PearsonVia Unstop

Posted yesterday

Software Engineering, Team Manager

Pay

Salary (undisclosed)

Location

Bangalore, India

Hybrid

Apply by

29 Oct

11 days left

Skills this role screens for

Team leadershipAgile methodologies (scrum)Ci/cdPerformance managementStakeholder communication

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About the role

Pearson is hiring for the role of Software Engineering, Team Manager!

The work

Responsibilities of the Candidate

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Hire, onboard, coach, develop and retain engineers and technical professionals.

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Set clear goals, feedback rhythms, development plans and team operating practices.

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Translate product and department priorities into achievable team plans, capacity choices and ownership.

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Track sprint and release progress, dependencies, blockers, defects, quality and immediate delivery risks.

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Partner with Product, Architecture, Quality Engineering, DevOps, Security, Operations and business stakeholders.

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Maintain strong standards for design, testing, automation, security, observability, documentation and operational readiness.

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Use engineering, delivery, quality and team signals to identify patterns and drive improvement.

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Guide deliberate adoption of AI-assisted development, testing, review and documentation while protecting quality and security.

Who they want

Requirements

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A hands-on technical foundation in software engineering, quality engineering, architecture, technology solutions or a closely related discipline.

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Demonstrated experience leading, coaching or managing technical professionals and building effective teams.

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Experience delivering software products, platforms or technology services in Agile or similarly iterative environments.

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Evidence of leading meaningful change, making sound decisions and improving delivery or team effectiveness.

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Working knowledge of modern software delivery, cloud, DevOps, CI/CD, automation, security, reliability, observability and operational readiness.

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Experience making people, capacity, priority and delivery decisions in a cross-functional environment.

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Experience working across distributed teams, functions or time zones.

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Practical experience using or introducing AI-assisted engineering tools, with sound judgement about quality and risk.

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Strong communication, collaboration, problem-solving and stakeholder-influence skills.

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Bachelor’s degree in Computer Science, Engineering, Information Systems, Business, or equivalent practical experience.

Pearson

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