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Live Nation Entertainment

Principal Engineer I — Prepurchase Platform

RemoteUnited Kingdom only
Published
Role
Backend
Experience
Principal
Employment
Full-time
Company size
Enterprise
Salary not disclosed
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Open to GB only. Set where you work from to check your eligibility.

No BS summary

Principal backend/platform engineer for high-traffic distributed systems in Ticketmaster’s Prepurchase Platform. Must be hands-on with Java 17+, JVM performance, event-driven architecture, Kafka/gRPC, AWS/Kubernetes, resilience, observability, and cross-team technical leadership. UK/London-linked full-time permanent role.

Core skills

JavagRPCKafka

Required skills

JVMVert.x/Spring WebFluxKafka Streams/Apache FlinkRocksDBFlatBuffers/Avro/ProtobufData-Oriented DesignRoaringBitmapMicroservicesIstio/EnvoyGraphQLWebSocketAWSEKSDockerKubernetesHelmKustomizeTerraformRedisCDN cachingGitLab CILLMsAI-assisted developmentGrafana/Splunk/Prometheus/OpenTracingOAuth/OIDC

Optional skills

KotlinElasticsearchSolr

What you'll do

  • Write code, build systems, and solve hard problems hands-on.
  • Reason carefully about distributed systems tradeoffs and understand why existing designs exist before proposing changes.
  • Act on problems without waiting to be asked.
  • Lead platform modernization efforts.
  • Design event-driven architectures.
  • Deliver systems that remain resilient during the highest-demand on-sales.
  • Work across multiple teams within the Prepurchase domain rather than within a single service area.
  • Write production code daily.
  • Influence technical direction.
  • Partner with teams across Ticketmaster on cross-cutting architectural decisions.
  • Embed deeply within a single service area or work horizontally across multiple teams depending on highest-impact needs.
  • Identify and act on production problems without being prompted.
  • Treat a single 500 error reaching a fan as a problem and act with urgency regardless of volume.
  • Build end-to-end, high-availability systems that handle extreme traffic spikes during high-demand on-sales without degradation.
  • Lead platform modernization initiatives, migrating legacy services to cloud-native, microservice-based architectures.
  • Design and implement streaming and event-driven solutions using Kafka/gRPC, enabling real-time data flow across services.
  • Embed deeply in a specific service area when needed, or work horizontally across teams to solve cross-cutting problems.
  • Champion resilience patterns: circuit breakers, graceful degradation, bulkheads, and auto-scaling strategies.
  • Collaborate with the Enterprise Architecture team on architectural decisions and evolve engineering standards across the Prepurchase domain.
  • Partner with product, security, and SRE teams to align technical decisions with business priorities.
  • Drive observability improvements, ensuring services are instrumented for monitoring, alerting, and rapid incident response.
  • Identify and eliminate single points of failure, improving system reliability and reducing on-call burden.
  • Apply AI and machine learning tools to improve developer productivity, automate operational tasks, and enhance system capabilities.
  • Evaluate and introduce new technologies that improve performance, reliability, or engineering velocity.

What they require

  • Proven ability to reason about distributed systems tradeoffs - scalability, consistency, availability, latency and make defensible design decisions under real constraints.
  • Proven experience writing production code and building high-traffic systems at scale - this is a coding role first.
  • Expertise in Java (17+); and the JVM, with strong command of JVM internals, garbage collection behavior, and performance tuning under load.
  • Hands-on experience with a reactive, non-blocking framework (Vert.x, Spring WebFlux, or equivalent) and asynchronous, event-driven service design.
  • Deep experience with stream processing and event-driven architecture - Kafka Streams, Apache Flink, or equivalent - including stateful streaming, topology design, and managing local state stores (e.g. RocksDB) at scale.
  • Proven track record building high-throughput, low-latency systems where tail latency, backpressure, and memory pressure are first-class design concerns.
  • Strong command of gRPC (including streaming RPC) and binary serialization formats such as FlatBuffers, Avro, or Protobuf, with schema evolution via a registry.
  • Familiarity with Data-Oriented Design (DoD) - structuring code around how data is laid out, accessed, and transformed for cache efficiency and throughput, rather than around object hierarchies.
  • Experience with compact, search-oriented data structures (e.g. RoaringBitmap, succinct/bitset representations) for representing large in-memory state efficiently.
  • Preferred: Experience with search engines (Elasticsearch, Solr) for discovery workloads.
  • Strong grasp of microservice design, service mesh (Istio/Envoy), API contract evolution, and backend-for-frontend patterns, including GraphQL APIs and WebSocket subscriptions for real-time client delivery.
  • Hands-on experience with AWS (EKS) and cloud-native operations - containerization (Docker, Kubernetes), packaging and deploy tooling (Helm, Kustomize), and infrastructure-as-code (Terraform).
  • Proficiency with caching strategies (Redis, CDN layer caching) and their application to high-traffic systems.
  • Solid understanding of CI/CD pipelines (GitLab CI), and progressive deployment strategies (blue-green, canary).
  • Experience designing for high availability - mult-region active-active/active-passive architectures, failover strategies, disaster recovery and systems that remain stable under adversarial load and abuse.
  • Proficiency with AI/ML tools and techniques - using LLMs, AI-assisted development, and automation to accelerate engineering workflows and improve system intelligence.
  • Familiarity with observability tooling: Grafana, Splunk, Prometheus, OpenTracing, or equivalent.
  • Strong understanding of security best practices - OAuth/OIDC, input validation, secrets management.
  • Track record of leading technical initiatives across multiple teams without direct authority.
  • Systems Thinking: Understands distributed systems as a set of tradeoffs, not a set of correct answers.
  • Understands that failures emerge from system interactions and missing feedback loops - not just broken components.
  • Evaluates designs by asking why they exist and what constraints shaped them, not just whether they match a preferred pattern.
  • Technical Vision: Anticipates platform challenges and designs systems that scale ahead of demand.
  • Domain Depth: Before changing a system, invests in understanding it fully - its history, the teams and services it interacts with, the constraints that shaped its current design, and the forces.
  • Ownership: Takes end-to-end responsibility for system health, performance, and reliability across the Prepurchase domain.
  • Influence Without Authority: Drives architectural decisions and engineering standards through collaboration, not hierarchy.
  • Communication: Explains complex technical trade-offs clearly to both engineering peers and non-technical stakeholders.
  • Composure Under Pressure: Stays calm during high-severity incidents and high-demand on-sales, delivering clear resolutions.
  • Continuous Improvement: Identifies opportunities to modernize, simplify, and strengthen systems - and follows through.

Benefits

  • You will be working in an inclusive environment and be encouraged to bring your whole self to work.
  • We will do all that we can to help you successfully balance your work and homelife.
  • As a growing business we will encourage you to develop your professional and personal aspirations, enjoy new experiences, and learn from the talented people you will be working with.

Live Nation Entertainment is the world’s leading live entertainment company, comprised of global market leaders: Ticketmaster, Live Nation Concerts, and Live Nation Media & Sponsorship.

EntertainmentEnterpriselivenationentertainment.com/
Salary not disclosed