At a Glance
- Tasks: Lead the design and development of innovative cloud platforms for data-driven decision making.
- Company: Join J.P. Morgan, a global leader in financial services with a focus on innovation.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Other info: Dynamic team culture that values diversity, inclusion, and continuous learning.
- Why this job: Make a real impact by shaping the future of technology and driving business success.
- Qualifications: Experience in software engineering, cloud platforms, and programming in Python or Go.
The predicted salary is between 80000 - 100000 £ per year.
Are you ready to shape the future of technology at a global financial leader? Join us and make a real impact by building advanced cloud platforms that power data-driven decision making. At JPMorganChase, you'll collaborate with top talent, leverage cutting-edge tools, and help deliver solutions that transform how we work. This is your chance to push boundaries, grow your expertise, and be part of a team that values innovation and continuous learning. Discover a career adventure where your ideas matter and your skills drive change.
As a Senior Lead Software Engineer, Cloud Platform in the Corporate AI and Machine Learning Data Platforms team, you will design and deliver secure, high-quality technology solutions that support our data and analytics strategy. You will develop cloud-based products, enhance productivity, and enable responsible innovation across the firm. You'll collaborate with others to harness the power of artificial intelligence and machine learning, creating new opportunities and driving business success. You will have the chance to lead, grow, and make a difference in a dynamic, inclusive environment.
Job Responsibilities:
- Provide technical leadership and guidance to the cloud engineering team.
- Lead the design and development of secure, scalable, and reliable cloud infrastructure and platform tools.
- Drive adoption of modern Developer Experience (DevEx) practices and evolve CI/CD and developer tooling.
- Align platform strategy and roadmaps with business priorities and lead cross-functional modernization initiatives.
- Evaluate, integrate, and govern strategic tooling to improve developer experience.
- Collaborate with development teams to identify and eliminate platform bottlenecks.
- Define and promote paved paths and self-service workflows for developers.
- Implement real-time telemetry pipelines and workflows for platform observability and analytics.
- Champion adoption of productivity tools through documentation, training, and engagement with the developer community.
- Standardize use of AI-assisted coding tools and AI-powered development ecosystems.
- Contribute to the design and development of AI agents and Model Context Protocol (MCP) integrations using frameworks such as Google ADK and Anthropic SDKs.
Required Qualifications, Capabilities, and Skills:
- Formal training or certification on software engineering concepts.
- Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP).
- Advanced knowledge of containerization and orchestration platforms (Docker, Kubernetes, ECS, etc.).
- Expertise in Developer Experience (DevEx) and CI/CD tools (Jenkins, Spinnaker, Bitbucket, GitHub, etc.).
- Strong knowledge of cloud security best practices, shift-left methodologies, and DevSecOps processes.
- Programming skills in Golang or Python, with understanding of software development best practices.
- Proficiency with cloud infrastructure provisioning tools (Terraform, KRO, Crossplane, etc.).
- Experience with logging and monitoring tools (Splunk, Grafana, Datadog, Prometheus, etc.).
- Deep understanding of cloud infrastructure design, architecture, and migration strategies.
- Proficiency with AI-assisted coding workflows, including LLM-powered development tools, spec-driven development, and prompt engineering.
Preferred Qualifications, Capabilities, and Skills:
- Master's degree in a related field and certifications in Cloud, Kubernetes, or infrastructure-as-code technologies.
- Experience implementing multi-cloud architectures and leading end-to-end platform development.
- Background in designing and developing scalable AI/ML or Data platforms.
- Experience with automation and workflow orchestration for operational efficiency.
- Published contributions to open-source or industry-recognized projects.
- Hands-on experience building AI agents and MCP servers/integrations at scale using frameworks such as Google ADK, Anthropic SDKs, and agent orchestration tooling.
- Experience enhancing AI-powered coding ecosystems with enterprise-specific tooling to improve developer productivity and platform engineering workflows.
About Us: J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company.
We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
About The Team: Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Senior Lead Software Engineer - Python / Go in Glasgow employer: J.P. Morgan
At JPMorgan Chase, we pride ourselves on being an exceptional employer, offering a dynamic and inclusive work environment where innovation thrives. As a Senior Lead Software Engineer, you'll have access to cutting-edge technology and the opportunity to collaborate with top talent, all while benefiting from our commitment to employee growth through continuous learning and development programmes. Join us in shaping the future of technology within a global financial leader that values your ideas and empowers you to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Lead Software Engineer - Python / Go in Glasgow
✨Tip Number 1
Network like a pro! Reach out to current employees at JPMorganChase on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Make sure you can confidently discuss your experience with Python, Go, and cloud platforms. Practice coding challenges to show off your problem-solving skills!
✨Tip Number 3
Showcase your passion for innovation! During interviews, share examples of how you've used AI or machine learning in past projects. This will highlight your alignment with the company's focus on cutting-edge technology.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the team at JPMorganChase.
We think you need these skills to ace Senior Lead Software Engineer - Python / Go in Glasgow
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Lead Software Engineer role. Highlight your experience with cloud platforms, Python or Go, and any relevant projects that showcase your skills. We want to see how you can make an impact!
Showcase Your Leadership Skills:Since this is a senior position, it's crucial to demonstrate your technical leadership experience. Share examples of how you've guided teams in the past, especially in cloud engineering or DevEx practices. We love seeing candidates who can inspire and lead others!
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points where possible to make your achievements stand out. We appreciate straightforward communication, so make it easy for us to see why you're the right fit!
Apply Through Our Website:Don't forget to submit your application through our official website! This ensures that your application gets to the right people quickly. Plus, it shows us that you're serious about joining our team at StudySmarter.
How to prepare for a job interview at J.P. Morgan
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of cloud platforms, especially AWS, Azure, or GCP. Be ready to discuss your hands-on experience with containerization tools like Docker and Kubernetes, as well as your familiarity with CI/CD practices. This is your chance to showcase your technical expertise!
✨Showcase Your Leadership Skills
As a Senior Lead Software Engineer, you'll need to demonstrate your ability to lead and guide teams. Prepare examples of how you've provided technical leadership in the past, particularly in driving modern Developer Experience practices or leading cross-functional initiatives. Highlight your collaborative spirit!
✨Be Ready for Problem-Solving Questions
Expect to face questions that assess your problem-solving skills, especially around platform bottlenecks and cloud infrastructure design. Think of specific challenges you've encountered and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Emphasise Continuous Learning
JPMorganChase values innovation and continuous learning, so be prepared to discuss how you stay updated with the latest technologies and trends in AI, machine learning, and cloud engineering. Share any relevant certifications or projects that demonstrate your commitment to professional growth.
