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Pearson

Software Engineer III

Reposted 2 Months Ago
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Remote
Hiring Remotely in India
Senior level
Remote
Hiring Remotely in India
Senior level
Deliver end-to-end features for microservices-based systems, focusing on reliability, performance, testing, and production troubleshooting. Collaborate with product, QA, and DevOps, mentor junior engineers, adopt AI-assisted development, and improve system stability and delivery practices.
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Role: Software Engineer III

 

Job Summary

As a Software Engineer III, you will independently deliver high-quality, reliable code for moderately complex features while contributing to overall system performance and stability. You will own workstreams end-to-end—from design through release—collaborate across teams, and proactively identify improvements to code, systems, and processes. You will also support team growth through mentorship and knowledge sharing, while adapting to modern engineering practices including AI-assisted development.

Key Responsibilities

Feature Development & Delivery

  • Design, develop, test, and release robust features with a strong focus on reliability and performance

  • Own delivery of moderately complex work independently, from backlog refinement through production deployment

  • Ensure code quality through unit testing, integration testing, and adherence to engineering standards

Quality, Reliability & Operations

  • Proactively identify and fix root cause issues to improve system stability

  • Troubleshoot and resolve production incidents, ensuring minimal impact and effective follow-up

  • Maintain clear and up-to-date technical documentation

Collaboration & Execution

  • Work closely with product, QA, and DevOps teams to deliver features aligned with business goals

  • Participate actively in sprint planning, design discussions, and code reviews

  • Contribute to improving team velocity and delivery predictability

Mentorship & Growth

  • Support onboarding and mentor junior engineers through guidance and knowledge sharing

  • Continuously learn and apply new technologies, tools, and best practices

  • Contribute to a collaborative, inclusive, and accountable engineering culture

Required Skills & Competencies

Core Engineering

  • Solid understanding of software design principles, object-oriented programming, and system design fundamentals

  • Experience with API development and microservices-based architectures

  • Understanding of cloud computing (Azure or AWS) and modern application development patterns

  • Knowledge of data security and secure coding practices

Modern Engineering & AI

  • Exposure to AI tools and AI-assisted development workflows

  • Basic experience integrating or working with AI/ML or generative AI capabilities

  • Willingness to adopt emerging areas such as AI agents and automated AI workflows (AutoAI)

Collaboration & Problem Solving

  • Strong analytical and problem-solving skills with attention to detail

  • Effective communication and collaboration across cross-functional teams

  • Adaptability in fast-paced, iterative environments

  • Commitment to ethical and responsible engineering practices

Qualifications (Education & Experience)

  • 5+ years of experience in software engineering and application development

  • Proven ability to independently deliver features and manage assigned workstreams

  • Experience working in cross-functional, Agile teams

  • Demonstrated ability to troubleshoot issues and improve system reliability

Technical Skills

  • Proficiency in: 

  • Backend: C#, .NET, Python

  • Frontend: React, Redux, Material UI, Bootstrap

  • Experience with Web APIs and microservices architectures

  • Familiarity with source control systems (e.g., GitHub)

  • Experience with databases (e.g., SQL Server, PostgreSQL, DynamoDB)

  • Strong fundamentals in cloud platforms (Azure/AWS) with application development experience

  • Exposure to AI technologies and tools

  • Working knowledge of CI/CD pipelines (GitHub Actions, Azure DevOps)

  • Familiarity with Agile development practices and DevOps principles

  • Ability to quickly learn new technologies and share knowledge with the team

Nice to Have

  • Certifications in Cloud (Azure/AWS) or AI/ML

  • Experience contributing to performance optimization or reliability initiatives

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