wayve - Senior Software Engineer, Data
Requirements
• 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 • 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. • Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one. • If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you. • At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. • For more information visit Careers at Wayve. https://wayve.ai/careers/ To learn more about what drives us, visit Values at Wayve https://wayve.ai/careers/
Responsibilities
• Build and operate large-scale pipelines that transfer video, LiDAR and other sensor data from global partners. • Shape the technical design of the Data Transfer Hub, making pragmatic trade-offs across user experience, reliability, throughput, cost, partner constraints, observability and operational support. • Write pipeline logic primarily in Python and manage infrastructure as code with Terraform. • Work closely with product, commercial and partner-facing teams to understand constraints and solve real customer and partner problems. • Take ownership of production systems, maintaining high engineering standards as requirements and partner delivery timelines evolve. • Once the service is established, participate in an out-of-hours on-call and support rotation. • 🧩 What you’ll be working on: • A globally distributed Data Transfer Hub: implement and evolve a hub-and-spoke model for retrieving and sharing sensor data with partners at up to petabyte-per-day scale. • Parallelised, distributed transfer pipelines: use Flyte for workflow orchestration, Kafka and event-driven patterns for lifecycle tracing, and Azure for storage and transfer infrastructure. • Reliable, observable operations: build retry strategies, backfills, data integrity checks, lifecycle and state tracking, dashboards and alerting. • Cloud-to-cloud and cross-cloud connectivity: develop networking and large-scale file-transfer solutions, with Azure as the primary cloud platform. • Performance and efficiency at scale: improve throughput, reliability and cost efficiency while accommodating different partner environments and constraints. • 🙌 You should apply if: • You’ve built and operated large-scale data transfer, ingestion or processing pipelines, ideally at multi-terabyte or petabyte scale. • You have strong software engineering skills and experience delivering and maintaining production systems. • You’re proficient in Python and Terraform. • You’ve used workflow orchestration to run parallelised jobs. Flyte is preferred, but experience with Airflow, Prefect or similar tools is also relevant. • You know how to build reliable, observable data systems, including retries, backfills, integrity checks, lifecycle and state tracking, and operational alerting. • You have strong cloud platform skills, ideally with Azure, and experience with object or blob storage, large-scale file movement, networking or cloud-to-cloud transfers. • You bring a product mindset: you focus on customer needs and build solutions that address real problems, rather than simply implementing requirements. • You’re comfortable with evolving requirements and take ownership of outcomes, communicate clearly and help your team move quickly. • It’s a bonus if you also have: • Experience working with external data partners or building customer-facing technical integrations. • A background in autonomous vehicles, robotics, geospatial data, video processing or another data-intensive domain. • Experience with Kafka or other event-driven systems for transfer observability and lifecycle tracking, or dashboards that communicate transfer job status. • Multi-cloud experience across Azure, AWS and/or GCP. • Experience improving the cost efficiency, throughput or reliability of large-scale cloud data systems. • 🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement.
Benefits
• 💰 Salaries benchmarked against the market annually. • 📈 Meaningful equity, sharing in the ownership and long-term success of Wayve. • ✈️ Relocation support and visa sponsorship where applicable. • ✅ Hybrid working, core hours and the chance to work hands-on in vehicle workshops and labs. • 📚 Learning and development budgets, with support for training, conferences and growth. • 🩺 Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more. • Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one. • If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you. • At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. • For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve
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