Lead Fleet Perfomance Engineer

present of AI; Wallingford; Hybrid; GBP 80,000 - 120,000; Full time

Job summary

Dexory seeks a fleet performance engineer to define fleet health, monitor telemetry, and set alert rules for a growing warehouse robotics fleet. You will work closely with hardware and software teams to turn data into fixes and improvements.

The role combines hands-on reliability engineering with leadership, coaching a small team, and staying close to the data. Familiarity with ROS, Python, SQL, Linux, and observability tools will help you triage issues and improve system stability.

Qualifications

• Hands-on reliability/operational engineering experience.
• Comfort with observability tools and data analysis.
• Experience with SQL/Python and Linux in robot/industrial settings.

Responsibilities

• Define fleet health and performance metrics for the robot fleet.
• Monitor telemetry and logs, catch problems early, and tune alert rules.
• Track configuration drift and drive fixes with engineering teams.
• Hire and coach a small team while staying close to data & robots.

Skills

Reliability engineering

Observability / monitoring tooling

SQL

Python

Linux

ROS / robotics stack

Team leadership / coaching

Tools

ROS tooling

Telemetry dashboards

Job description

This role builds and runs a fleet performance function for a growing robot fleet. It means defining what fleet health means, watching telemetry and logs to catch problems early, setting alert rules, tracking configuration drift, and turning findings into fixes with engineering teams. A strong candidate brings hands on reliability or operations engineering, comfort with observability tools, SQL and Python, systems depth with Linux and ideally a robotics stack, and the judgement to tell an odd robot from a failing one. It also asks for someone who wants to hire and coach a small team while staying close to the data and the robots.

How it fits the AI era

The robots feed an AI digital twin, so the fleet produces a steady stream of data that someone has to interpret and act on. AI tools can help sift logs and surface patterns, but deciding which warning matters, how severe it is, and what to fix first stays a human call. The role sits where automated detection meets engineering judgement, and the value comes from making that loop faster and more trustworthy.

How it builds AI experience

Working here means learning how AI driven monitoring and digital twin data behave in the real world, including where they mislead. A candidate can build this by practising anomaly detection on time series data, writing queries and scripts against telemetry, and studying how robotics fleets fail over time. Familiarity with ROS and log pipelines would strengthen the fit for this warehouse robotics setting.

Worth showing

• Telemetry and observability tooling
• SQL and Python analysis
• ROS or robotics stack
• Alert quality and triage

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Dexory

Autonomous robots scan every pallet in a warehouse each day, per the company, and feed an AI digital twin, so a warehouse manager can see real stock levels instead of what the systems assume.