Senior Software Engineer, Data

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:

• Build and operate large-scale data transfer pipelines for video, LiDAR and sensor data from global partners at up to PB/day scale

• 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

• 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

• Help implement and evolve a globally distributed hub-and-spoke data transfer model to retrieve and share sensor data at scale with partners

• Write infrastructure-as-code in Terraform and pipeline logic primarily in Python

• Build reliable operational foundations, including retry strategies, backfills, data integrity checks, lifecycle/state tracking, dashboards and alerting

• Work on cloud-to-cloud and cross-cloud networking solutions, with Azure as the primary cloud platform

• Once established, participate in an out-of-hours on-call and support rotation.

• Collaborate with product, commercial and partner-facing teams to understand constraints and deliver solutions that solve real customer and partner problems

• 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

• Proven experience building and operating large-scale data transfer, ingestion or data processing pipelines, ideally at multi-TB or PB scale

• Strong software engineering skills

• Experience delivering & maintaining production systems

• Experience with workflow orchestration for parallelised jobs; Flyte preferred, but Airflow, Prefect or similar tools are also relevant

• Experience building reliable, observable data systems, including retry strategies, backfills, data integrity checks, lifecycle/state tracking and operational alerting

• Strong cloud platform skills, with Azure preferred; experience with AWS or GCP is a plus

• Proficiency in Python and Terraform

• Experience with blob/object storage, large-scale file movement, networking or cloud-to-cloud data transfer

• A product mindset: you think about the customer and build solutions that fix real problems, not just implement requirements

• Comfort working in a fast-changing environment with evolving requirements

• A strong sense of ownership: you take responsibility for outcomes, communicate clearly, and help the team move quickly

Desirable

• Experience working with external data partners or customer-facing technical integrations

• Background in autonomous vehicles, robotics, geospatial data, video processing or other data-intensive domains

• Experience with Kafka or other event-driven systems for transfer observability and lifecycle tracking

• Experience building dashboards to communicate transfer job status

• Multi-cloud experience across Azure, AWS and/or GCP

• 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.