Senior DevOps Engineer – Autonomous Vulnerability Research

Lloyds Banking Group

. Build and operate the infrastructure hosting the agentic vulnerability research platform .

Posted 9/29/2026full-timeManchester • United KingdomSenior💰 £72,702 - £102,729 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating Kubernetes-based platforms, managing GCP infrastructure, and implementing security controls in cloud-native environments. Proficient in CI/CD engineering, observability practices, and ensuring compliance through infrastructure-as-code.

Highest-signal resume keywords

Kubernetes ExperienceTerraform SkillsGCP ExperienceCI/CD EngineeringContainer Hardening Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

KubernetesTerraformGCPCI/CDContainer HardeningEgress ControlNetwork PolicyObservabilityImage MinimisationVulnerability Management

Soft Skills

Security-First Judgement

Tools & Technologies

GKEIAMVPCCloud BuildArtifact Registry

Certifications & Qualifications

Cloud CertificationsKubernetes CertificationsCybersecurity Qualifications

Industry Keywords

Infrastructure-as-CodeHigh-Risk WorkloadsOffensive SecurityMalware AnalysisRegulated Environments

Tech Stack

Tools & technologies

CloudCyber SecurityGoogle Cloud PlatformKubernetesTerraform

About the role

Key responsibilities & impact

Build and operate the infrastructure hosting the agentic vulnerability research platform
Design, build, and operate a Kubernetes-based platform for agentic research workloads
Create ephemeral and isolated execution environments
Own Terraform infrastructure-as-code across GCP
Deliver reproducible, reviewable, and policy-compliant environments
Engineer secure container and VM images with hardened baselines, minimal attack surfaces, and automated patching
Implement egress-controlled networking, network policies, service mesh controls, and segmentation
Build CI/CD pipelines with SBOMs, image signing, artefact provenance, and automated policy gates
Deliver observability through logs, metrics, distributed traces, and cost telemetry
Build evidence-capture pipelines with immutable audit trails, artefact retention, and reproducible run records
Manage secrets, identity, and workload authentication using least-privilege access
Partner with AI Engineering to scale agent runtimes efficiently and ensure safe failure
Partner with Security Architecture to evidence control effectiveness

Requirements

What you’ll need

Deep, hands-on Kubernetes experience, including workload design, networking, autoscaling, RBAC, and multi-tenancy isolation
Strong Terraform and infrastructure-as-code skills
Track record of managing production cloud estates
Substantial GCP experience, including GKE, IAM, VPC/networking, Cloud Build/Artifact Registry, or equivalent
Willingness to work in GCP if experienced with another major cloud
Container and VM hardening expertise, including image minimisation, runtime security, and vulnerability management
Practical experience implementing egress control, network policy, and segmentation in cloud-native environments
Strong CI/CD engineering skills
Experience embedding security controls into delivery pipelines
Observability expertise across logging, tracing, and metrics
Experience designing for auditability and evidence retention
Security-first judgement balancing researcher velocity against containment requirements
Relevant transferable experience is accepted
Preferred: experience building platforms for offensive security, malware analysis, or other high-risk workloads requiring strong isolation
Preferred: experience supporting AI/ML or LLM workloads, including GPU scheduling, inference infrastructure, or agent runtime environments
Preferred: cloud or Kubernetes certifications, or cybersecurity-related qualifications and training
Preferred: contributions to open-source infrastructure, platform, or security tooling
Preferred: experience in highly regulated environments such as financial services
Ability to work at one of the listed office sites at least two days per week or 40% of the time

Benefits

Comp & perks

Flexible working options: hybrid working and job share
Pension contribution of up to 15%
Annual performance-related bonus
Share schemes including free shares
Benefits adaptable to lifestyle, such as discounted shopping
30 days’ holiday, with bank holidays on top
Wellbeing initiatives
Generous parental leave policies
Reasonable workplace adjustments, including flexibility in office attendance, location and working patterns
Opportunities to learn, grow and develop
Disability Confident Scheme and reasonable adjustments throughout recruitment