Software Engineering, Team Manager

Pearson VUE

. Lead engineering teams supporting critical assessment services across Vue Testing Services and Test Delivery .

Posted 10/10/2026full-timeBangalore • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong leadership in engineering team management, focusing on Agile methodologies, software delivery, and quality engineering. Proficient in utilizing AI-assisted tools and ensuring operational readiness while fostering collaboration across cross-functional teams.

Highest-signal resume keywords

Agile Software DeliveryTeam Leadership and CoachingAI-Assisted Engineering ToolsCloud and DevOps PracticesQuality Engineering and Automation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringQuality EngineeringArchitectureTechnology SolutionsCI/CDAutomationSecurityReliabilityObservabilityOperational Readiness

Soft Skills

CommunicationCollaborationProblem-SolvingStakeholder Influence

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceBachelor’s Degree in EngineeringBachelor’s Degree in Information SystemsBachelor’s Degree in Business

Industry Keywords

Vue Testing ServicesTest DeliveryDistributed TeamsHigh-Volume Test DeliveryFeedback Rhythms

Tech Stack

Tools & technologies

CloudVue.js

About the role

Key responsibilities & impact

Lead engineering teams supporting critical assessment services across Vue Testing Services and Test Delivery
Hire, onboard, coach, develop and retain engineers and technical professionals
Set goals, feedback rhythms, development plans and team operating practices
Translate product and department priorities into achievable team plans, capacity choices and ownership
Track sprint and release progress, dependencies, blockers, defects, quality and immediate delivery risks
Partner with Product, Architecture, Quality Engineering, DevOps, Security, Operations and business stakeholders
Maintain standards for design, testing, automation, security, observability, documentation and operational readiness
Use engineering, delivery, quality and team signals to identify patterns and drive improvement
Guide responsible adoption of AI-assisted development, testing, review and documentation
Support assessment services including registration, payment, score reporting and high-volume test delivery

Requirements

What you’ll need

Hands-on technical foundation in software engineering, quality engineering, architecture, technology solutions or a closely related discipline
Demonstrated experience leading, coaching or managing technical professionals and building effective teams
Experience delivering software products, platforms or technology services in Agile or similarly iterative environments
Evidence of leading meaningful change, making sound decisions and improving delivery or team effectiveness
Working knowledge of modern software delivery, cloud, DevOps, CI/CD, automation, security, reliability, observability and operational readiness
Experience making people, capacity, priority and delivery decisions in a cross-functional environment
Experience working across distributed teams, functions or time zones
Practical experience using or introducing AI-assisted engineering tools, with sound judgement about quality and risk
Strong communication, collaboration, problem-solving and stakeholder-influence skills
Bachelor’s degree in Computer Science, Engineering, Information Systems, Business, or equivalent practical experience

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
Hybrid working pattern