Senior Software Engineer - Forward Deployment Engineer (FDE)
Role Overview
Pearson is seeking a Forward Deployment Engineer who combines software engineering expertise with a customer-centric approach.
The role delivers production-ready solutions by translating business requirements into secure, reliable, and maintainable capabilities.
Key Skills for This Role
Full Job Posting
Role Overview
Pearson is seeking a Forward Deployment Engineer who combines software engineering expertise with a customer-centric approach.
The role delivers production-ready solutions by translating business requirements into secure, reliable, and maintainable capabilities.
Location and Work Arrangement
- The role is based in Bengaluru or Chennai.
- The work arrangement is hybrid, with three days in the office per week.
About Pearson
Pearson provides content, assessments, and digital services for learners, educators, and institutions globally.
Customer-Centric Solution Delivery
- Work with customers, business stakeholders, and product teams to understand requirements and desired outcomes.
- Analyze customer journeys, business workflows, and user pain points.
- Translate business needs into practical technical solutions and keep customer value central to delivery.
- Gather feedback and continuously improve delivered solutions.
Discovery and Proof of Concepts
- Lead technical discovery sessions and solution design workshops.
- Develop proof-of-concepts, prototypes, and minimum viable solutions to validate assumptions and reduce implementation risk.
- Evaluate technology options, recommend approaches, present trade-offs, and support implementation planning.
Software and Cloud Engineering
- Design, develop, test, and deploy production-grade software solutions.
- Build APIs, integrations, microservices, automations, and cloud-native applications.
- Design and support AWS and/or Azure solutions using Infrastructure as Code, Terraform, Kubernetes, cloud automation, and deployment pipelines.
- Implement monitoring, logging, observability, and operational controls for scalable and resilient cloud solutions.
Secure and AI-Assisted Engineering
- Apply secure-by-design principles, secure coding practices, security controls, threat modeling, vulnerability remediation, and security reviews.
- Apply DevSecOps practices, including automated security validation and compliance checks.
- Use AI-assisted engineering tools for coding, testing, debugging, documentation, and automation where appropriate.
Technical Leadership
- Provide technical leadership, mentor engineers, and contribute to technical knowledge sharing.
- Lead code reviews, design reviews, and engineering discussions.
- Collaborate with architects, security teams, product teams, and cloud engineers.
Required Qualifications
- Strong customer-centric mindset and experience engaging customers, business stakeholders, and product teams.
- Ability to balance customer experience, business priorities, technical constraints, security requirements, and operational considerations.
- Strong software development experience using Python, Java, TypeScript, or similar technologies.
- Experience building APIs, integrations, distributed systems, and cloud-native applications.
- Understanding of microservices architecture and modern software engineering principles.
- Experience with cloud engineering, Infrastructure as Code, Terraform, Kubernetes, cloud automation, and deployment pipelines.
- Knowledge of secure coding, threat modeling, vulnerability remediation, security reviews, and DevSecOps practices.
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