Software Engineering, Team Manager

Job Title

• Software Engineering, Team Manager Description
• Lead engineering teams that support critical assessment services, with two opportunities across Vue Testing Services and Test Delivery in India. You will combine people leadership, delivery oversight, technical judgement and responsible AI adoption to strengthen team performance and customer outcomes. Also known in the market as: Engineering Manager; Software Development Manager; Technology Manager; Software Engineering People Manager.

About the Role

Pearson is hiring two Software Engineering Team Managers in India through one recruitment campaign. The roles share a common leadership profile but support different product areas: Vue Testing Services (VTS) and Test Delivery. VTS supports services around a candidate’s assessment journey, including registration, payment and score reporting.

Test Delivery powers the delivery of assessments in test centres and online, in a high-volume environment where quality, reliability and operational readiness matter. In either opportunity, you will lead through clarity, coaching, accountability and partnership. You will translate priorities into achievable plans, strengthen engineering and delivery practices, develop people, manage risk and help teams adopt AI-assisted development responsibly.

This is a management role with minimal hands-on coding expected. What You’ll Do Hire, onboard, coach, develop and retain engineers and technical professionals. Set clear 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 strong 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 deliberate adoption of AI-assisted development, testing, review and documentation while protecting quality and security. What We’re Looking For A 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. The Opportunities VTS Lead teams supporting services around the assessment journey, including registration, payment and score reporting.

Product and service-platform leadership experience may be particularly useful. TEST DELIVERY Lead teams supporting the delivery of assessments in test centres and online. Experience with high-volume, operationally critical or reliability-focused platforms may be particularly useful. Location & Working Pattern India. Bangalore is the preferred location and Chennai is an option.

Exact hybrid attendance requirements will be shared during the recruitment process. Why Join Pearson? This is an opportunity to develop engineering talent, strengthen delivery and quality practices, and help teams adopt emerging AI-assisted ways of working across technology that supports assessment experiences at scale.