Senior Engineer

About Pandora

Pandora is the world's largest jewellery brand, specialising in the design, crafting and marketing of accessible luxury jewellery made from high-quality materials. Each piece is created to inspire self-expression, allowing people to share their storie

Software Development & Technical Delivery

• Design, develop, test, and maintain business applications, APIs, integrations, and automation solutions supporting Innovation & Product Development (INPD), Human Resources (HR), and Safety, Health & Environment (SHE).
• Translate business and functional requirements into high-quality, maintainable, and scalable software solutions.
• Deliver features and enhancements aligned with sprint commitments and product roadmaps.
• Ensure solutions meet requirements for quality, performance, security, and supportability.
• Partner with Solution Architects to validate technical feasibility, identify implementation risks, and translate approved architecture into detailed technical designs.
• Escalate architectural deviations, security concerns, and significant design trade-offs through the appropriate governance process.

Integration & Application Engineering

• Develop and maintain integrations between business platforms, enterprise applications, SaaS solutions, and data services.
• Implement APIs, event-driven integrations, middleware services, and workflow automation.
• Ensure data integrity, reliability, and security across integrated systems.
• Troubleshoot and resolve integration issues while identifying opportunities for optimization and simplification.
• Develop reusable components, libraries, and engineering patterns to accelerate delivery.

DevSecOps & Engineering Excellence

• Follow Pandora software engineering, DevSecOps, cybersecurity, and quality standards throughout the development lifecycle.
• Contribute to CI/CD pipelines, automated testing, code quality controls, and deployment automation.
• Apply secure coding practices and support vulnerability remediation activities.
• Participate in peer reviews, code reviews, and engineering quality assessments.
• Drive continuous improvement of development practices, standards, and engineering productivity.

AI-Assisted Engineering & Automation

• Leverage AI tools and modern engineering capabilities to improve development efficiency, code quality, testing, and documentation.
• Support implementation of AI-enabled features, intelligent automation, and productivity improvements within business applications.
• Promote responsible and secure use of AI-assisted software engineering practices.
• Contribute to establishing reusable AI engineering patterns and development guidelines for the engineering community.

Production Support & Reliability

• Provide Level 3 support for applications and integrations within assigned product domains.
• Perform root cause analysis and implement permanent corrective actions for recurring issues.
• Monitor application health, performance, and reliability through appropriate observability and monitoring tools.
• Maintain operational documentation, support procedures, and troubleshooting guides.
• Drive initiatives that reduce technical debt and improve platform stability.

Collaboration & Capability Building

• Collaborate with Product Managers, Product Owners, Business Analysts, Solution Architects, and business stakeholders to deliver business outcomes.
• Actively participate in Agile ceremonies and contribute to backlog refinement, estimation, and sprint planning.
• Mentor and support junior engineers through coaching, code reviews, and knowledge sharing.
• Contribute to building engineering capability, improving team practices, and fostering a culture of continuous learning.

Qualifications

• 5+ years of experience in software engineering, platform engineering, application development, or enterprise system integration.
• Proven experience owning and delivering business-critical applications and integrations.
• Experience working in Agile product teams and collaborating with Product Managers, Business Analysts, and business stakeholders.
• Experience supporting enterprise-scale applications throughout the software development lifecycle.
• Proficiency in modern programming languages such as C#, Java, JavaScript/TypeScript, Python, or similar.
• Experience with REST APIs, GraphQL, microservices, and event-driven architectures.
• Experience with cloud platforms, preferably Microsoft Azure.
• Knowledge of CI/CD pipelines, automated testing, DevSecOps, and Infrastructure as Code.
• Experience with monitoring, observability, and application support practices.
• Experience leveraging AI-assisted development tools such as GitHub Copilot, Claude Code, or equivalent.
• Understanding of Generative AI, Agentic AI, prompt engineering, and AI-enabled software delivery practices.

Competencies

• Demonstrates strong technical ownership and accountability for delivery outcomes and production reliability.
• Applies structured analytical thinking to solve complex technical and business problems.
• Communicates technical concepts clearly to technical and non-technical stakeholders.
• Builds effective cross-functional partnerships and influences decisions without formal authority.
• Balances delivery speed with quality, security, maintainability, and long-term business value.
• Coaches engineers through constructive feedback, code reviews, and knowledge sharing.
• Demonstrates curiosity and a continuous-improvement mindset toward technology, engineering practices, and AI-enabled delivery.