Software Engineer (Application Engineer or Cloud Engineer)
Role Overview
Designs, builds, tests and supports secure, reliable software solutions as part of a cross-functional engineering team.
This role uses modern software engineering practices, including AI coding assistants and agentic development tools, to accelerate delivery while maintaining strong human ownership of requirements, solution design, security, testing, quality and operational outcomes.
We are looking for engineers who can translate business requirements into effective technical solutions, leverage AI-assisted development responsibly, and ensure that all delivered software meets high standards of quality, maintainability and reliability.
We are recruiting for Full-Stack developers and DevOps/Cloud Engineering specialisms.
Accountabilities:
Collaborate with stakeholders to define requirements, acceptance criteria and technical solutions.
Design, develop and deliver software features, enhancements and defect fixes.
Use AI-assisted and agentic development tools responsibly to improve engineering productivity.
Review and validate AI-generated and human-written outputs for quality, security and maintainability.
Build automated tests and verify solutions meet functional and non-functional requirements.
Participate in design reviews, code reviews and technical problem-solving activities.
Create and maintain clear technical documentation and operational guidance.
Contribute to continuous improvement of engineering practices, tooling and ways of working.
Required Technical Skills:
Full-Stack and Backend Developers
Proficiency and experience with Python
Experience designing and building APIs, services and integrations
Understanding of scalable and secure backend architectures
Full-Stack and Frontend Developers
Proficiency and experience with JavaScript / TypeScript
Experience with React, Next.js or similar modern frontend frameworks
Understanding of modern frontend architecture and user experience principles
DevOps / Cloud Engineers
Good working knowledge of AWS and cloud engineering practices
AWS certification desirable but not essential
Proficiency with Infrastructure as Code, ideally Terraform
Experience operating secure, reliable cloud-native platforms
Working knowledge of Kubernetes deployments.
Skills Relevant Across All Specialisms
Experience using AI coding assistants and agentic development tools to support software delivery
Understanding of the strengths, limitations and risks of AI-generated code and artefacts
Experience validating software against requirements through automated and manual testing approaches
Understanding of CI/CD pipelines, Git-based workflows and Agile delivery practices
Familiarity with cloud-native development and modern software delivery practices
Knowledge of software security, observability and operational best practices
Other Key Skills:
Strong software engineering fundamentals and problem-solving ability
Ability to analyse requirements and contribute to solution design
Critical thinking and sound engineering judgement when reviewing AI-generated outputs
Strong debugging and troubleshooting skills
Effective communication and collaboration within cross-functional teams
Ability to balance delivery speed with quality, security and maintainability
Experience working across the full software development lifecycle
Proven ability to deliver quality software solutions in a professional environment
Experience working within product, platform or engineering teams
Commitment to continuous learning and professional development
Key Skills for This Role
Full Job Posting
Overview:
Designs, builds, tests and supports secure, reliable software solutions as part of a cross-functional engineering team.
This role uses modern software engineering practices, including AI coding assistants and agentic development tools, to accelerate delivery while maintaining strong human ownership of requirements, solution design, security, testing, quality and operational outcomes.
We are looking for engineers who can translate business requirements into effective technical solutions, leverage AI-assisted development responsibly, and ensure that all delivered software meets high standards of quality, maintainability and reliability.
We are recruiting for Full-Stack developers and DevOps/Cloud Engineering specialisms.
Accountabilities:
Collaborate with stakeholders to define requirements, acceptance criteria and technical solutions.
Design, develop and deliver software features, enhancements and defect fixes.
Use AI-assisted and agentic development tools responsibly to improve engineering productivity.
Review and validate AI-generated and human-written outputs for quality, security and maintainability.
Build automated tests and verify solutions meet functional and non-functional requirements.
Participate in design reviews, code reviews and technical problem-solving activities.
Create and maintain clear technical documentation and operational guidance.
Contribute to continuous improvement of engineering practices, tooling and ways of working.
