We are seeking an experienced Software Architect to define architecture and provide hands-on technical leadership for scalable, secure, cloud-native, and AI-driven Element Management System solutions within Autonomous Networks. The role involves leading requirements analysis, system design, development, troubleshooting, performance optimization, and key technical decisions while collaborating closely with product, engineering, architecture, and platform teams. You will drive the adoption of multi-agent pipelines, agent harnesses, AI-assisted SDLC, automated testing, CI/CD, and modern cloud-native technologies to improve engineering productivity, software quality, and delivery speed. This is an opportunity to shape next-generation telecommunications software and engineering practices as networks evolve toward increasingly autonomous operations.
Our EMS team builds advanced network management solutions that help telecom operators manage and optimize complex mobile networks. We are transforming toward an AI-native, cloud-first organization through agentic AI, automation, and modern engineering practices across MantaRay NM.
Lead software requirements analysis and translate business, customer, system, and network-element needs into scalable technical solutions and product architectures.
Define and evolve EMS architecture and component design, including APIs, interfaces, microservices, data flows, containers, Kubernetes/OpenShift, and cloud-native deployments.
Provide hands-on technical leadership across development, prototyping, code/design reviews, debugging, performance optimization, and complex root-cause analysis.
Build and enhance multi-agent pipelines and agent harnesses with coordinated agent roles, iterative planning and execution loops, context, tools, skills, memory, orchestration, validation, recovery, observability, and human approval gates.
Drive AI-enabled SDLC adoption across requirements, specification, design, coding, review, testing, troubleshooting, defect correction, documentation, and delivery; continuously improve agent prompts, workflows, test harnesses, and validation based on performance and failure patterns.
Lead technology modernization and engineering collaboration, driving adoption of Java, Spring Boot, microservices, containers, Kubernetes, OpenShift, automated testing, and CI/CD while mentoring teams and collaborating with product, architecture, platform, verification, productization, and network-element stakeholders.
Must have:
- Bachelors' / Masters' Engineering degree with 10+years of experience in software architecture, requirements analysis, design, development, and troubleshooting of large-scale distributed systems, with expertise in Java, Python, Kubernetes, APIs, CI/CD, automated testing, and cloud-native architecture.
- Hands-on experience building multi-agent solutions, agent squads/swarms, and orchestrated pipelines with iterative execution, feedback loops, planning, validation, and execution controls.
- Understanding of agent harness engineering, including context management, tool integration, skills/rules, memory, planning, critic/reviewer patterns, observability, error handling, validation, and human-in-the-loop mechanisms.
- Experience integrating agentic workflows with source repositories, issue trackers, code reviews, build pipelines, test environments, knowledge bases, and engineering tools, while ensuring pipelines are repeatable, testable, idempotent, secure, traceable, and scalable.
Good to have:
- Experience in Telecommunications OSS/EMS/NMS, network management, element management, or related telecom software domains.
- Knowledge of telecom and cloud technologies including interfaces OpenShift, Kafka, Helm, GitOps, and Kubernetes Operators.
- Experience with specification-driven development, RAG workflows, knowledge-base creation, automated defect triage and fixing, code migration, CI pipeline analysis, and lab-integrated testing.
- Understanding of Responsible AI practices, including security, data protection, human oversight, output validation, auditability, quality controls, and safe deployment of agentic systems.
Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we’re advancing connectivity to secure a brighter world.
Our recruitment process
We act inclusively and respect the uniqueness of people. Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect.
If you’re interested in this role but don’t meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.
The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia.
Skills Required
- Bachelor’s or master’s engineering degree
- 10+ years of experience in software architecture, requirements analysis, design, development, and troubleshooting of large-scale distributed systems
- Expertise in Java, Python, Kubernetes, APIs, CI/CD, automated testing, and cloud-native architecture
- Hands-on experience building multi-agent solutions, agent squads or swarms, and orchestrated pipelines
- Experience with iterative execution, feedback loops, planning, validation, and execution controls
- Understanding of agent harness engineering, including context management, tool integration, skills, rules, memory, planning, critic or reviewer patterns, observability, error handling, validation, and human-in-the-loop mechanisms
- Experience integrating agentic workflows with source repositories, issue trackers, code reviews, build pipelines, test environments, knowledge bases, and engineering tools
- Experience with telecommunications OSS, EMS, NMS, network management, element management, or related telecom software domains
- Knowledge of OpenShift, Kafka, Helm, GitOps, and Kubernetes Operators
- Experience with specification-driven development, RAG workflows, knowledge-base creation, automated defect triage and fixing, code migration, CI pipeline analysis, and lab-integrated testing
- Understanding of Responsible AI practices, including security, data protection, human oversight, output validation, auditability, quality controls, and safe deployment of agentic systems
Nokia Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nokia and has not been reviewed or approved by Nokia.
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Equity Value & Accessibility — Equity programs include a global employee share purchase plan with company matching and multi‑year share awards. These mechanisms broaden participation and tie rewards to long‑term outcomes.
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Healthcare Strength — Health coverage includes major medical plans with supplementary options such as vision, legal services, and care navigation. The range of offerings indicates comprehensive support for medical needs.
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Parental & Family Support — A global policy grants paid leave for new parents regardless of gender and provides structured return‑to‑work support. Company‑paid life insurance further strengthens family protection across regions.
Nokia Insights
What We Do
At Nokia, we create technology that helps the world act together. As a trusted partner for critical networks, we are committed to innovation and technology leadership across mobile, fixed and cloud networks. We create value with intellectual property and long-term research, led by the award-winning Nokia Bell Labs. Adhering to the highest standards of integrity and security, we help build the capabilities needed for a more productive, sustainable and inclusive world.
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