Asks for

The ad says“You have hands-on experience in Site Reliability Engineering or a similar role supporting live production systems. You’re a strong programmer in Python, C++ or Rust, with solid Linux fundamentals and experience with cloud platforms, containers and Kubernetes. You understand observability practices and tools such as Datadog, Prometheus, Grafana, OpenTelemetry or Splunk, and can explain concepts including SLIs, SLOs and error budgets. Most importantly, you’re comfortable debugging complex distributed systems across software, networking, operating systems and hardware-adjacent environments, and you bring a collaborative, detail-oriented approach to incident response and continuous improvement.”
The ad says“You have hands-on experience in Site Reliability Engineering or a similar role supporting live production systems. You’re a strong programmer in Python, C++ or Rust, with solid Linux fundamentals and experience with cloud platforms, containers and Kubernetes. You understand observability practices and tools such as Datadog, Prometheus, Grafana, OpenTelemetry or Splunk, and can explain concepts including SLIs, SLOs and error budgets. Most importantly, you’re comfortable debugging complex distributed systems across software, networking, operating systems and hardware-adjacent environments, and you bring a collaborative, detail-oriented approach to incident response and continuous improvement.”
The ad says“You have hands-on experience in Site Reliability Engineering or a similar role supporting live production systems. You’re a strong programmer in Python, C++ or Rust, with solid Linux fundamentals and experience with cloud platforms, containers and Kubernetes. You understand observability practices and tools such as Datadog, Prometheus, Grafana, OpenTelemetry or Splunk, and can explain concepts including SLIs, SLOs and error budgets. Most importantly, you’re comfortable debugging complex distributed systems across software, networking, operating systems and hardware-adjacent environments, and you bring a collaborative, detail-oriented approach to incident response and continuous improvement.”
The ad says“You have hands-on experience in Site Reliability Engineering or a similar role supporting live production systems. You’re a strong programmer in Python, C++ or Rust, with solid Linux fundamentals and experience with cloud platforms, containers and Kubernetes. You understand observability practices and tools such as Datadog, Prometheus, Grafana, OpenTelemetry or Splunk, and can explain concepts including SLIs, SLOs and error budgets. Most importantly, you’re comfortable debugging complex distributed systems across software, networking, operating systems and hardware-adjacent environments, and you bring a collaborative, detail-oriented approach to incident response and continuous improvement.”
The ad says“You have hands-on experience in Site Reliability Engineering or a similar role supporting live production systems. You’re a strong programmer in Python, C++ or Rust, with solid Linux fundamentals and experience with cloud platforms, containers and Kubernetes. You understand observability practices and tools such as Datadog, Prometheus, Grafana, OpenTelemetry or Splunk, and can explain concepts including SLIs, SLOs and error budgets. Most importantly, you’re comfortable debugging complex distributed systems across software, networking, operating systems and hardware-adjacent environments, and you bring a collaborative, detail-oriented approach to incident response and continuous improvement.”
The ad says“You have hands-on experience in Site Reliability Engineering or a similar role supporting live production systems. You’re a strong programmer in Python, C++ or Rust, with solid Linux fundamentals and experience with cloud platforms, containers and Kubernetes. You understand observability practices and tools such as Datadog, Prometheus, Grafana, OpenTelemetry or Splunk, and can explain concepts including SLIs, SLOs and error budgets. Most importantly, you’re comfortable debugging complex distributed systems across software, networking, operating systems and hardware-adjacent environments, and you bring a collaborative, detail-oriented approach to incident response and continuous improvement.”
The ad says“You have hands-on experience in Site Reliability Engineering or a similar role supporting live production systems. You’re a strong programmer in Python, C++ or Rust, with solid Linux fundamentals and experience with cloud platforms, containers and Kubernetes. You understand observability practices and tools such as Datadog, Prometheus, Grafana, OpenTelemetry or Splunk, and can explain concepts including SLIs, SLOs and error budgets. Most importantly, you’re comfortable debugging complex distributed systems across software, networking, operating systems and hardware-adjacent environments, and you bring a collaborative, detail-oriented approach to incident response and continuous improvement.”
The ad says“You have hands-on experience in Site Reliability Engineering or a similar role supporting live production systems. You’re a strong programmer in Python, C++ or Rust, with solid Linux fundamentals and experience with cloud platforms, containers and Kubernetes. You understand observability practices and tools such as Datadog, Prometheus, Grafana, OpenTelemetry or Splunk, and can explain concepts including SLIs, SLOs and error budgets. Most importantly, you’re comfortable debugging complex distributed systems across software, networking, operating systems and hardware-adjacent environments, and you bring a collaborative, detail-oriented approach to incident response and continuous improvement.”
The ad says“You have hands-on experience in Site Reliability Engineering or a similar role supporting live production systems. You’re a strong programmer in Python, C++ or Rust, with solid Linux fundamentals and experience with cloud platforms, containers and Kubernetes. You understand observability practices and tools such as Datadog, Prometheus, Grafana, OpenTelemetry or Splunk, and can explain concepts including SLIs, SLOs and error budgets. Most importantly, you’re comfortable debugging complex distributed systems across software, networking, operating systems and hardware-adjacent environments, and you bring a collaborative, detail-oriented approach to incident response and continuous improvement.”
