Lead Full Stack Engineer, Backend Leaning

🕒 April 7

🏢🏡 London – Hybrid

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

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AND Digital

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

☁️ SaaS

Consulting • SaaS • Software Engineering

AND Digital is a technology consulting firm that partners with organizations of all sizes to transform their digital capabilities and close the digital skills gap. By employing a unique "Guide, Build, Equip" model, AND Digital helps clients accelerate digital delivery through consulting, software engineering, mobile app development, experience design, and data solutions. The company focuses on creating better digital products and enhancing the technological capabilities of its clients. Its services extend across multiple regions, including the UK, Europe, and the USA, working closely with clients to solve complex challenges and implement innovative solutions. Known for its club model, AND Digital fosters intimate client partnerships with the advantages of a large firm's resources.

📋 Description

• - Lead Full‑Stack Engineer (Backend-leaning) at AND Digital • - Helping organisations build better digital products and stronger digital teams • - Strong hands-on backend engineering experience • - Proven ability to design and build scalable backend systems • - Hands-on experience with AWS and infrastructure as code • - Comfortable working across the stack • - Demonstrates technical leadership and sets architectural direction • - Consult on AI opportunities with clients • - Collaborate with various teams and manage complex technical problems

🎯 Requirements

• - Strong hands‑on backend engineering experience, with depth in one or more of: Java, Node.js, TypeScript, Python or Go, and the ability to work confidently across multiple languages when needed. • - Proven ability to design and build scalable, resilient, and maintainable backend systems, including REST/GraphQL APIs, event‑driven architectures, and distributed services. • - Hands‑on experience with AWS (Lambda, ECS, DynamoDB, SQS/SNS, API Gateway, Step Functions, etc.) and strong understanding of cloud‑native patterns. Exposure to to GCP, Azure, or other Cloud Platforms would be a valuable plus. • - Solid experience with Infrastructure as Code (Terraform preferred), CI/CD pipelines, and modern deployment practices. • - Comfortable working across the stack, contributing to frontend codebases when needed, even though your strength lies in backend and systems engineering. • - Demonstrates technical leadership, shaping architectural direction, reviewing designs, and role‑modelling high‑quality engineering practices. • - Strong grounding in system design, including trade‑off analysis, performance considerations, observability, and operational readiness. • - Able to take ownership of complex technical problems, make pragmatic decisions, and clearly explain reasoning to both engineers and non‑technical stakeholders. • - Practical experience integrating AI into backend systems — e.g., orchestrating AI services, building AI‑powered workflows, or leveraging AI tools to improve engineering productivity. • - Experience building AI-enabled systems (including LLM- or RAG-based solutions) from MVP or proof-of-concept through to production-ready implementations, with consideration for reliability, evaluation, security, and maintainability. • - Understands where AI meaningfully enhances backend systems (e.g., classification, summarisation, anomaly detection) versus where traditional algorithms are more appropriate. • - Able to evaluate risk, cost, scalability, and maintainability when proposing AI‑driven solutions. • - Curious about emerging AI patterns, frameworks, and tooling, with the ability to apply them pragmatically in line with client needs. • - Comfortable advising clients on realistic AI opportunities and helping them navigate hype vs. practical value. • - Experience working in a consulting or client-facing environment, comfortable operating in ambiguous problem spaces and contributing to both solution discovery and delivery. • - Able to balance client outcomes, commercial considerations, and technical integrity, adapting approach and communication style depending on context. • - Acts as a trusted technical partner within delivery teams and with clients, influencing outcomes through clarity, pragmatism, and credibility. • - Experience with high‑scale distributed systems, event streaming (Kafka, Kinesis), or microservices. • - Exposure to serverless architectures, container orchestration or hybrid cloud environments. • - Familiarity with security best practices, including IAM, secrets management, and secure API design.

🏖️ Benefits

• - 25 days holiday allowance + bank holidays • - 2 days per year for volunteering • - Share scheme • - A £1000 flexifund to use on a personalised list of benefits such Gym membership, Cycle to Work Scheme, Health, dental and optical cash plan • - PLUS many more