Software Engineer

Software Engineer (Web Solutions Engineer)

Location: London (Hybrid)

Contract Type: Fixed-Term Contract

Compensation: Approx. £91K+ Benefits

About the Team

Our client's Global Sales Tools Engineering team builds internal tools for sales and marketing functions. These solutions streamline business operations, improve engagement with customers, partners, and users, and enable world-class sales experiences. The focus is on deploying sales tools that simplify workflows, deliver actionable insights, and ensure compliance—without unnecessary complexity.

Role Overview

As a Web Solutions Engineer (WSE), you will design, build, and deploy scalable, modern web applications that directly impact global sales operations. You will own the delivery of full functionality within moderately complex projects, architect high-quality web applications, and develop key tools and systems that support them.

Key Responsibilities

• Write and review code in JavaScript/TypeScript, Java, Kotlin, Golang, and/or SQL.
• Test, debug, maintain, and enhance full-stack web applications.
• Create services using standard development tools.
• Write and review technical documentation, including design, development, and revision documents.
• Collaborate cross-functionally with Product, UX, QA, and Engineering teams to deliver new features.

Required Qualifications

• BS degree in Computer Science, Electrical Engineering, Mathematics, or a related quantitative field, OR 3+ years of equivalent software development experience.
• 3+ years’ experience with JavaScript/TypeScript, Java, Kotlin, Golang, and/or SQL.
• 3+ years’ experience developing resource-oriented APIs.
• 3+ years’ experience in database design and debugging.
• Proven expertise in multiple general-purpose programming languages.
• Experience building large-scale, full-stack web solutions.
• Knowledge of microservice design and implementation.

Preferred Qualifications (Nice to Have)

• Experience with DevOps practices.
• Knowledge of data processing pipelines.
• Skills in database optimisation.