Senior Software Engineer

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The Citation Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1995

📋 Compliance

☁️ SaaS

👥 HR Tech

💰 Private equity on 2025-01

Compliance • SaaS • HR Tech

The Citation Group is a global compliance and workplace risk management company that helps businesses protect people, reputations, and the environment. It provides a mix of advisory services (HR and employment law, health & safety, certifications such as ISO/NDIS/SSIP), background screening, cybersecurity advice, and sustainability/waste management, alongside technology products — a compliance platform, e-learning, payroll and identity verification capabilities. The company operates across the UK, Australia, New Zealand and Canada, reports large-scale software usage and client counts, and has grown via acquisitions and investment to expand payroll, digital identity and HR technology offerings.

📋 Description

• Write production-quality code every day across the full stack, covering backend, front-end, and the infrastructure that supports it. • Take ownership of features and workstreams from design through to deployment, delivering working software in shippable increments. • Contribute to technical design and architecture discussions, bringing well-reasoned input and a practical perspective. • Run technical spikes and proofs-of-concept to explore approaches and reduce uncertainty before committing to a direction. • Manage your own technical debt responsibly, keeping the codebase in a state you are proud of. • Play an active part in the decomposition of shared services into team-owned components, taking on defined pieces of that work and delivering them with care. • Support the move to CI/CD by contributing to pipeline work, writing automated tests, and adopting trunk-based development as the default way of working. • Build with observability in mind from the start, covering instrumentation, logging, and monitoring so that your team can see what their systems are doing in production. • Contribute to the team's growing DevOps capability, taking on operational responsibility for the systems you build. • Write clean, testable, secure code and hold that standard consistently, not just when it is convenient. • Practise test-driven development and contribute to a culture where good testing is the norm, using AI to generate scaffolding and explore edge cases as part of that workflow. • Participate actively in code review, giving and receiving feedback that improves the work and raises the bar for the whole team. • Apply secure coding practices as a matter of course: dependency management, threat awareness, and security testing. • Use AI natively in your engineering work, as part of how you think through problems, generate and review code, and build and test solutions. • Engage actively with the team's AI agents and tooling, helping to refine and improve them as your understanding of what works deepens. • Bring a critical eye to AI-generated output, verifying quality and maintaining the standards you would apply to anything else you ship. • Work closely with your Tech Lead and teammates through pairing, mob programming, and shared problem-solving. • Support less experienced engineers where you can, sharing knowledge through code review, pairing, and day-to-day conversation. • Contribute to planning, refinement, stand-ups, reviews, and retrospectives as an engaged and thoughtful team member. • Take an active interest in your own development, staying current with the technologies and practices the team uses and bringing new ideas back to the team.

🎯 Requirements

• Solid experience as a software engineer with a proven ability to deliver complex features on production systems. • Strong full-stack capability across backend and front-end development, with experience working with databases and cloud infrastructure. • Practical experience with CI/CD pipelines, automated testing, and infrastructure-as-code. • Working knowledge of cloud platforms (Azure/AWS) and containerisation (Docker/Kubernetes). • Sound security fundamentals: secure coding, dependency management, and an awareness of common vulnerabilities. • Experience working on evolving systems, including refactoring and improving existing codebases. • Demonstrable experience using AI as a genuine part of your engineering workflow, not just as a code completion tool. • Comfortable working with AI-generated output critically, knowing how to verify, refine, and take responsibility for what ships.

🏖️ Benefits

• Flexible working hours • Professional development opportunities