R&D Engineer

Join our engineering team as an R&D Engineer and play a key role in building and evolving the next generation of Nokia Cloud Operations Manager (NCOM), with a focus on the Infrastructure Management domain.
NCOM Evo is Nokia’s next-generation cloud-native operations layer, designed to run and evolve telecom software at scale. It simplifies complex network delivery across packages, clusters, sites, and network functions, enabling operators to design, deploy, upgrade, roll back, and observe their environments through a single Operations Portal, supported by Kubernetes controllers, configuration-as-data, and GitOps-style automation.
As part of the NCOM Infrastructure Management team, you will contribute to managing the full infrastructure lifecycle, including hardware, operating systems, Kubernetes, configuration, networking, and closed-loop automation. Working in an Agile environment, you will have the opportunity to write clean, high-quality code, develop new features, and automate infrastructure and cluster deployments that support major telecom operators worldwide.
If you have:
A Bachelor’s degree or higher in Computer Science, Electronic Engineering, Telecom, or equivalent, with 5+ years of relevant experience.
Strong software development expertise in Go, Python, with hands-on experience in designing and running cloud-native distributed systems at scale.
Proven expertise in Openshift, Docker, Helm and Kubernetes, including troubleshooting, administration, and lifecycle management.
Solid understanding of CI/CD pipelines (ideally GitOps), Linux administration, networking, and security.
Experience with distributed systems, microservices, and service mesh architectures (e.g., Istio).
Nice-to-Have Skills
Cloud certifications in Openshift and at least one public cloud platform (AWS, GCP, or Azure).
Experience with hardware management, including Redfish, UEFI, BIOS/eSW upgrades, GPUs, and Linux administration.
Hands-on experience with workflow design and development, including CI/CD pipelines and AI-based development workflows.
Exposure to telecom platforms, observability tools, infrastructure-as-code, and private cloud environments and experience in AI -driven development, Cursor, Copilot, Claude
As a R&D Engineer, you will...
Design and implement enterprise-grade GitOps strategies, including declarative state models, multi-cluster reconciliation loops, and automated promotion patterns.
Architect and automate Infra lifecycle management frameworks, covering secure base image governance, dynamic build pipelines, admission control, runtime orchestration, and ephemeral environment provisioning.
Develop robust rollback and progressive delivery strategies (e.g., Canary, Blue/Green deployments) using GitOps operators.
Develop and evolve infrastructure-oriented packages and platform in line with NCOM Evo release and package guidelines.
Build and troubleshoot Kubernetes-based applications, leveraging expertise in Openshift, Docker, and service mesh layers like Istio. Optimize Kubernetes ecosystems by developing custom controllers, operators, and CRDs, and managing complex service mesh layers declaratively.
Lead the design and operation of distributed systems and microservices at scale, ensuring high performance, reliability, and scalability.
Integrate AI-driven tools into CI/CD pipelines to automate workflows, including code generation, manifest validation, vulnerability patching, and pull request reviews.
Manage infrastructure lifecycle automation for Openshift Container Platform (OCP), including installation, upgrades, and Red Hat Advanced Cluster Management (RH ACM).
Ensure secure and scalable cloud-native architectures, with hands-on troubleshooting and administration of Openshift environments.
Collaborate with cross-functional teams to influence technical decisions and drive innovation in cloud-native distributed systems.

Work arrangement
Hybrid