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Pearson VUE

Senior Software Engineer

Pearson VUE

. Lead design and implementation for complex software components, services, and platforms .

Posted 10/10/2026full-timeBangalore • IndiaSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in leading the design and implementation of complex software systems, with a strong focus on cloud-native environments, software architecture, and technical leadership. Proficient in mentoring engineering teams and communicating technical concepts to diverse stakeholders.

Highest-signal resume keywords
Cloud-Native EnvironmentsSoftware ArchitectureTechnical LeadershipAgile EngineeringCI/CD Workflows

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
.NETC#AngularMicrosoft AzureKubernetesMicrosoft SQL ServerDistributed SystemsPerformance EngineeringApplication SecurityAccessibility Compliance
Soft Skills
MentorshipCommunicationStakeholder Management
Tools & Technologies
DevOps WorkflowsObservability ToolsAI-Assisted Development Tools
Industry Keywords
Software DesignEngineering StandardsTechnical DebtRoot-Cause AnalysisQuality Engineering

Tech Stack

Tools & technologies
AngularAzureCloudDistributed SystemsKubernetesMS SQL ServerSQL.NET

About the role

Key responsibilities & impact
  • Lead design and implementation for complex software components, services, and platforms
  • Drive technical decision-making for major features and engineering initiatives
  • Influence software architecture, design patterns, and engineering standards
  • Lead technical design sessions and contribute to architectural discussions
  • Mentor and coach engineers through design reviews, code reviews, pairing, and technical guidance
  • Participate in interviews to assess and hire engineering talent
  • Communicate technical direction, tradeoffs, and risks to stakeholders
  • Design and deliver enterprise-scale, secure, maintainable, and scalable software solutions
  • Evaluate design alternatives balancing value, risk, performance, and maintainability
  • Lead complex troubleshooting and root-cause analysis for critical production issues
  • Identify and mitigate technical debt, performance bottlenecks, reliability concerns, and operational risk
  • Champion best practices across testing, automation, deployment, observability, and security
  • Partner with Quality Engineering on quality-by-design and automation
  • Support release planning, deployment, and operational readiness
  • Contribute to roadmap planning, technical estimation, and platform modernization
  • Work with Product Managers, Business Analysts, Product Architects, Quality Engineering, and DevOps

Requirements

What you’ll need
  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
  • 5+ years of professional software development experience
  • Demonstrated experience leading the design and delivery of complex, distributed systems
  • Experience providing technical leadership and mentorship within Agile engineering teams
  • Experience designing and operating within cloud-native environments
  • Strong software design and system architecture skills
  • Experience building highly available and scalable enterprise applications
  • Cloud-based DevOps workflows, CI/CD, application security, observability, and performance engineering
  • Experience mentoring engineers and raising engineering capability
  • Familiarity with LLMs / ML concepts and practical use of AI-assisted development tools in day-to-day engineering work, preferred
  • Experience supporting accessibility compliance and WCAG standards, preferred
  • Strong communication and stakeholder management skills, including explaining technical tradeoffs to non-technical audiences
  • Direct experience with .NET / C#, Angular, Microsoft Azure, Kubernetes, Microsoft SQL Server, and relational databases is preferred; comparable languages, frameworks, and toolsets will be considered

Benefits

Comp & perks
  • Opportunity to develop engineering talent
  • Opportunity to strengthen delivery and quality practices
  • Opportunity to help teams adopt emerging AI-assisted ways of working
  • Mentoring and coaching opportunities
  • Participation in interviews to help assess and hire engineering talent