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Nokia is a global B2B technology company focused on telecommunications, enterprise networking, and digital infrastructure. It develops secure and resilient network solutions for service providers, businesses, and public-sector organizations, helping connect people, machines, and devices at scale. Its work includes 5G, artificial intelligence, and quantum-safe networking, alongside research and long-term technology development through Nokia Bell Labs. Job seekers exploring Nokia may find opportunities connected to network engineering, telecommunications, enterprise technology, infrastructure, and advanced research.
Senior Software Architect, AI-Native Telecom Systems
Lead AI-native, cloud-first architecture for Nokia’s telecom network management software. Shape multi-agent engineering, platform modernization, and autonomous network operations.
Description
- Translate business, customer, system, and network-element needs into scalable software solutions and product architectures.
- Define and evolve EMS architecture, covering APIs, microservices, data flows, containers, Kubernetes or OpenShift, and cloud-native deployments.
- Lead hands-on development, prototyping, design and code reviews, debugging, performance tuning, and root-cause analysis.
- Build multi-agent pipelines and harnesses with coordinated roles, iterative execution, context, tools, memory, orchestration, validation, recovery, observability, and human approval gates.
- Expand AI-enabled practices across the software development lifecycle, from requirements and design through coding, testing, troubleshooting, documentation, and delivery.
- Refine agent prompts, workflows, test harnesses, and validation using observed performance and failure patterns.
- Advance modernization and engineering collaboration through Java, Spring Boot, microservices, containers, Kubernetes, OpenShift, automated testing, and CI/CD.
- Mentor teams and work with product, architecture, platform, verification, productization, and network-element stakeholders.
Requirements
- Hold a bachelor’s or master’s degree in engineering.
- Bring at least 10 years of experience in software architecture, requirements analysis, design, development, and troubleshooting of large-scale distributed systems.
- Demonstrate expertise in Java, Spring Boot, microservices, Docker, Kubernetes, APIs, CI/CD, automated testing, and cloud-native architecture.
- Have hands-on experience building multi-agent solutions, agent squads or swarms, and orchestrated pipelines.
- Understand agent harness engineering, including context management, tool integration, skills and rules, memory, planning, reviewer patterns, observability, error handling, validation, and human oversight.
- Have integrated agentic workflows with source repositories, issue trackers, code reviews, build pipelines, test environments, knowledge bases, and engineering tools.
- Be able to make pipelines repeatable, testable, idempotent, secure, traceable, and scalable.
- Have experience in telecommunications OSS, EMS, or NMS; network management; element management; or a related telecom software domain.
- Know SNMP, NETCONF/YANG, SFTP, 3GPP interfaces, REST APIs, OpenShift, Kafka, Helm, GitOps, and Kubernetes Operators.
- Have experience with specification-driven development, RAG workflows, knowledge-base creation, automated defect triage and fixes, code migration, CI pipeline analysis, and lab-integrated testing.
- Understand Responsible AI practices, including security, data protection, human oversight, output validation, auditability, quality controls, and safe deployment of agentic systems.
Benefits
- Laptop support, including ordering assistance.
- An inclusive workplace committed to equal opportunity.
- A recruitment process designed to support an inclusive candidate experience.
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