, Kafka Connect) and distributed event-driven architectures.
•Experience with real-time data pipelines using Apache Flink, Spark Structured Streaming, and OLAP systems like Apache Pinot.
•Hands-on experience with Cloud platforms (AWS, GCP, or Azure), Kubernetes, Docker, and Infrastructure as Code (Terraform).
•Familiarity with CI/CD tooling (GitHub Actions) and observability tooling (New Relic, Prometheus, Grafana).

Experience:Data streamingCloudDistributed systems

Skills:CommunicationCollaborationProblem-solvingTeamworkAttention to detail

Languages:English

Tech Stack:Apache KafkaConfluent CloudKafka StreamsKafka ConnectApache FlinkSpark StreamingApache PinotAWSGCPAzureKubernetesDockerTerraformGitHub ActionsNew RelicPrometheusGrafanaPythonTypescriptJava

Company Brief

On Holding

Designs, manufactures, and sells performance running shoes, apparel, and accessories under the On brand. Combines Swiss engineering and innovation with lifestyle design to serve runners and athletes globally through retail and direct-to-consumer channels.

Industry: Fashion & Apparel

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Zurich, Switzerland

Founded: 2010

Glassdoor: 4.0

Website LinkedIn

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On Holding

1 month ago

Lead Streaming Platform Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: London

Workplace: Hybrid

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Manager level

Key Responsibilities

•Design, build, and maintain the core infrastructure for our real-time data streaming platform, ensuring high availability, reliability, and low latency.
•Implement and optimize data pipelines and stream processing applications using technologies like Apache Kafka, Apache Flink, and Spark Streaming.
•Collaborate with software and data engineering teams to define event schemas, ensure data quality, and support the integration of new services into the streaming ecosystem.
•Develop and maintain automation and tooling for platform provisioning, configuration management and CI/CD pipelines.
•Champion the development of self-service tools and workflows that empower engineers to manage their own streaming data needs, reducing friction and accelerating development.

Key Requirements

•Strong experience designing, building, and maintaining core infrastructure for real-time data streaming platforms.
•Proficiency with Kafka ecosystem (Confluent Cloud, Kafka Streams, Kafka Connect) and distributed event-driven architectures.
•Experience with real-time data pipelines using Apache Flink, Spark Structured Streaming, and OLAP systems like Apache Pinot.
•Hands-on experience with Cloud platforms (AWS, GCP, or Azure), Kubernetes, Docker, and Infrastructure as Code (Terraform).
•Familiarity with CI/CD tooling (GitHub Actions) and observability tooling (New Relic, Prometheus, Grafana).

Experience:Data streamingCloudDistributed systems

Skills:CommunicationCollaborationProblem-solvingTeamworkAttention to detail

Languages:English

Tech Stack:Apache KafkaConfluent CloudKafka StreamsKafka ConnectApache FlinkSpark StreamingApache PinotAWSGCPAzureKubernetesDockerTerraformGitHub ActionsNew RelicPrometheusGrafanaPythonTypescriptJava

Company Brief

On Holding

Industry: Fashion & Apparel

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Zurich, Switzerland

Founded: 2010

Glassdoor: 4.0

Website LinkedIn