Role Description Bull is looking for a proactive Platform Engineer with strong experience in Kubernetes, cloud-native platforms, and distributed infrastructure. The role focuses on resource orchestration platforms, including HPC environments such as Slurm. You will join our international R&D team to help build and operate next-generation cloud and HPC platforms. Key Responsibilities - Design, build, and maintain CI/CD pipelines using Jenkins (Open Source) and GitLab - Deploy and manage applications using Helm and Kustomize - Implement and maintain monitoring and observability solutions using Prometheus, Grafana, and Datadog - Ensure availability, performance, scalability, and reliability of systems - Troubleshoot infrastructure, pipeline, and production incidents - Collaborate with development and operations teams to continuously improve DevOps processes and standards - Automate infrastructure provisioning and configuration using HashiCorp Terraform and Ansible - Support and operate Bull HPC environments, including workload scheduling with Slurm Qualifications - Bachelor’s degree in Computer Science, Software Engineering, or a related technical field - 4+ years of experience building and operating platform infrastructures, preferably based on Kubernetes, virtualization, and Linux environments - Strong experience with Kubernetes administration and ecosystem, including cluster lifecycle management, workload scheduling, networking, and storage - Experience operating multi-cluster Kubernetes environments using tools such as Rancher, Fleet, OpenShift, or similar platforms - Experience with virtualization and infrastructure platforms, including KVM, Proxmox VE, VMware, or similar technologies - Experience operating and troubleshooting Linux-based infrastructure in on-premises or hybrid environments - Experience implementing GitOps workflows using tools such as ArgoCD, FluxCD, or Fleet for infrastructure and application delivery - Knowledge of Infrastructure as Code and configuration management (Terraform, Ansible, Helm, Kustomize, etc.) - Experience with CI/CD pipelines and engineering workflows (Git, Jenkins, GitLab CI, GitHub Actions, etc.) - Experience with observability and monitoring stacks (Prometheus, Thanos, Grafana, Datadog, etc.) - English B2+ minimum. C level desirable Requirements - Experience integrating Kubernetes with HPC schedulers (Slurm integration or hybrid HPC/cloud environments) - Hands-on experience with Kubernetes cluster provisioning and lifecycle automation using Cluster API, Metal3, kubeadm, Kubespray, ClusterAPI providers, or similar technologies - Experience managing Kubernetes on bare-metal infrastructures - Knowledge of Kubernetes security best practices (RBAC, Pod Security Standards, secrets management) - Experience with software-defined networking and load-balancing technologies (HAProxy, Keepalived, VLAN/VXLAN, MetalLB, etc.) - Any previous experience in innovation and pre-sales departments or in European research projects is valuable Benefits - Flexible Work Schedule: Enjoy half-day Fridays and an intensive summer workday to help maintain a great work-life balance - Learning & Growth: Stay at the forefront of AI and technologies, with opportunities to learn and grow in a supportive, innovative environment

• Own 5 AWS accounts across the organisation (QA, Prod, Infra, plus two others) • Architect and maintain infrastructure as code with Terraform. • Replace the click-ops that's still around • Stand up CI/CD pipelines engineers actually want to use. Blue/green and canary where it makes sense • Run releases reliably and reduce key-person risk on the deploy process • Set up monitoring, alerting, and incident response so we catch issues before customers do. • Define SLIs and SLOs that map to real user journeys • Lead incident response as the primary infra responder. Run blameless post-mortems • Patch and harden the platform. We're a fintech, this matters. IAM least privilege, secrets management, vulnerability scanning, MFA enforcement • Lead infrastructure work for the TV launch: traffic spikes, autoscaling, capacity planning, runbooks • Partner with backend engineers when production issues cross into the app tier. JVM tuning, connection pools, async patterns, memory leaks • Architect multi-region DR. • Drive the platform toward self-healing • Optimise cost across DynamoDB, Lambda, and the wider AWS footprint • Set architectural guardrails with tech leads and SWEs. • Mentor engineers as the platform capability grows.

• Help build the next generation of our data platform, a streaming-first, domain-oriented foundation • Work on infrastructure, tooling, and paved paths for data flow from production systems • Enable near real-time access for analysts, engineers, AI systems, and business users • Champion platform standards, tooling, and best practices across the data organization

• Partner with product engineering teams to identify systems requirements. • Build and support our cloud-based microservices infrastructure. • Automate routine processes and remediation tasks. • Develop, monitor and track Service Level Objectives (SLOs) for the systems under management. • Proactively troubleshoot, resolve, and plan for issues that typically come from support staff, other engineering teams, and our automated monitoring system. • Ensure our datastores are healthy and operate at optimal performance levels. • Contribute to the growth and culture of our engineering team.