FullStack Web Developer

Humanitarian Operations
Edinburgh
3 months ago
Applications closed

Related Jobs

View all jobs

Trainee Coding and Programmer - No Experience Required

Trainee Coding and Programmer - No Experience Required

Full Stack Developer

Full Stack Developer - Computer vision

Full Stack Developer - Computer Vision

Software Engineer

Full Stack Developer at Humanitarian Operations

 

Location: This is a fully in-person role based in Edinburgh, Scotland. We require you to work from our office in Edinburgh five days a week. 

 

Why Choose HOPE (Humanitarian Operations)?   

At Humanitarian Operations, we do things a little differently. We are done with corporate hierarchies and work in an agile, start-up, fashion. We celebrate everyone’s individuality and ideas as exactly what they are: valuable!    

 

The work culture at HOPE is collaborative and relaxed. We encourage feedback and support each other to solve problems–always striving to be the best we can be. We are driven by a passion for quality and delivering outstanding products.       

 

We don’t believe in micro-management; we believe in supporting everyone to reach their best potential and practise using the most efficient and innovative solutions. HOPE is not just a place of work. It is a place of growth, learning, and development. We are co-creating a new world and having fun whilst doing it. We want to challenge everyone in positive and creative ways every day so we can all evolve together. 

 

Basic Qualifications 

  • Bachelor’s degree or certification in programming (not mandatory); please include your GitHub profile. 
  • A strong desire to write readable, maintainable, modular, and extensible code. 
  • Proficiency inJavaScript,TypeScript,React,Node.js, andNext.js
  • Understanding of how to implementREST APIsandGraphQL
  • Familiarity withExpress,MVCarchitecture, andLaravel
  • Basic knowledge ofPHP,C++,Python(including machine learning libraries), and database technologies such asMySQL,NoSQL,MongoDB, andPostgreSQL
  • Experience withAWSand deployment tools likeJenkins
  • Proficiency inHTML,CSS, and frameworks likeBootstrap
  • Familiarity with design tools such asFigma
  • Excellent communication skills, with the ability to engage with the wider team during show-and-tell sessions, requirement analysis, retrospectives, etc. 
  • Knowledge of common CI/CD tools. 

 

Advanced Qualifications 

  • Experience in designing RESTful APIs. 
  • Solid understanding of object-oriented programming principles. 
  • Familiarity with AWS server-less architectures. 
  • Strong grasp of Agile methodologies, including story point estimation, refinement, sprint planning, retrospectives, and sprint demos. 
  • Awareness of best practices related to accessibility, SEO principles, security, and performance. 
  • Commercial experience using version control tools (e.g., GIT) in a large development team that practices Continuous Integration. 

Lead Full Stack Developer: (£50K - £60K Annually)  

 

Responsibilities: 

  • Advocate for improvements in product quality, security, and performance, setting high standards for the team to follow. 
  • Identify impediments to team efficiency and propose/implement solutions, facilitating a culture of continuous improvement. 
  • Maintain high standards of software quality within the team by establishing best practices and processes for development, testing, and deployment. 
  • Demonstrate initiative and the ability to work autonomously, driving projects from inception to completion. 
  • Lead projects from inception usingNode.js, ensuring that best practices are followed in both front-end and back-end development. 
  • Mentor and guide mid-level and junior developers, fostering a collaborative and supportive work environment. 
  • Collaborate with UX/UI designers to create user-friendly interfaces and enhance the overall user experience. 
  • Oversee the integration of third-party APIs and services, ensuring seamless functionality within the application. 
  • Conduct technical interviews and assist in the hiring process for new team members, contributing to team growth and development. 
  • Manage project timelines and deliverables, ensuring that deadlines are met without compromising quality. 
  • Participate in strategic planning and decision-making processes, helping to shape the technical direction of projects. 

 

Technical Skills and Qualifications: 

  • Proficiency in front-end technologies such asHTML,CSS,JavaScript, and frameworks likeReact
  • Strong experience with back-end technologies, especiallyNode.js, and database management (SQL and NoSQL databases likeMySQL). 
  • Familiarity with RESTful APIs and GraphQL for data communication between the front-end and back-end. 
  • Knowledge of version control systems, particularlyGit, for collaborative development. 
  • Understanding of agile methodologies, including sprint planning, estimation, and retrospectives. 
  • Experience with cloud services (e.g., AWS, Azure) and deployment practices. 
  • Strong problem-solving skills, with the ability to troubleshoot and optimize applications for performance and scalability. 
  • Excellent communication skills, both written and verbal, with the ability to work effectively in a team-oriented environment.  

 

Mid Level Full Stack Developer (£35K - £45K Annually) 

 

Responsibilities 

  • Develop features that are highly secure, well-tested, and performant, utilising best practices in coding and development. 
  • Solve technical problems of varying scope and complexity, providing effective solutions in a timely manner. 
  • Collaborate with cross-functional teams, including designers, product managers, and other developers, on large projects to ensure alignment with project goals. 
  • Take ownership and accountability for your work, ensuring that tasks are completed on time and meet quality standards. 
  • Employ creativity to solve problems and overcome obstacles, leveraging your technical expertise to enhance the product. 
  • Participate in code reviews and contribute to the continuous improvement of the codebase and development processes. 
  • Stay up-to-date with emerging technologies and industry trends, applying this knowledge to your work and suggesting improvements. 
  • Write clear and concise documentation for APIs, technical specifications, and other project-related materials. 
  • Assist in troubleshooting and debugging issues across the full stack, from the front-end to back-end systems. 

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.