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Nokia

Software Architect

Nokia

. Lead software requirements analysis and translate business, customer, system, and network-element needs into scalable technical solutions and product architectures .

Posted 10/9/2026full-timeBangalore • IndiaSeniorLeadWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in software architecture and requirements analysis, with a strong focus on building scalable technical solutions using Java, Python, and Kubernetes. Proven ability to lead teams in developing multi-agent systems and driving technology modernization in telecommunications software.

Highest-signal resume keywords
Software ArchitectureJava DevelopmentKubernetes ExpertiseMulti-Agent SolutionsCloud-Native Architecture

ATS Keywords

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Hard Skills
Requirements AnalysisDesign DevelopmentTroubleshootingAutomated TestingCI/CDMicroservicesAPIsPerformance OptimizationRoot-Cause AnalysisSpecification-Driven Development
Soft Skills
Technical LeadershipMentoringCollaboration
Tools & Technologies
OpenShiftKafkaHelmGitOpsAgent Harness Engineering
Industry Keywords
Telecommunications OSSEMSNMSNetwork ManagementElement Management

Tech Stack

Tools & technologies
CloudDistributed SystemsJavaKafkaKubernetesMicroservicesOpenShiftPythonSDLCSpringSpring BootSpringBoot

About the role

Key responsibilities & impact
  • 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
  • Mentor teams and collaborate with product, architecture, platform, verification, productization, and network-element stakeholders
  • Shape next-generation telecommunications software and engineering practices for autonomous network management

Requirements

What you’ll need
  • Bachelor’s or Master’s degree in Engineering
  • 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/swarms, and orchestrated pipelines
  • 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
  • Ability to ensure pipelines are repeatable, testable, idempotent, secure, traceable, and scalable
  • Experience in telecommunications OSS/EMS/NMS, network management, element management, or related telecom software domains is good to have
  • Knowledge of OpenShift, Kafka, Helm, GitOps, and Kubernetes Operators is good to have
  • Experience with specification-driven development, RAG workflows, knowledge-base creation, automated defect triage and fixing, code migration, CI pipeline analysis, and lab-integrated testing is good to have
  • Understanding of Responsible AI practices is good to have

Benefits

Comp & perks
  • Laptop support with ordering
  • Hybrid work arrangement
  • Inclusive workplace and equal opportunity employment
  • Recruitment process designed to be inclusive
  • Encouragement to apply even without every listed requirement