Staff Data Platform Engineer (AI)

Location: London, United Kingdom; full-time role based in the London office with a hybrid working policy.

Company

hirify.global develops embodied AI software and foundation models for automated driving, including mapless and hardware-agnostic autonomy products for automakers.

What you will do

• Set the technical direction for the Data Transfer Hub, balancing reliability, throughput, cost, partner constraints, observability, and operational support.
• Lead the technical design and delivery of a globally distributed hub-and-spoke ingestion system for video, LiDAR, and sensor data at up to petabytes-per-day scale.
• Design and build parallelised data transfer pipelines using Flyte, Kafka event-driven patterns, and Azure storage and transfer infrastructure.
• Build and operate cloud-to-cloud and cross-cloud networking solutions for large-scale data movement.
• Write infrastructure-as-code with Terraform and develop pipeline logic primarily in Python.
• Work directly with external data partners, including Uber and Nissan, while adapting to evolving requirements.

Requirements

• Experience building and operating large-scale data transfer pipelines at multi-terabyte or petabyte scale.
• Experience orchestrating parallelised transfer jobs; Flyte is preferred, while Airflow and Prefect are also considered.
• Experience building reliable and observable data systems with retries, backfills, data integrity checks, lifecycle tracking, and operational alerting.
• Strong cloud platform skills, with Azure preferred, plus cloud-to-cloud networking and large-scale blob or object storage experience.
• Proficiency in Python and Terraform.
• Product mindset, autonomy, ownership, and comfort working with ambiguity and evolving requirements.

Nice to have

• Experience with Kafka for event-driven transfer observability.
• Multi-cloud experience across Azure, AWS, and/or GCP.
• Experience working directly with external data partners.
• Background in autonomous vehicles, robotics, or other data-intensive domains.

Culture & Benefits

• Hybrid work combining time in offices and workshops with time working from home.
• Core working hours with flexibility to determine a schedule that works for the team.
• Fast-paced environment with a startup-style team within a scale-up.
• Inclusive, diverse, and respectful workplace focused on learning, collaboration, and impact.

Hiring process

• Inclusive interview experience with accommodations or adjustments available on request.
• Application information can be prefilled using the candidate's CV.