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Senior Software Engineer
Pearson VUE. Lead design and implementation for complex software components, services, and platforms .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
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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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 & technologiesAngularAzureCloudDistributed 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