Senior Specialist, Full-Stack Engineer in Manchester

Senior Specialist, Full-Stack Engineer in Manchester

Manchester Full-Time 67500 - 82500 £ / year (est.) No working from home possible
The Bank of New York Mellon

At a Glance

  • Tasks: Join a team to develop AI-powered financial solutions and enhance software engineering practices.
  • Company: BNY, a leading global financial services company with a culture of innovation.
  • Benefits: Competitive pay, flexible resources, generous leave, and a focus on wellbeing.
  • Other info: Dynamic environment with opportunities for career growth and continuous learning.
  • Why this job: Be at the forefront of AI technology and make a real impact in finance.
  • Qualifications: Experience in software development, eagerness to learn AI tools, and strong collaboration skills.

The predicted salary is between 67500 - 82500 £ per year.

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

We’re seeking a future team member for the role of Senior Associate, AI-Augmented Full-Stack Engineer to join our team. This role is located in Manchester. You’ll join a forward-thinking engineering organisation that is embracing Engineering 2.0 – a paradigm where AI-augmented developers leverage intelligent tooling, machine learning, and modern cloud-native architectures to deliver transformative financial technology at pace. This is an excellent opportunity for an ambitious engineer looking to grow their career at the intersection of software engineering and artificial intelligence.

The ideal candidate is eager to learn and adopt AI-powered development tools such as Windsurf, Claude Code, and Model Context Protocols (MCPs) to improve productivity and code quality. You enjoy collaborating with experienced engineers to tackle technical challenges and are keen to develop your skills across machine learning, cloud platforms, and modern data technologies.

In this role, you’ll make an impact in the following ways:

  • Embrace Engineering 2.0 practices by actively using AI-augmented development workflows in your day-to-day work, contributing to team velocity and quality improvements.
  • Use AI coding assistants (Windsurf, Claude Code) and Model Context Protocols (MCPs) to accelerate your software delivery, automate routine tasks, and maintain high engineering standards.
  • Contribute to the design and development of scalable solutions that integrate machine learning models, event streaming pipelines, and cloud-native services on Azure and AWS.
  • Support the implementation of data platforms using Snowflake, helping to build and maintain integrations with broader enterprise data ecosystems.
  • Assist in building and maintaining event streaming architectures (e.g., Kafka, Azure Event Hubs) to support high-throughput financial data flows.
  • Develop and maintain full-stack features using .NET/C#, Angular, and SQL, writing clean, well-tested, and maintainable code.
  • Participate in technical workshops and knowledge-sharing sessions, actively learning and contributing to discussions on AI-augmented development and cloud patterns.
  • Support team members through peer collaboration and pair programming, helping to foster a culture of continuous learning.
  • Work closely with senior engineers, architects, and data teams to understand and apply best practices for cloud infrastructure and data pipeline design.
  • Participate in code reviews, both giving and receiving constructive feedback to improve code quality across the team.
  • Contribute to Agile ceremonies and practices, helping to drive effective and adaptive workflows.

To be successful in this role, we’re seeking the following:

  • Enthusiasm for AI-augmented development, with exposure to or willingness to learn tools such as Windsurf, Claude Code, and Model Context Protocols (MCPs).
  • An understanding of Engineering 2.0 principles and a desire to use AI and intelligent automation to enhance how software is designed, built, and deployed.
  • Familiarity with machine learning concepts and an interest in integrating ML capabilities into applications and data pipelines.
  • Exposure to or willingness to learn Snowflake for data warehousing and analytics.
  • Awareness of event streaming concepts and technologies such as Apache Kafka, Azure Event Hubs, or AWS Kinesis.
  • Familiarity with Azure and/or AWS cloud services, with a willingness to deepen your cloud skills across compute, storage, and serverless offerings.
  • Working experience with .NET/C#, Angular, and SQL for building applications and data access layers.
  • Good understanding of design patterns, SOLID principles, and object-oriented programming.
  • Experience or exposure to Agile delivery practices (ideally Scrum).
  • Knowledge of TDD, Continuous Integration, and automation practices.
  • Experience with CI/CD pipelines and version control (e.g., Git).
  • Ability to analyse designs and code and contribute constructive feedback.
  • Strong communication skills, with the ability to collaborate effectively with both technical and non-technical stakeholders.

At BNY, our culture speaks for itself. BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

Senior Specialist, Full-Stack Engineer in Manchester employer: The Bank of New York Mellon

At BNY, we pride ourselves on fostering a culture of innovation and collaboration, making it an exceptional place for ambitious engineers to thrive. Located in Manchester, our forward-thinking engineering organisation embraces cutting-edge AI technologies, offering employees unparalleled growth opportunities and a supportive environment that prioritises continuous learning and development. With competitive compensation, generous benefits, and a commitment to work-life balance, BNY is dedicated to empowering its team members to make a meaningful impact in the financial services industry.

The Bank of New York Mellon

Contact Details:

The Bank of New York Mellon Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Specialist, Full-Stack Engineer in Manchester

Join Local Tech Meetups

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Contribute to Open Source Projects

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Tap into Online Developer Communities

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Explore Job Boards Specifically for Tech Roles

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We think you need these skills to ace Senior Specialist, Full-Stack Engineer in Manchester

AI-Augmented Development
Windsurf
Claude Code
Model Context Protocols (MCPs)
Machine Learning
Cloud-Native Architectures
Azure

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 The Bank of New York Mellon.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at The Bank of New York Mellon 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 The Bank of New York Mellon

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 The Bank of New York Mellon 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.