Lead Streaming Platform Engineer

We are seeking a highly skilled and motivated Streaming Platform Engineer to join the Data Streaming Platform team. This is a unique hybrid role that combines the disciplines of platform, software, and data engineering to build, scale, and maintain our high-performance, real-time data streaming platform. The ideal candidate should have a passion for architecting robust, scalable systems to enable data-driven products and services at massive scale.

• 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.

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.

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.

London

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.

• Step One

  It starts with you...

  You'll start by submitting your application to a specific role. We try to keep this step as simple as possible. We do get a lot of applications, but we review them all. If you're a good fit to the role, a recruiter will follow up with you directly. If you didn't receive a reply, or were unsuccessful this time around, we encourage you to look for other possible matches at On.

• Step Two

  Interview with a recruiter

  What ignites your spirit? This is where we’ll start getting to know all about you and what makes you tick – and it’s your first chance to get a feel for our culture. Chatting with a member of our talent team, you’ll learn more about On and how we work. We’ll learn about what motivates you and what you could bring to the team.

• Step Three

  Interview with a hiring manager

  Ready to dig into the details? This second interview will be held with your future manager and will focus on the specifics of the job. Together you’ll delve into your unique skills and experiences and how they could be relevant at On. It's also a time to assess how you might feel working side-by-side. Bring any questions you have about the job, the team or anything else you might like to know – this is an open forum.

• Step Four

  The Case Study

  What's your style? This task will help us understand how you think, face a challenge and give insight into your novel ideas. Designed to give everyone their best shot, your case study is based on something you might typically experience on the job. This is your chance to show us what you’ve got. So express yourself. Be you.

• Step Five

  The Experience Day

  Your first taste of the Oniverse. This is a time to meet some of the people you'll be working closest with. In person or virtually, you'll get a feel for the day-to-day at On and the people who make it happen. You'll chat with a few potential teammates - the conversations will be as equally driven by the role and your experience as by our values. We believe how you do things is just as important as what you do.

• Step Six

  The Result

  Are we a good fit? We’ll get together internally to share our feedback and decide if we’re a match. We know that job searching is a big time investment, so it’s not a decision we take lightly. It’s also time for you to reflect on the experience – are we the right place for you? No matter the outcome, we’ll give you meaningful feedback.