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Senior Software Engineer (Data & Orchestration)

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Onsite

Senior Software Engineer (Data & Orchestration)

Wayve

Senior Software Engineer (Data & Orchestration)

Skills

Data EngineeringPythonPostgreSQLKafkaMachine Learning

1 month ago

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Important information


Contract type:

Permanent

Location:

London, UK

Work mode:

Onsite

Published on:

12 September 2026

What they need


  • We’re looking for a Senior Software Engineer to join Wayve’s Data and Orchestration team in London, working on the platforms that power our data engineering, orchestration and inference workflows at scale
  • This team builds the infrastructure that enables partner teams to ingest, process and transform high-volume data from external vendors, vehicle fleets and customer programmes, while ensuring systems are reliable, efficient and easy to use
  • A key focus for the role will be the evolution of Wayve’s data pipeline platform, including the revamp of our existing Harness system and the development of a new DAG-based orchestration system designed for our vehicle fleet’s next generation data volumes
  • You’ll have the opportunity to help shape foundational infrastructure used across the company, supporting high-priority data runs, batch inference, evaluations and business-critical incident response
  • Design, build and evolve scalable data pipeline and orchestration infrastructure for Wayve’s next-generation autonomous driving data platform
  • Contribute to the revamp of the existing Harness system and the development of a new DAG-based workflow platform
  • Build tooling and libraries that make data ingestion, processing, inference and evaluation workflows simple, reliable and consistent across teams
  • Ensure the platform can run hundreds of parallel pipeline steps efficiently, with correct outputs, no conflicts and effective resource prioritisation
  • Support batch inference and performance optimisation workflows, helping teams run evaluations in a cost-effective and scalable way
  • Improve platform reliability, quality and usability, including incident response workflows aligned to business-defined SLOs
  • Collaborate with partner teams to understand their pipeline requirements and provide the underlying infrastructure that enables them to move quickly

Benefits

  • Private healthcare: Choose our optional health insurance for comprehensive coverage for you and your family.
  • Paid time off: Paid vacation plus public holidays and additional leave programs, ensuring you have time to unwind.
  • Mental health resources: Through Spill, you can access therapy and mental health support.
  • Community and socials: Join clubs or attend team socials to connect over hobbies, sports, or just for fun.
  • Competitive compensation: Our compensation package includes cash and equity, making you a true partner in our success.
  • Learning and development: Budgets for books, courses, and company-wide training to support your continuous growth.- Solid Python programming skills
  • Good understanding of software engineering best practices, including unit testing, integration testing, test-driven development and data-driven development
  • Familiarity with distributed event streaming platforms such as Apache Kafka
  • Experience working with systems at scale, ideally involving distributed systems, large data volumes or high-throughput processing
  • 7+ years of professional experience in software engineering or a related technical field
  • Understanding of database principles and consistency models, including concepts such as eventual consistency, strong consistency and distributed data systems
  • Familiarity with traditional databases or data warehouses such as Postgres, ClickHouse or column-oriented databases
  • Strong software engineering fundamentals, with experience designing, building and maintaining production-grade systems
  • Experience in data engineering, data platforms, workflow orchestration or pipeline infrastructure
  • Experience with machine learning infrastructure, inference systems or ML performance optimisation
  • Exposure to large-scale batch processing, compute scheduling or resource prioritisation
  • Experience with tools or frameworks such as Ray, Flyte or Spark
  • Experience building shared libraries, developer tooling or internal platforms used across multiple teams

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