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Kyndryl

Forward Deployed Engineer – Platform Engineer

Kyndryl

. Translate business challenges into target-state cloud platforms across Azure, GCP, and AWS .

Posted 9/15/2026full-timeLondon • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates extensive expertise in cloud platform architecture and security, with a strong focus on Azure, GCP, and AWS. Proficient in building CI/CD pipelines, Kubernetes environments, and implementing Infrastructure as Code using Terraform and Helm.

Highest-signal resume keywords
Cloud Platform ArchitectureKubernetes Container PlatformsCI/CD Pipeline ImplementationInfrastructure as CodeEnd-to-End Security

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AzureGCPAWSKubernetesTerraformHelmCI/CDGitOpsGrafanaPrometheus
Soft Skills
CollaborationProblem-SolvingCommunication
Tools & Technologies
ArgoCDOpenTelemetrySSL/TLS ManagementDNS AdministrationPolicy-as-Code
Certifications & Qualifications
Degree in Computer ScienceDegree in Software EngineeringDegree in Information Technology
Industry Keywords
Generative AILLM HostingMicroservicesAPI IntegrationsLegacy Application Modernisation

Tech Stack

Tools & technologies
AWSAzureCloudDNSGoogle Cloud PlatformGrafanaKubernetesMicroservicesPrometheusTerraform

About the role

Key responsibilities & impact
  • Translate business challenges into target-state cloud platforms across Azure, GCP, and AWS
  • Build enterprise Kubernetes container platforms and GitOps-based delivery with ArgoCD
  • Build self-service developer environments and secure landing zones
  • Support platforms hosting and serving generative AI systems, including LLM hosting, LLM gateways, and agentic workflows
  • Own end-to-end delivery by building CI/CD pipelines and implementing Infrastructure as Code with Terraform and Helm
  • Guide legacy application modernisation, microservices migrations, and API integrations
  • Implement end-to-end platform security, including CI/CD security tooling, Kubernetes segmentation, managed identities, and secure access controls
  • Manage SSL/TLS certificate lifecycles, DNS zones, and secure network access to endpoints
  • Define architectural standards and guardrails using policy-as-code, OPA, access controls, secrets management, and compliance-driven engineering
  • Instrument platforms for observability with Grafana, Prometheus, and OpenTelemetry
  • Capture deployment learnings and share best practices with core platform teams
  • Contribute code, automated blueprints, and feedback to core platform teams
  • Own solution design and deployment for cloud platform and infrastructure modernisations
  • Collaborate with AI engineers to integrate platform and agentic AI workstreams

Requirements

What you’ll need
  • 5+ years of hands-on experience in solution and platform architecture, delivering client-facing infrastructure modernisations
  • Hands-on expertise with Azure, GCP, and/or AWS, including landing zones, networking, IAM, and cost controls
  • Production experience with Kubernetes, GitOps delivery using ArgoCD, and Infrastructure as Code using Terraform and Helm
  • Hands-on experience implementing end-to-end security, including CI/CD security tooling, Kubernetes namespace segmentation, managed identities, and secure access in landing zones and hyperscalers
  • Hands-on experience with SSL/TLS certificate management, DNS zone administration, and secure network access to endpoints
  • Solid grasp of CI/CD pipelines, Git and GitHub, and microservices/API architectures
  • Practical experience with Grafana, Prometheus, and OpenTelemetry
  • Working knowledge of generative AI platforms, including LLM hosting, LLM gateways, and MLOps/LLMOps practices
  • Familiarity with agentic AI frameworks including LangGraph, CrewAI, AutoGen, and Semantic Kernel
  • Understanding of LLM governance, data privacy, guardrails, and responsible-use controls
  • Experience guiding legacy application modernisations, containerisation, and microservices re-platforming
  • Experience defining platform architectural guardrails and risk frameworks
  • Solid technical expertise in platform engineering and cloud architecture, with broad understanding across enterprise IT and technical consulting
  • Ability to translate business requirements into technical roadmaps
  • Willingness to travel and work on customer premises as required
  • Degree in Computer Science, Software Engineering, Information Technology, or a related discipline — or equivalent professional experience

Benefits

Comp & perks
  • Flexible, supportive environment
  • Well-being prioritized
  • Hybrid-friendly culture
  • Be Well programs supporting financial, mental, physical, and social health
  • Personalized development goals
  • Continuous feedback
  • Certifications with Microsoft, Google, and Amazon
  • Coaching and hands-on experiences
  • Cutting-edge learning opportunities
  • Employee referral opportunity