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Beamery

Principal Engineer

Beamery

Principal Engineer at Beamery tackling reliability and infrastructure issues while mentoring Engineers. Collaborating with teams to build scalable services and manage platform operations.

Posted 7/26/2026full-timeLondon • 🇬🇧 United KingdomLead💰 £110,000 - £140,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and delivering scalable, reliable cloud-based infrastructure and platform services, with a strong focus on operational excellence, observability, and incident response. Proven ability to mentor and coach engineering teams while collaborating effectively with non-technical stakeholders.

Highest-signal resume keywords
Kubernetes ManagementInfrastructure As Code (IaC)Observability and SLOsCloud-Based Infrastructure DesignPeople Leadership and Mentorship

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Cloud-Based InfrastructureKubernetesTerraformGoNodeJSKafkaMongoDBPostgreSQLElasticsearchIstio
Soft Skills
MentorshipCollaborationProblem-SolvingCoachingCommunication
Tools & Technologies
GitOpsLLMOpsMLflow
Industry Keywords
Operational ExcellenceIncident ResponseCost ManagementProduction EnvironmentsScalable Systems

Tech Stack

Tools & technologies
CloudElasticSearchGoKafkaKubernetesMongoDBNode.jsPostgresTerraform

About the role

Key responsibilities & impact
  • Design solutions, produce architectures and write RFCs for platform, reliability and infrastructure initiatives which have impact across Engineering and beyond
  • Maintain your hands-on credibility by helping teams ship scalable, reliable and cost-effective services
  • Partner with Product and Engineering Directors on planning by scoping and sizing large new platform initiatives that span multiple teams
  • Work with other Principal Engineers to create and update the architectural vision that will deliver on Beamery's strategy
  • Engage with other Principal Engineers in setting and advocating company-wide standards for operational excellence, observability, reliability and incident response
  • Take a whole-company view of major incidents, identifying recurring themes and turning them into company-level investments
  • Own and evolve the platform and infrastructure tech radar, making data-backed cases for the adoption and deprecation of technologies and services
  • Set the standard for operational ownership, supporting teams to own their services end-to-end
  • Coaching and mentoring Engineers all the way up to Staff level from teams across the organisation
  • Collaborate on customer solutions with non-technical stakeholders including Sales, Customer Success and our high profile, Fortune 500 customers
  • Stay connected to production through on-call, and use that vantage point to raise the bar for incident response, observability and reliability across the whole engineering organisation

Requirements

What you’ll need
  • A proven track record of designing and delivering scalable, reliable cloud-based infrastructure and platform services
  • Extensive experience running and supporting services in production environments, including on-call leadership and incident command at scale
  • Previous experience as an individual contributor in an Engineering leadership position (Staff+, Principal, Architect, etc.)
  • Deep expertise managing Kubernetes production clusters at scale — cluster lifecycle and upgrades, resource optimization (autoscaling, quotas), security (RBAC, Network Policies), high availability and troubleshooting complex networking or scheduling issues
  • Expertise with Infrastructure as Code (IaC), particularly Terraform, and modern GitOps practices
  • Strong software engineering foundations with the ability to build and maintain production-grade tooling. Experience with Go would be preferable. NodeJS is a plus
  • A strong understanding of observability, SLOs, alerting and cost management for large-scale systems
  • Operational experience with our key infrastructure components: Kafka, MongoDB, PostgreSQL, Elasticsearch, and Istio
  • Familiarity with LLMOps is a plus; helping shape how we operate LLM-powered systems at scale (model gateways and routing with LiteLLM, experiment and model tracking with MLflow) would be a welcome bonus
  • A FinOps mindset; you drive cost-awareness as an engineering discipline across teams, balancing spend against reliability and performance, and turn infrastructure cost into a metric teams own rather than a surprise on the bill
  • People leadership in the form of mentorship and coaching
  • Ability to collaborate with non-technical colleagues to convert ambiguously defined problems into well-understood requirements and pragmatic solutions

Benefits

Comp & perks
  • Professional development opportunities
  • Flexible working hours