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Stelle
· Lead
Lead Software Engineer
Softwareentwickler
• Lead
• Hybrid
• Vollzeit
•
UK - London, Vereinigtes Königreich
As a Lead Software Engineer, you'll spearhead the technical direction and delivery of complex, innovative AI projects, acting as a technical expert from AI strategy through to client-side deployment.
Responsibilities
- ▹Act as the primary technical authority for enterprise clients, guiding projects from discovery to production deployment
- ▹Lead and mentor a squad of engineers, empowering them to deliver their best work
- ▹Implement scalable and future-proof front- and backend engineering patterns and practices
- ▹Translate complex customer needs and implementation challenges into actionable feedback that shapes the next phase of a project
- ▹Distil complex technical concepts for diverse audiences, from client-side engineers to senior business stakeholders
Requirements
- ▹Proven ability to distil complex technical concepts for a wide range of audiences
- ▹Strong, hands-on experience in full-stack development, with a deep understanding of system architecture and design
- ▹Expert-level Python and TypeScript/React skills
- ▹Solid knowledge of CI/CD pipelines (e.g., GitLab), Docker, and deploying applications on Kubernetes
- ▹A demonstrated history of championing automated testing strategies for robust, reliable code
- ▹A genuine passion for working with customers, understanding their problems, and delivering solutions that provide immediate value
Soft skills
Mentoring and team leadershipDistilling complex concepts for varied audiencesCustomer focus
What we offer
- ▹Unlimited annual leave
- ▹Private healthcare and dental cover
- ▹Enhanced parental leave
- ▹Family-friendly flexibility and flexible working
- ▹Sanctus coaching
- ▹Hybrid working
About the company
Founded in 2014, Faculty is a human-centric AI company that has worked with over 350 global customers across government, finance, retail, energy, life sciences and defence. This role sits within Faculty's Professional and Financial Services unit, which draws on over a decade of Applied AI experience to help financial institutions become more efficient, enhance customer experience, and find commercial upside in uncertain markets, within the constraints of a highly regulated industry.
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