Senior ServiceNow Developer

Robert Walters
London
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineer (GO/PHP)

Senior Project Engineer

Senior Licensing & Tools Applications Engineer

Senior Verification Engineer

Senior Solutions Architect

Senior Electronics Engineer

Job Description

Senior ServiceNow Developer - JP Morgan - London- 6 months contract - Onsite - PAYE
We are seeking a Senior ServiceNow Developer to join JP Morgan in London on an initial 6 months contract, with a strong possibility to extend and even convert to permanent, to help with the design and development of a ServiceNow Service Portal solutions. Please note that ServiceNow and web development experience is key for this position.
Job Description:
As a ServiceNow Developer at JPMorgan Chase within the Corporate Sector, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives.
In particular, you will collaborate with clients to understand their requirements and translate them into effective ServiceNow Service Portal solutions. You will design and develop Service Portal pages, widgets, and components using HTML, CSS, JavaScript, and ServiceNow Scripting. This role provides an opportunity to customize and extend the functionality of Service Portal by leveraging ServiceNow APIs and integration capabilities. You will also have the chance to work with cross-functional teams to integrate Service Portal with other ServiceNow modules and external systems.

Job Responsibilities

  • Collaborate with clients to understand their requirements and translate them into effective ServiceNow Service Portal solutions.
  • Design and develop Service Portal pages, widgets, and components using HTML, CSS, JavaScript, and ServiceNow Scripting.
  • Customize and extend the functionality of Service Portal by leveraging ServiceNow APIs and integration capabilities and create responsive and mobile-friendly Service Portal interfaces that align with industry best practices and user experience design principles.
  • Collaborate with cross-functional teams to integrate Service Portal with other ServiceNow modules and external systems.
  • Conduct testing and quality assurance to ensure the functionality, usability, and performance of Service Portal applications.
  • Provide training and support to end-users on Service Portal usage and best practices.
  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
  • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
  • Contributes to software engineering communities of practice and events that explore new and emerging technologies and stay up to date with the latest web technologies and trends to recommend innovative solutions to clients.
  • Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

  • Formal training or certification on ServiceNow concepts and proficient advanced experience as a ServiceNow Service Portal Developer and developing custom, advanced portal widgets
  • Extensive Transition & Transformation experience with ServiceNow Platform
  • Expertise in web development technologies such as HTML, CSS, JavaScript, and jQuery
  • Expertise in ServiceNow development, including client scripts, UI policies, business rules, and workflows.
  • Expertise with AngularJS or other modern JavaScript frameworks and expertise in responsive design principles and mobile-friendly development.
  • Excellent analytical and problem-solving skills and effective communication and collaboration skills to work with clients and cross-functional teams
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
  • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Demonstrated knowledge of software applications and technical processes within a technical discipline (eg, cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

  • ServiceNow certifications, such as Certified Application Developer (CAD) or Certified Implementation Specialist (CIS).
  • Experience with creating visually appealing and interactive Service Portal themes and layouts.
  • Knowledge of IT Service Management (ITSM) processes and ServiceNow ITSM module.
  • Familiarity with RESTful APIs and integration techniques.
  • Understanding of Agile/Scrum methodologies

Please note that this role will be working onsite full-time

We are committed to offering an inclusive recruitment experience. If you require accommodations because of disability or health condition, please email. This position is being sourced through our Outsourcing service line.

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.

Jobs

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.

Jobs Careers

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.

Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.