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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployed Engineer - Platform Engineer - **Company:** Kyndryl, Inc. - **Location:** London, UK (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Computing Platforms, Microsoft Azure, Cloud Engineering, Continuous Integration, Domain Name System (DNS), Github, Identity and Access Management, Network Security, Cloud Services, Prometheus, Software Deployment, Software Engineering, Datadog, Policy as Code, SSL Certificate Management, Google Cloud, Cloud Platform System, Large Language Models, Grafana, Infrastructure as Code (IaC), Containerization, Kubernetes, Information Technology, Machine Learning Operations, Virtual Agents, Terraform, Software Version Control, Microservices - **Published:** September 16, 2026 - **Apply:** https://dejobs.org/x/x/6B4731CC8DE94D6FA346FA35016753B0/job/ ## About the Role * 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 (landing zones,networking, IAM, cost controls) * Production experience with Kubernetes, GitOps delivery (ArgoCD), andInfrastructure as Code (Terraform, Helm) * Hands-on experience implementing security end-to-end: CI/CD securitytooling, Kubernetes namespace segmentation and managed identities, andsecure access in landing zones and the hyperscaler * Hands-on experience with SSL/TLS certificate management, DNS zoneadministration, and secure network access to endpoints * Solid grasp of CI/CD pipelines, version control (Git & GitHub), andmicroservices/API architectures * Practical experience with observability tooling (Grafana, Prometheus,OpenTelemetry) * Working knowledge of generative AI platforms: LLM hosting, LLMgateways (e.g. LiteLLM, Portkey, Kong AI Gateway), and MLOps/LLMOpspractices for deploying and monitoring AI systems in production Preferred Skills and Experience * Familiarity with agentic AI frameworks (LangGraph, CrewAI, AutoGen,Semantic Kernel) and their production deployment * Understanding of LLM governance: data privacy, guardrails, andresponsible-use controls * Experience guiding clients through legacy application modernisations,containerisation, and microservices re-platforming * Experience defining platform architectural guardrails and riskframeworks that balance delivery velocity with governance * T-shaped profile: solid technical expertise in platform engineeringand cloud architecture, broad understanding across enterprise IT andtechnical consulting * Ability to serve as a trusted advisor, translating businessrequirements into technical roadmaps for diverse stakeholders * Willingness to travel and work on customer premises as required * Degree in Computer Science, Software Engineering, InformationTechnology, or a related discipline - or equivalent professionalexperience ## Description Your Role As a Forward Deployed Engineer (FDE) with a Platform Engineering focus (Band 8), you own end-to-end delivery for cloud platform and infrastructure modernisations, including the platform foundations that generative AI and agentic systems run on. You translate business challenges into target-state cloud solutions, lead solution design and deployment, and work closely with the AI engineers on the team to keep platform and agentic AI workstreams properly integrated. You operate with significant autonomy, bring deep technical expertise in solution and platform architecture, and use Infrastructure as Code (IaC) and modern automation across the full delivery lifecycle to accelerate deployment, improve reliability, and deliver measurable impact. What You Will Do Depending on the engagement, you'll draw on some of the below more than others - not every bullet applies to every project. * Translate business challenges into target-state cloud platformsacross Azure, GCP, and AWS * Build enterprise container platforms (Kubernetes) and GitOps-baseddelivery (ArgoCD) * Build self-service developer environments and secure landing zones * Support platforms that host and serve generative AI systems (LLMhosting, LLM gateways, agentic workflows) * Own delivery end-to-end: build CI/CD pipelines and implementInfrastructure as Code (Terraform, Helm) * Guide legacy application modernisation, microservices migrations, andAPI integrations * Implement security end-to-end across the platform: security toolingbuilt into CI/CD pipelines, namespace segmentation and managedidentities in Kubernetes, and secure access controls in landing zonesand the hyperscaler * Own connectivity and network-level security: SSL/TLS certificatelifecycle management, DNS zone management, and secure network accessto endpoints * Define architectural standards and guardrails, with security as afirst-class concern (policy-as-code / OPA, access controls, secretsmanagement, compliance-driven engineering) * Instrument platforms for observability (Grafana, Prometheus,OpenTelemetry) * Capture deployment learnings and share best practices to inform coreplatform frameworks * Contribute code, automated blueprints, and feedback to core platformteams ## Related Videos - [Platform Engineering vs. DevOps Why not both?](https://www.wearedevelopers.com/videos/885-platform-engineering-vs-devops-why-not-both) - [The Memory Leak That Ate Our Cluster: A Postmortem](https://www.wearedevelopers.com/videos/2057-the-memory-leak-that-ate-our-cluster-a-postmortem) - [Monitoring as Code - Managing your dashboards at scale](https://www.wearedevelopers.com/videos/753-monitoring-as-code-managing-your-dashboards-at-scale) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Reducing Cognitive Overload Through Platform Engineering](https://www.wearedevelopers.com/videos/679-reducing-cognitive-overload-through-platform-engineering) - [Software Engineering Social Connection: Yubo’s lean approach to scaling an 80M-user infrastructure](https://www.wearedevelopers.com/videos/1583-software-engineering-social-connection-yubo-s-lean-approach-to-scaling-an-80m-user-infrastructure) ## Related Articles - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers) - [Where To Find Software Engineering Jobs](https://www.wearedevelopers.com/magazine/396-where-to-find-software-engineering-jobs) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)