The ad says“You have hands-on experience in Site Reliability Engineering or a similar role supporting live production systems. You’re a strong programmer in Python, C++ or Rust, with solid Linux fundamentals and experience with cloud platforms, containers and Kubernetes. You understand observability practices and tools such as Datadog, Prometheus, Grafana, OpenTelemetry or Splunk, and can explain concepts including SLIs, SLOs and error budgets. Most importantly, you’re comfortable debugging complex distributed systems across software, networking, operating systems and hardware-adjacent environments, and you bring a collaborative, detail-oriented approach to incident response and continuous improvement.”
The ad says“You have hands-on experience in Site Reliability Engineering or a similar role supporting live production systems. You’re a strong programmer in Python, C++ or Rust, with solid Linux fundamentals and experience with cloud platforms, containers and Kubernetes. You understand observability practices and tools such as Datadog, Prometheus, Grafana, OpenTelemetry or Splunk, and can explain concepts including SLIs, SLOs and error budgets. Most importantly, you’re comfortable debugging complex distributed systems across software, networking, operating systems and hardware-adjacent environments, and you bring a collaborative, detail-oriented approach to incident response and continuous improvement.”
The ad says“You have hands-on experience in Site Reliability Engineering or a similar role supporting live production systems. You’re a strong programmer in Python, C++ or Rust, with solid Linux fundamentals and experience with cloud platforms, containers and Kubernetes. You understand observability practices and tools such as Datadog, Prometheus, Grafana, OpenTelemetry or Splunk, and can explain concepts including SLIs, SLOs and error budgets. Most importantly, you’re comfortable debugging complex distributed systems across software, networking, operating systems and hardware-adjacent environments, and you bring a collaborative, detail-oriented approach to incident response and continuous improvement.”
The ad says“You have hands-on experience in Site Reliability Engineering or a similar role supporting live production systems. You’re a strong programmer in Python, C++ or Rust, with solid Linux fundamentals and experience with cloud platforms, containers and Kubernetes. You understand observability practices and tools such as Datadog, Prometheus, Grafana, OpenTelemetry or Splunk, and can explain concepts including SLIs, SLOs and error budgets. Most importantly, you’re comfortable debugging complex distributed systems across software, networking, operating systems and hardware-adjacent environments, and you bring a collaborative, detail-oriented approach to incident response and continuous improvement.”
The ad says“You have hands-on experience in Site Reliability Engineering or a similar role supporting live production systems. You’re a strong programmer in Python, C++ or Rust, with solid Linux fundamentals and experience with cloud platforms, containers and Kubernetes. You understand observability practices and tools such as Datadog, Prometheus, Grafana, OpenTelemetry or Splunk, and can explain concepts including SLIs, SLOs and error budgets. Most importantly, you’re comfortable debugging complex distributed systems across software, networking, operating systems and hardware-adjacent environments, and you bring a collaborative, detail-oriented approach to incident response and continuous improvement.”
The ad says“You have hands-on experience in Site Reliability Engineering or a similar role supporting live production systems. You’re a strong programmer in Python, C++ or Rust, with solid Linux fundamentals and experience with cloud platforms, containers and Kubernetes. You understand observability practices and tools such as Datadog, Prometheus, Grafana, OpenTelemetry or Splunk, and can explain concepts including SLIs, SLOs and error budgets. Most importantly, you’re comfortable debugging complex distributed systems across software, networking, operating systems and hardware-adjacent environments, and you bring a collaborative, detail-oriented approach to incident response and continuous improvement.”
The ad says“You have hands-on experience in Site Reliability Engineering or a similar role supporting live production systems. You’re a strong programmer in Python, C++ or Rust, with solid Linux fundamentals and experience with cloud platforms, containers and Kubernetes. You understand observability practices and tools such as Datadog, Prometheus, Grafana, OpenTelemetry or Splunk, and can explain concepts including SLIs, SLOs and error budgets. Most importantly, you’re comfortable debugging complex distributed systems across software, networking, operating systems and hardware-adjacent environments, and you bring a collaborative, detail-oriented approach to incident response and continuous improvement.”
The ad says“You have hands-on experience in Site Reliability Engineering or a similar role supporting live production systems. You’re a strong programmer in Python, C++ or Rust, with solid Linux fundamentals and experience with cloud platforms, containers and Kubernetes. You understand observability practices and tools such as Datadog, Prometheus, Grafana, OpenTelemetry or Splunk, and can explain concepts including SLIs, SLOs and error budgets. Most importantly, you’re comfortable debugging complex distributed systems across software, networking, operating systems and hardware-adjacent environments, and you bring a collaborative, detail-oriented approach to incident response and continuous improvement.”
The ad says“You have hands-on experience in Site Reliability Engineering or a similar role supporting live production systems. You’re a strong programmer in Python, C++ or Rust, with solid Linux fundamentals and experience with cloud platforms, containers and Kubernetes. You understand observability practices and tools such as Datadog, Prometheus, Grafana, OpenTelemetry or Splunk, and can explain concepts including SLIs, SLOs and error budgets. Most importantly, you’re comfortable debugging complex distributed systems across software, networking, operating systems and hardware-adjacent environments, and you bring a collaborative, detail-oriented approach to incident response and continuous improvement.”

