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

Use this summary to align your resume positioning with the role.

Demonstrates expertise in software architecture and requirements analysis, with a strong focus on building scalable technical solutions using Java, Spring Boot, and microservices. Proven ability to lead teams in the development of multi-agent systems and cloud-native deployments while ensuring adherence to Responsible AI practices.

Highest-signal resume keywords

JavaSpring BootMicroservicesKubernetesCloud-Native Architecture

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Software ArchitectureRequirements AnalysisDesignDevelopmentTroubleshootingAutomated TestingCI/CDAPIsDockerPerformance Optimization

Soft Skills

Technical LeadershipMentoringCollaboration

Tools & Technologies

KubernetesOpenShiftGitOpsKafkaHelmSNMPNETCONF/YANG

Certifications & Qualifications

Bachelor’s Engineering DegreeMaster’s Engineering Degree

Industry Keywords

Telecommunications OSSEMSNMSNetwork ManagementElement Management

Tech Stack

Tools & technologies

CloudDistributed SystemsDockerJavaKafkaKubernetesMicroservicesOpenShiftSDLCSpringSpring 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 through 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

Requirements

What you’ll need

Bachelor’s / 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, Spring Boot, microservices, Docker, 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
Knowledge of SNMP, NETCONF/YANG, SFTP, 3GPP interfaces, REST APIs, 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

Benefits

Comp & perks

Laptop support with ordering
Inclusive workplace and equal opportunity commitment
Recruitment process designed to support an inclusive candidate experience