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# Software Engineer

- **Company:** RWS Group
- **Location:** Sheffield, UK
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, Cloud Engineering, Code Review, Cyber Security, Continuous Integration, Data Structures, Next.js, Software Engineering, TypeScript, Web Application Frameworks, ReactJS, Delivery Pipeline, Large Language Models, Production Code, Data Analytics, Devsecops, Service Stack, Vulnerability Analysis
- **Published:** August 10, 2026
- **Apply:** https://www.totaljobs.com/job/software-engineer/rws-group-job107818020

## About the Role

We do not expect candidates to match every item below. Strong engineers learn quickly, and we value curiosity, judgement, and adaptability. You will likely have experience in many of the following areas:

 * Several years of professional software engineering experience, with a track record of delivering complex systems
 * Strong backend engineering skills, comfortable working across multiple technology stacks (e.g. TypeScript, Java, .NET) rather than being tied to one
 * Experience building and operating APIs and distributed services
 * Hands-on experience with AI development tools and a genuine interest in how agentic tooling is changing software engineering
 * Experience with AWS and cloud-native architectures
 * Strong understanding of containers and modern deployment practices
 * A DevSecOps mindset with experience owning the security and operation of services you build
 * Understanding of modern delivery practices: CI/CD, automated testing, observability, and production ownership
 * Ability to work across the full development lifecycle, from early design through to deployment and operations
 * Clear communication skills and a collaborative working style

Experience with some of the following would be beneficial:

 * React, Next.js, or modern frontend frameworks
 * Event-driven or message-based architectures
 * Working in regulated, compliance-sensitive, or IP-adjacent domains
 * Building or operating AI-enabled products (LLM integration, intelligent automation)

## Description

We are looking for Staff Engineers to join a new team within Protect and play a central role in building the next generation of our IP platform., With a global reach, Product & Technology provides support services to over 7500 end users worldwide. We take pride in managing the information security operation and safeguarding all our assets. Our core functions encompass Enterprise & Technical Architecture, Network & Voice, Infrastructure, Service Delivery, Service Operations, Data & Analytics, Security & Quality Compliance, Transformation, Application Development, Enterprise Platforms, With a dedicated team of over 500 staff, Product & Technology ensures a strong presence across all regions, enabling efficient and effective support to our global operations. Job Overview: Key Responsibilities

 * Designing and building key parts of the Protect platform, including APIs, services, integrations, and user-facing features
 * Taking ownership of significant technical areas and driving them from concept through to production and ongoing operations
 * Using and championing AI development tools and agentic workflows as part of daily engineering practice
 * Contributing to architecture and technical design decisions, particularly around platform modernisation and data model evolution
 * Writing clean, well-tested, production-ready code as a daily practice
 * Owning the security, reliability, and operation of the services you build, with a DevSecOps approach throughout
 * Improving engineering practices including CI/CD pipelines, automated testing, observability, security scanning, and deployment workflows
 * Collaborating closely with product managers, designers, domain experts, and other engineers to deliver meaningful outcomes
 * Mentoring and supporting engineers across the team through pairing, code review, and technical guidance
 * Working with domain-specific workflows, including patent lifecycle processes and IP data structures, and building an understanding of how the technology supports specialist professional users


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