At a Glance
- Tasks: Provide top-notch technical support for Moody's Insurance software solutions and enhance customer experiences.
- Company: Join Moody's, a leader in risk assessment and an inclusive employer.
- Benefits: Competitive salary, diverse workplace, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and career development.
- Why this job: Be part of a team transforming risk into opportunity with innovative AI solutions.
- Qualifications: Experience in software support, strong problem-solving skills, and knowledge of cloud technologies.
The predicted salary is between 60000 - 80000 £ per year.
This job is with Moody's, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We strive to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it.
If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.
Skills and Competencies
- Proven experience supporting enterprise software applications in a customer‑facing environment
- Strong troubleshooting, analytical, and problem‑solving skills, with the ability to assess business impact and prioritise effectively
- Working knowledge of cloud‑based SaaS technologies, REST APIs, SQL, and familiarity with monitoring and data visualisation tools (e.g., Kibana); experience with authentication frameworks such as SSO is advantageous
- Excellent communication skills, with the ability to clearly convey technical information to both technical and non‑technical stakeholders
- Ability to independently manage multiple customer inquiries while collaborating effectively across global, cross‑functional teams; industry exposure to insurance, reinsurance, or financial services is beneficial
- Demonstrated proficiency in artificial intelligence concepts, with hands‑on experience using AI tools to streamline workflows and enhance operational efficiency
- Proven ability to apply AI‑enabled capabilities to support analysis, issue resolution, and decision‑making, alongside a growing awareness of AI risk management and responsible, ethical AI use
Education
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or another relevant STEM‑related discipline
Responsibilities
- This role is responsible for delivering high‑quality technical support and implementation assistance for Moody’s Insurance enterprise software solutions, while embedding AI‑enabled ways of working to improve service quality and customer outcomes.
- Provide high‑quality technical support and implementation assistance for enterprise software solutions, ensuring an excellent customer experience
- Deliver technical support and implementation guidance across the Moody’s Insurance product suite in line with established processes and best practices
- Manage customer inquiries and technical issues of moderate complexity through to resolution, escalating where appropriate and maintaining timely, clear communications
- Investigate and troubleshoot software, infrastructure, and integration‑related issues using logs, databases, APIs, diagnostic, and monitoring tools
- Leverage AI‑enabled tools and agentic AI capabilities to support troubleshooting, pattern identification, and knowledge retrieval, improving speed and consistency of issue resolution
- Collaborate closely with Product, Engineering, Cloud Operations, and Customer Success teams to resolve customer issues and continuously improve service delivery
- Build a strong understanding of customer workflows, business processes, and operational challenges to provide effective, context‑aware support
- Contribute to knowledge‑sharing initiatives, documentation improvements, and process optimisation activities, including the use of AI to enhance knowledge management
- Participate in software release readiness activities, user acceptance testing support, and internal enablement sessions
About the Team
The Application Technical Support team delivers global software support and implementation assistance across Moody’s Insurance solutions. Working closely with customers, Product, Engineering, and Cloud Operations, the team operates in a collaborative and fast‑paced environment focused on efficient issue resolution and high service standards. The team is actively embracing AI, including agentic AI capabilities, to enhance troubleshooting, knowledge sharing, and customer engagement, while continuing to deliver strong technical expertise and customer‑focused support practices.
Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.
Software Support Engineer employer: Moody's
Moody's is an exceptional employer that fosters an inclusive and innovative work culture, where every employee is encouraged to express their ideas and contribute to meaningful projects. With a strong focus on professional growth, employees have access to diverse training opportunities and the chance to work alongside industry leaders in catastrophe risk management. Located in a vibrant environment, Moody's not only prioritises employee well-being but also champions diversity, making it a rewarding place for those looking to make a significant impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Software Support Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Moody's or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Moody's.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Moody's.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Moody's that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Software Support Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Moody's.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Moody's and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Moody's
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Moody's uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
