Iris Software Group Jobs

You’ll work on cloud-based applications and data platforms that serve millions of users, taking ownership of features from initial requirements through to production. Working with modern .NET, C#, cloud and web technologies, you’ll solve real customer problems while developing your skills across scalable SaaS engineering.

We’re also evolving how we build software. As IRIS continues its journey towards becoming an AI-first organisation, you’ll have the opportunity to use AI-assisted engineering tools, work with modern cloud technologies and contribute to the engineering practices that shape our products.

This is a great opportunity for an engineer who is comfortable working independently on features, but still wants an environment where they can learn from experienced engineers and continue growing technically.

What will you be doing?

You’ll:

• Deliver features end-to-end, from understanding requirements and designing a solution through to deployment and production.
• Own small to medium-sized features, including API development, integrations, data changes and multi-component functionality.
• Build modern applications using C#, .NET Core, ASP.NET Core Web APIs and contemporary frontend technologies.
• Contribute to technical and architectural decisions around component design, database changes and API contracts.
• Build and deploy cloud-native applications across Azure or AWS.
• Work with SQL Server and NoSQL technologies such as CosmosDB and DynamoDB.
• Build and maintain microservices and REST APIs.
• Work with Docker and Kubernetes to support containerised applications and deployments.
• Contribute to and improve CI/CD pipelines, automated quality checks and deployment processes.
• Write clean, maintainable and scalable code using SOLID principles and clean architecture.
• Work closely with Product, QA, Design and DevOps to turn requirements into high-quality software.
• Participate in code reviews, pair programming and technical discussions.
• Help troubleshoot production issues and continuously improve the performance and reliability of our products.
• Share knowledge and provide peer mentoring to junior engineers.
• Use AI-assisted engineering tools responsibly to improve development, testing and debugging.

What are we looking for?

We’re looking for an engineer who has built a solid foundation in software development and is ready to take greater ownership of the features and solutions they deliver.

The key technical experience

You’ll ideally bring:

• 2 to 4 years of professional software development experience.
• Good hands-on experience with .NET Core, C#, ASP.NET Core Web APIs and REST.
• Understanding of patterns including async/await and dependency injection.
• Experience with SQL Server, including data modelling and query optimisation.
• Experience with modern frontend technologies such as Angular, React or Vue.js and TypeScript, or working knowledge of frontend development alongside stronger backend expertise.
• Experience building and deploying applications using Azure or AWS.
• Exposure to technologies such as Azure Functions, Queues, Blob Storage and VMs, or AWS services such as Lambda, SQS/SNS and EC2.
• Experience with Docker and/or Kubernetes, including AKS or EKS.
• Understanding of CI/CD, using technologies such as Azure DevOps Pipelines or GitHub Actions.
• Working knowledge of Infrastructure as Code, using technologies such as Terraform, Bicep, ARM Templates, AWS CloudFormation or CDK.
• Understanding of SOLID principles, clean architecture and domain-driven design.
• Experience implementing automated testing, with an understanding of TDD/BDD approaches.
• Experience working with scalable, internet-facing applications.
• Knowledge of observability and production support using tools such as DataDog, Application Insights or Amazon CloudWatch.
• An understanding of application security, including vulnerability management and threat modelling.

You don’t necessarily need deep expertise in every technology listed above. We’re looking for someone with strong core engineering skills who can continue developing across the wider stack.

AI-assisted engineering

AI is becoming an increasingly important part of how we build software at IRIS.

We’re particularly interested in engineers who have experience using tools such as GitHub Copilot, Cursor, Claude Code or Devin to support areas including:

• Solution design
• Coding
• Testing
• Debugging
• Code review
• Engineering productivity

Just as importantly, you’ll understand the need to use these tools critically and responsibly, validating their output and using them to enhance rather than replace good engineering judgement.

What will help you succeed?

This role would suit someone who can demonstrate:

• A track record of delivering software successfully within an Agile environment.
• Experience developing scalable web applications and cloud-based solutions.
• An understanding of the software development lifecycle and DevOps principles.
• The ability to work independently on routine engineering tasks while collaborating with more experienced engineers on particularly complex problems.
• Strong analytical and problem-solving skills.
• The confidence to communicate technical ideas, challenges and trade-offs clearly.
• A collaborative approach to working with Engineering, Product and QA colleagues.
• Experience sharing knowledge or providing technical guidance to more junior engineers.
• A genuine interest in learning new technologies and continually improving how software is built.

You don’t need everything below, but experience in any of these areas would be valuable:

• Experience working in regulated or complex environments such as finance, health or government technology.
• Experience integrating AI tools into software development workflows.
• Experience with DataDog and application performance monitoring.
• Modern UI architecture such as micro-frontends, SSR or SSG.
• Cloud security technologies such as Azure Key Vault or AWS Secrets Manager.
• Experience with event-driven architectures.
• Experience with GraphQL, SignalR or WebSockets.
• NoSQL experience with technologies such as DynamoDB or CosmosDB.
• Experience with serverless computing and cloud deployments.