Fullstack Engineer – Next.js, TypeScript

🕒 March 6

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

DevFixr

WebsiteLinkedInAll Job Openings

2 - 10 employees

🎯 Recruiter

🤝 B2B

💼 Consulting

Recruitment • B2B • Consulting

DevFixr is a UK-focused offshore developer staffing and engineering services company that supplies vetted offshore developers and dedicated teams to integrate with UK businesses. They offer staff augmentation, dedicated teams and development services across frontend, backend, mobile, AI & machine learning, and Cloud & DevOps, while handling payroll, compliance, and administrative setup so developers can start in around 10 days. DevFixr targets product companies, digital agencies and SMEs, promising faster hiring, flexible engagement models, and typical cost savings of up to 50% versus hiring directly in the UK.

📋 Description

• Building a candidate pool of strong Fullstack Engineers for upcoming client projects across our network. • Work with US and UK-based teams. • Fast-moving and product-focused roles.

🎯 Requirements

• 3–6 Years Experience • Next.js 14+ — App Router, SSR/SSG/ISR, server components, API routes, auth, performance optimisation • TypeScript — strict typing, interfaces, generics, reusable component architecture • React — hooks, state management (Zustand, Redux Toolkit, or Jotai), component design patterns • SQL + PostgreSQL — schema design, indexing, optimised queries, migrations • Prisma or Drizzle ORM — production experience preferred • AWS — EC2, S3, CloudFront, Lambda, RDS, IAM basics • REST APIs + Webhooks — third-party integrations, auth tokens, error handling, retries, data mapping • Git + CI/CD — GitHub Actions, Vercel, or similar deployment pipelines • Exceptional spoken and written English is mandatory.

🏖️ Benefits

• AI tooling experience is increasingly expected across all our client engagements. • Experience using AI coding assistants (Cursor, GitHub Copilot, or similar) in daily workflow. • Familiarity with LLM APIs (OpenAI, Anthropic, or similar) — building features, not just using chatbots. • Basic understanding of prompt engineering and API integration with AI services. • Exposure to vector databases (Pinecone, Supabase pgvector) is a plus.