The role
Portal is the cloud platform that connects Wayve to the outside world: handling data exchange with partners, surfacing AI insights, and enabling the commercial deployment of Wayve's AI driver on vehicles across the globe.
We're looking for a Senior Software Engineer, Data to help build Wayve's Data Transfer Hub: a mission-critical piece of infrastructure that will scale to transfer petabytes of sensor data per day from partners covering vehicles around the world.
This is a pivotal project at Wayve. You'll work as part of a small, high-autonomy team building a globally distributed hub-and-spoke data exchange system, working with partners like Uber, Stellantis and Nissan. Your work will help make Wayve's AI model training possible at scale.
Key responsibilities:
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Build and operate large-scale data transfer pipelines for video, LiDAR and sensor data from global partners at up to PB/day scale
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Contribute to the technical design of the Data Transfer Hub, making pragmatic trade-offs across UX, careliability, throughput, cost, partner constraints, observability and operational support
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Build parallelised, distributed data transfer pipelines using Flyte for workflow orchestration, Kafka/event-driven patterns for lifecycle tracing, and Azure for storage and transfer infrastructure
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Help implement and evolve a globally distributed hub-and-spoke data transfer model to retrieve and share sensor data at scale with partners
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Write infrastructure-as-code in Terraform and pipeline logic primarily in Python
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Build reliable operational foundations, including retry strategies, backfills, data integrity checks, lifecycle/state tracking, dashboards and alerting
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Work on cloud-to-cloud and cross-cloud networking solutions, with Azure as the primary cloud platform
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Once established, participate in an out-of-hours on-call and support rotation.
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Collaborate with product, commercial and partner-facing teams to understand constraints and deliver solutions that solve real customer and partner problems
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Work in a fast-changing environment where requirements and partner deliverable dates evolve, while maintaining high engineering standards
About you
In order to set you up for success as a Senior Software Engineer at Wayve, we’re looking for the following skills and experience.
Essential
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Proven experience building and operating large-scale data transfer, ingestion or data processing pipelines, ideally at multi-TB or PB scale
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Strong software engineering skills
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Experience delivering & maintaining production systems
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Experience with workflow orchestration for parallelised jobs; Flyte preferred, but Airflow, Prefect or similar tools are also relevant
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Experience building reliable, observable data systems, including retry strategies, backfills, data integrity checks, lifecycle/state tracking and operational alerting
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Strong cloud platform skills, with Azure preferred; experience with AWS or GCP is a plus
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Proficiency in Python and Terraform
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Experience with blob/object storage, large-scale file movement, networking or cloud-to-cloud data transfer
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A product mindset: you think about the customer and build solutions that fix real problems, not just implement requirements
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Comfort working in a fast-changing environment with evolving requirements
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A strong sense of ownership: you take responsibility for outcomes, communicate clearly, and help the team move quickly
Desirable
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Experience working with external data partners or customer-facing technical integrations
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Background in autonomous vehicles, robotics, geospatial data, video processing or other data-intensive domains
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Experience with Kafka or other event-driven systems for transfer observability and lifecycle tracking
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Experience building dashboards to communicate transfer job status
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Multi-cloud experience across Azure, AWS and/or GCP
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Experience improving cost efficiency, throughput or reliability of large-scale cloud data systems
This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.