In short
Our Product R&D business is performing and growing strongly, which is why we are looking for a Staff Software Engineer with a strong focus on event‑driven architectures to help scale On’s business to the next level. As a key member of our engineering team, you will play a pivotal role in leading the development of data streaming for product data throughout its lifecycle. In addition to being hands‑on, you will mentor team members, share your knowledge and expertise, and influence the technical direction of the organization. You will be based in London (or within commutable distance) and be willing to be in the office two days per week. You will collaborate closely with teams in Zurich, Berlin, Ho Chi Minh and London, and work with Technology and Product Development departments across On’s global office locations.
Your mission
- Drive the development of data streaming across our event‑based architecture, using technologies such as Kafka and Node.js.
- Own technical knowledge across multiple domains, retain architectural context, and provide guidance on data‑streaming standards, governance, and best practices.
- Act as a technical mentor, coaching engineers across multiple teams on event‑driven architecture, streaming patterns and anti‑patterns, schema design, evolution, and data contracts.
- Write and own production code, set a high quality bar through thoughtful PR reviews, debug production issues, and continuously improve reliability, operability, and observability of data‑streaming pipelines.
- Influence the technical direction of the organization by collaborating with senior leadership, helping establish well‑designed and well‑documented architectures, and bringing systems into production.
- Collaborate with cross‑functional teams to define technical solutions for data streaming and data governance, aligning with business goals and stakeholder needs.
Your story
- 5+ years of experience building and operating large‑scale event‑driven systems in production.
- Extensive hands‑on experience with Apache Kafka in production, including modeling data pipelines and applying streaming patterns and anti‑patterns.
- Experience leading complex technical initiatives, partnering with multiple stakeholders and teams, and providing technical direction to others.
- Experience mentoring and coaching engineers, providing guidance and feedback to support growth and development.
- Exceptional verbal and written communication skills, with the ability to clearly articulate complex technical concepts to senior leaders, technical stakeholders, and cross‑functional teams.
- Nice to have: AI and Data engineering fundamentals and exposure to BigQuery; previous experience in manufacturing lifecycle or production of physical goods; exposure to Computer Vision or interest in learning.
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.
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