Lead Streaming Platform Engineer

Descrizione del lavoro:

- 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. - Monitor platform performance, troubleshoot issues, and implement observability solutions (metrics, logging, tracing) to ensure the platform's health and stability. - Stay up-to-date with the latest advancements in streaming and distributed systems technologies and propose innovative solutions to technical challenges.
You will be part of a talented and diverse team of data engineers, data scientists and product managers focused on revolutionizing the use of stream-processing across the organization. We are building innovative data solutions to optimize internal processes, enhance customer experiences, and drive business growth.
On is a place that is centered around growth and progress. We offer an environment designed to give people the tools to develop holistically - to stay active, to learn, explore and innovate. Our distinctive approach combines a supportive, team-oriented atmosphere, with access to personal self-care for both physical and mental well-being, so each person is led by purpose. On is an Equal Opportunity Employer. We are committed to creating a work environment that is fair and inclusive, where all decisions related to recruitment, advancement, and retention are free of discrimination

Requisiti del candidato:

This is a hybrid role, and we understand that candidates may not have experience with every single technology listed. We encourage you to apply if you have a strong foundation in a majority of these areas. - Streaming Platforms & Architecture: Strong production experience with Apache Kafka and its ecosystem (e.g., Confluent Cloud, Kafka Streams, Kafka Connect). Solid understanding of distributed systems and event-driven architectures, and how they drive modern microservices and data pipelines. - Real-Time Data Pipelines: Experience building and optimizing real-time data pipelines for ML, analytics and reporting, leveraging technologies such as Apache Flink, Spark Structured Streaming, and integration with low-latency OLAP systems like Apache Pinot. - Platform Infrastructure & Observability: Hands-on experience with major Cloud Platforms (AWS, GCP, or Azure), Kubernetes and Docker, coupled with proficiency in Infrastructure as Code (Terraform). Experience integrating and managing CI/CD pipelines (GitHub Actions) and implementing comprehensive Observability solutions (New Relic, Prometheus, Grafana) for production environments. - Programming Languages: Proficiency in at least one of the following: Python, Typescript, Java, Scala or Go. - Data Technologies: Familiarity with data platform concepts, including data lakes and data warehouses