Required Technical Skills:
Full-Stack and Backend Developers
Proficiency and experience with Python
Experience designing and building APIs, services and integrations
Understanding of scalable and secure backend architectures
Full-Stack and Frontend Developers
Proficiency and experience with JavaScript / TypeScript
Experience with React, Next.js or similar modern frontend frameworks
Understanding of modern frontend architecture and user experience principles
DevOps / Cloud Engineers
Good working knowledge of AWS and cloud engineering practices
AWS certification desirable but not essential
Proficiency with Infrastructure as Code, ideally Terraform
Experience operating secure, reliable cloud-native platforms
Working knowledge of Kubernetes deployments.
Skills Relevant Across All Specialisms
Experience using AI coding assistants and agentic development tools to support software delivery
Understanding of the strengths, limitations and risks of AI-generated code and artefacts
Experience validating software against requirements through automated and manual testing approaches
Understanding of CI/CD pipelines, Git-based workflows and Agile delivery practices
Familiarity with cloud-native development and modern software delivery practices
Knowledge of software security, observability and operational best practices
Other Key Skills:
Strong software engineering fundamentals and problem-solving ability
Ability to analyse requirements and contribute to solution design
Critical thinking and sound engineering judgement when reviewing AI-generated outputs
Strong debugging and troubleshooting skills
Effective communication and collaboration within cross-functional teams
Ability to balance delivery speed with quality, security and maintainability
Experience working across the full software development lifecycle
Proven ability to deliver quality software solutions in a professional environment
Experience working within product, platform or engineering teams
Commitment to continuous learning and professional development
Qualifications:
- Degree in Computer Science or a related field, or equivalent industry experience
- Why Arqiva:
- We enable a switched-on world to flow. As the UK’s leader in TV and radio broadcast and the country’s top smart utilities platform, we are shaping the future of connectivity.
- Our infrastructure delivers media and data exactly where they’re needed - whether that’s bringing TV and radio to your home or sending smart meter data to your utility provider. Our technology works quietly behind the scenes, connecting millions every day.
- But it’s not just what we do, it’s how we do it. At Arqiva, you’ll find real connection: supportive teams, active colleague networks and plenty of ways to get involved and feel part of our community. We’ll give you the space and support to grow - whether that’s developing your skills, trying something new or taking on fresh challenges. And because there is more to life than work, our rewards and benefits are designed to support your wellbeing, your lifestyle and what matters most to you.
- Our commitment to Diversity & Inclusion
- At Arqiva, we’re committed to building a workplace where everyone feels valued, heard and empowered to succeed. We welcome applications from all backgrounds and experiences, and we work hard to remove barriers so every colleague can thrive. If you need any adjustments at any stage of the recruitment process, please reach out to [email protected].
- If this sounds like the right next step for you, we’d love to hear from you!
- #LI-KM1
- Relevant Across All Specialisms
- Experience using AI coding assistants and agentic development tools to support software delivery
- Understanding of the strengths, limitations and risks of AI-generated code and artefacts
- Experience validating software against requirements through automated and manual testing approaches
- Understanding of CI/CD pipelines, Git-based workflows and Agile delivery practices
- Familiarity with cloud-native development and modern software delivery practices
- Knowledge of software security, observability and operational best practices
- Strong software engineering fundamentals and problem-solving ability
- Ability to analyse requirements and contribute to solution design
- Critical thinking and sound engineering judgement when reviewing AI-generated outputs
- Strong debugging and troubleshooting skills
- Effective communication and collaboration within cross-functional teams
- Ability to balance delivery speed with quality, security and maintainability
- Experience working across the full software development lifecycle
- Proven ability to deliver quality software solutions in a professional environment
- Experience working within product, platform or engineering teams
- Commitment to continuous learning and professional development
About Arqiva
UK communications infrastructure and media-services company providing broadcast, connectivity, satellite, and smart-metering services to broadcasters and utilities.
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