At a Glance
- Tasks: Design and develop scalable cloud-native applications using Java or Python.
- Company: Join a high-performing tech team in a fast-paced enterprise environment.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on innovation and continuous improvement.
- Why this job: Work on cutting-edge AI projects that make a real impact globally.
- Qualifications: Experience in Java/Python and cloud-native application development is essential.
The predicted salary is between 63000 - 77000 £ per year.
We're looking for a Senior Software Engineer to join a high-performing technology team building scalable, cloud-native applications and AI-powered solutions within a fast-paced enterprise environment.
You'll work as part of an agile engineering team responsible for designing, developing, and improving critical platforms used across a large global organisation. This is a hands-on engineering role where you'll contribute across architecture, development, optimisation, and operational excellence while helping shape the future direction of modern AI-enabled systems.
What you'll be doing:
- Designing, developing, and maintaining secure, scalable backend applications using Java and Python.
- Building and optimising cloud-native services and distributed systems within AWS environments.
- Developing intelligent search and AI-driven workflows, including semantic search and large language model integrations.
- Collaborating with engineers, product teams, and stakeholders to deliver robust technical solutions.
- Contributing to architectural decisions, engineering standards, and best practices across the software development lifecycle.
- Troubleshooting and resolving complex technical challenges across multiple systems and technologies.
- Mentoring engineers and promoting a collaborative, inclusive engineering culture.
- Evaluating and introducing emerging technologies where they can add measurable business value.
What we're looking for:
- Strong commercial experience developing applications in Java and/or Python.
- Experience building and deploying cloud-native applications, ideally within AWS.
- Solid understanding of software engineering principles, system design, testing, and operational best practices.
- Experience working with scalable distributed systems and APIs.
- Knowledge of AI/ML technologies and modern intelligent application patterns.
- Ability to work independently and take ownership of technical delivery from concept through to production.
- Strong problem-solving skills with the ability to navigate complex technical environments.
Nice to have:
- Experience working with semantic search, vector databases, or retrieval-augmented generation (RAG) architectures.
- Exposure to large language models and AI platforms.
- Background working within large-scale enterprise or highly regulated environments.
- Degree in Computer Science, Engineering, Mathematics, or a related technical discipline.
The opportunity:
This is an excellent opportunity to work on modern cloud and AI initiatives within a collaborative engineering environment that values innovation, technical excellence, and continuous improvement. You'll have the chance to work on impactful projects at scale while contributing to the adoption of next-generation technologies.
Senior Software Engineer, Java or Python, AWS in London employer: Morgan McKinley
Morgan McKinley offers an exceptional work environment for a Terraform & AWS DevOps Engineer, providing the opportunity to collaborate with a leading UK insurance and financial services company. Employees benefit from a culture of innovation and support, with ample opportunities for professional growth and development in a dynamic, multi-vendor setting. The company's commitment to employee well-being and career advancement makes it an attractive choice for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer, Java or Python, AWS in London
✨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 Morgan McKinley 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 Morgan McKinley.
✨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 Morgan McKinley.
✨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 Morgan McKinley 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 Senior Software Engineer, Java or Python, AWS in London
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 Morgan McKinley.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Morgan McKinley 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 Morgan McKinley
✨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 Morgan McKinley 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.
