Hybrid Lead Engineer – Performance and Reliability

at Bauer Media Outdoor UK

• Job title: Lead Engineer – Performance and Reliability
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: No Education Requirement
• Tech skills: AWS, Cloud, Distributed Systems, JMeter, Ray
• Location requirements: Hybrid, London, United Kingdom

About the role

• Technical lead for non-functional requirements on critical internal platforms at Bauer Media Outdoor. Focused on performance, reliability, and observability in engineering processes.

Responsibilities

• You will be the technical lead for non-functional requirements across one of our most critical internal platforms.
• Your remit covers performance front end and back end engineering, architecture and design, reliability, resilience, observability, and capacity planning.
• This is hands-on work. You will define the NFRs, test them, break them, and enforce them, as well as working with architects and other lead engineers on ensuring architectures and designs meet these requirements.
• Define, document, and own non-functional requirements across areas such as performance, availability, reliability, scalability, observability, cost and security constraints.
• Build and execute performance, load, stress, concurrency, and soak tests shaped by the NFRs you set.
• Establish SLOs, SLAs, and SLIs that reflect real user demand and business outcomes.
• Model expected load and determine capacity baselines.
• Translate business workflows into measurable system behaviours: throughput, response time, peak concurrency, degradation thresholds.
• Implement qualitative and quantitative testing patterns that validate each NFR.
• Strengthen observability using AWS CloudWatch, X-Ray, metrics, logs, distributed tracing, and event correlation.
• Define what “healthy” means for the platform and establish mechanisms to detect and predict deviation.
• Influence architectural decisions and designs using evidence from performance modelling and NFR constraints including inputting into UX and front end design to align the customer experience with the reality of the product.
• Validate AWS scaling policies, resource limits, timeouts, and data access patterns.
• Provide clear, data-backed recommendations that highlight trade-offs between cost, performance, and reliability.

Requirements

• Expertise in full stack engineering, performance engineering, non-functional testing, and reliability engineering.
• Strong understanding of NFR categories: performance, availability, reliability, resilience, capacity, security constraints, operability, cost and maintainability.
• Solid knowledge of AWS architecture and how NFRs translate into cloud scaling behaviour, resource use, and service limits.
• Hands-on experience with performance tools: JMeter, Gatling, Locust, k6, or similar.
• Ability to diagnose bottlenecks across user experience, front end, application logic, APIs, databases, cloud infrastructure, and distributed systems.
• Someone who challenges assumptions early, brings evidence, and insists on technical rigour.
• Related environment maintenance, awareness and impact outcomes