Before the detail, here's the challenge you'd help us solve.

We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.

Here’s what this particular role covers.

🛠️ About our Fleet Reliability Engineering Teams

Our Fleet Reliability Engineering team helps ensure the systems supporting Wayve’s autonomous vehicle operations are reliable, observable and scalable. Working across vehicle software, backend services, infrastructure, networking and fleet operations, the team tackles complex reliability challenges that span both cloud and vehicle-adjacent environments. You’ll collaborate closely with engineering and operations teams to improve resilience and help keep our vehicles operating safely and efficiently on public roads.

🧠 Your day-to-day

You’ll monitor live system health using logs, metrics, traces, alerts and reliability dashboards, identifying issues before they affect operations. When incidents occur, you’ll investigate them end to end—forming hypotheses, analysing data and driving problems through mitigation to root cause. You’ll participate in the on-call rotation, contribute to post-incident reviews and partner with teams across Wayve to prevent recurring failures.

🧩 What you’ll be working on

You’ll build tools and automation that reduce manual operational work and improve how quickly issues can be detected and resolved. This includes developing meaningful service-level indicators and objectives, improving monitoring and alerting, and creating automated checks and remediation workflows. You’ll also influence system design, turning recurring operational pain points into lasting improvements across software, infrastructure, networking and fleet operations.

🙌 You should apply if

You have hands-on experience in Site Reliability Engineering or a similar role supporting live production systems. You’re a strong programmer in Python, C++ or Rust, with solid Linux fundamentals and experience with cloud platforms, containers and Kubernetes. You understand observability practices and tools such as Datadog, Prometheus, Grafana, OpenTelemetry or Splunk, and can explain concepts including SLIs, SLOs and error budgets. Most importantly, you’re comfortable debugging complex distributed systems across software, networking, operating systems and hardware-adjacent environments, and you bring a collaborative, detail-oriented approach to incident response and continuous improvement.

🌱 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.

More about Wayve:

🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines.

Our ambition is to make autonomy universal. Wayve’s mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility.

How we work 💻- Locations & Flexible Working:

Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives.

🔍 The Interview Process:

Our process is clear and respectful of your time:

Initial call / recruiter screen
Competency Interviews
Deep-dive technical interviews
Final interview:

We’ll always explain the format and work around your availability.

What’s in it for you (Location dependant):

💰 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

A quick, honest note before you apply.

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

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.