On
Senior Lead - Staff Software Engineer
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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 are 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, retaining architectural context while providing guidance on data streaming standards, governance, and best practices across the ensuring effective application of organizational data streaming standards, governance, and best practices within team codebases and projects
- Be hands-on by writing and owning production code, setting a high quality bar through thoughtful PR reviews, debugging production issues, and continuously improving reliability, operability, and observability across data streaming pipelines
- Act as a technical mentor to engineers across multiple teams on event-driven architecture, streaming patterns and anti-patterns, schema design and evolution, and data contracts and ownership
- Influence the technical direction of the organization by collaborating with senior leadership, helping to 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
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- 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, and exposure to Computer Vision or an interest in learning.
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