At a Glance
- Tasks: Design and build AI integration frameworks for manufacturing software.
- Company: Join a leading tech company transforming manufacturing with AI.
- Benefits: Enjoy competitive salary, health perks, hybrid work, and growth opportunities.
- Other info: Collaborate with experts and innovate in a fast-paced environment.
- Why this job: Make a real impact on the future of intelligent manufacturing solutions.
- Qualifications: Experience in software engineering, C#, .NET, and cloud-native development.
The predicted salary is between 63000 - 77000 £ per year.
We are seeking a Senior Software Engineer to design and build the integration frameworks, services, and platform capabilities that connect AI technologies with the Infor MES platform and wider Manufacturing portfolio. This is a hands-on engineering role focused on enabling AI-driven experiences, intelligent workflows, and agent-based solutions through secure and scalable integration patterns. Working closely with the Principal AI Lead, you will develop the tools, APIs, orchestration frameworks, and service layers that allow AI services, agents, and enterprise applications to interact effectively with manufacturing processes and operational data. As AI becomes an increasingly important differentiator within manufacturing software, this role will help establish the reusable engineering foundations required to support future AI capabilities across the product portfolio. Reporting to a Development Manager within the MES engineering organisation, you will collaborate closely with Product Management, Architecture, Engineering, Cloud Operations, and Infor OS teams to deliver production-ready AI solutions.
A Typical Day in the Life Includes:
- Designing and building integrations between MES services and AI platforms.
- Developing tools, connectors, and orchestration services used by AI agents and intelligent applications.
- Building secure APIs and service layers that expose MES business capabilities to AI-enabled solutions.
- Developing reusable frameworks and patterns for tool execution, agent interaction, and workflow orchestration.
- Working closely with the Principal AI Lead to define integration standards, platform capabilities, and architectural approaches.
- Collaborating with cloud, product, and engineering teams to deliver AI-enabled manufacturing solutions.
- Supporting the development of intelligent workflows spanning production, quality, maintenance, inventory, warehouse, and connected worker operations.
- Designing and implementing event-driven integration patterns using modern cloud-native approaches.
- Evaluating and implementing emerging AI integration technologies, frameworks, and engineering practices.
- Helping establish engineering standards for security, observability, resiliency, and maintainability.
- Contributing to technical design discussions and architecture reviews.
- Mentoring and supporting other engineers as AI capabilities become more broadly adopted across the organisation.
Basic Qualifications:
- Demonstrated background of software engineering experience delivering enterprise applications or platforms.
- Strong hands-on development experience using C# and .NET.
- Experience building REST APIs, microservices, and distributed application architectures.
- Experience designing and implementing integrations between enterprise applications and services.
- Experience with cloud-native development on AWS, Azure, or similar cloud platforms.
- Strong understanding of software architecture, security, scalability, reliability, and observability principles.
- Experience working with event-driven architectures and asynchronous integration patterns.
- Experience working with relational databases and modern data access technologies.
- Experience developing reusable frameworks, libraries, or platform components.
- Strong problem-solving skills and the ability to work independently on complex technical challenges.
- Excellent communication and collaboration skills.
Preferred Qualifications:
- Experience with AI platforms, MCP, tool orchestration, agent frameworks, or LLM integration.
- Experience building applications that leverage Large Language Models (LLMs).
- Experience with Retrieval Augmented Generation (RAG), vector databases, embeddings, or semantic search technologies.
- Experience integrating AI services into enterprise business applications.
- Experience within Manufacturing, MES, ERP, Industrial IoT, or Operational Technology environments.
- Experience building SaaS or multi-tenant cloud-native platforms.
- Experience with event streaming technologies and modern messaging platforms.
- Experience contributing to technical architecture and engineering standards.
Infor MES is undergoing a significant transformation as we evolve towards a cloud-native SaaS platform and embed AI-driven capabilities throughout the product experience. You will join a highly experienced engineering team with deep manufacturing knowledge, a strong culture of ownership, and a passion for building great software. We move quickly, value innovation, and give engineers the opportunity to turn ideas into production reality. For the right individual, this role offers the opportunity to build the foundations that power next-generation AI capabilities across manufacturing solutions, working alongside experienced architects, product leaders, and engineers to shape the future of intelligent manufacturing software.
Department: Development
Employment Type: Full Time
Workplace type: Hybrid
Software Engineer, Senior in Orpington employer: Infor
Infor is an exceptional employer that fosters a collaborative and innovative work culture, particularly within the dynamic environment of Farnborough. Employees benefit from a hybrid working model, comprehensive support for professional growth, and the opportunity to lead cross-discipline teams in developing cutting-edge financial management solutions. With a strong emphasis on employee development and a commitment to high standards, Infor provides a rewarding career path for those looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer, Senior in Orpington
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Infor or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Infor.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Infor.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Infor that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Software Engineer, Senior in Orpington
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Infor.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Infor and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Infor
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Infor uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
