Location
London

Hours
Full Time - Hybrid model requiring onsite presence approximately 50% of the time, subject to role requirements and regular review.

Salary
Negotiable

About the Role
Reporting to the Head of Collaboration Tooling within the Infrastructure & Operations group in Technology, this senior engineering role focuses on implementing and supporting collaboration tools and services used by Financial Times staff. You will lead technical design and architectural decisions for collaboration tooling platforms, act as a subject matter expert on AI capabilities within these tools, and engage with multiple teams across FT Technology to ensure effective collaboration and tool adoption.

The Infrastructure & Operations team comprises around 90 people working across diverse areas including cloud services, code management, end-user device management, collaboration tools, networking, global service desk, identity and access management, and technical operations support. The team values transparency, accountability, shared responsibility, and teamwork, fostering a supportive and knowledge-sharing culture.

Your responsibilities will include contributing to product and renewal roadmaps, managing suppliers and vendors, establishing engineering standards and operational practices, and acting as a technical escalation point for complex problems. You will also promote an inclusive, respectful, multidisciplinary culture and help improve team technology, processes, and skills.

Key collaboration tools you will focus on include ChatGPT, Google Workspace, Google Gemini, Slack, Jira, Confluence, Figma, Make, MASV, Monday.com, Zapier, LucidChart, and LucidSpark, among others.

This role offers the opportunity to work in a globally recognised news organisation committed to innovation, diversity, and employee wellbeing, with access to best-in-class benefits and a hybrid working model that balances flexibility with team collaboration.

Experience
Proven experience in senior engineering roles involving collaboration tooling platforms and architectural decision-making. Experience working with AI capabilities within collaboration tools is highly desirable. Comfortable acting as a technical escalation point and making sound technical decisions in ambiguous situations.

About you
Enthusiastic about contributing across all team responsibilities with a unique perspective. Ability to raise the skills and performance of colleagues. Pragmatic and action-oriented while maintaining high-quality engineering standards. Detail-oriented with common sense. Collaborative and supportive team player. Passionate about learning and teaching through pair programming, workshops, documentation, and mentoring. Strong problem-solving skills using technology. Curious about emerging technologies, especially AI and automation, and able to translate them into practical business value.

Qualifications
While specific qualifications are not explicitly stated, a strong technical background in collaboration tools, software engineering, and AI integration is expected. Commitment to continuous learning and professional development is essential.