Lead Software Engineer - Cloud/Java-Python/AI-ML

Salary: £62,000 - 102,000 per year

Requirements:

• Formal training or certification on software engineering concepts and applied experience
• Experience in cloud development (AWS), with a focus on application design and development
• Experience with AI/ML model integration, prompt engineering, LLM APIs (OpenAI, Bedrock), and generative AI
• Proficiency in programming languages such as Java, Python, or Node.js
• Strong experience with cloud platforms like AWS, Azure, or Google Cloud Platform
• Experience building RESTful APIs and working with event-driven or serverless architectures
• Experience with Git, CI/CD pipelines, automated testing frameworks, and DevOps practices
• Experience with monitoring and logging tools like CloudWatch, Dynatrace, Datadog, Prometheus, Grafana, or ELK stack
• Strong understanding of cloud security best practices
• Proficiency in data warehousing solutions like Snowflake and Iceberg and relational databases such as RDS or Oracle
• Experience in infrastructure as code (IAC) such as Terraform or equivalent
• Experience working with related technical frameworks such as Flyway, Spring, Spring Boot, Spring Integration, JMS, JDBC, and Hibernate/JPA
• Experience in automation in scripting languages such as Python or Groovy
• Relevant certifications such as AWS Certified Developer, Microsoft Certified: Azure Developer, or Google Professional Cloud Developer
• Familiarity with database technologies such as SQL, NoSQL, and cloud-native databases
• Familiarity with containerization technologies such as Docker and Kubernetes
• Experience with building loosely coupled software and familiarity with SOA/microservice architectures

Responsibilities:

• Design, develop, and implement cloud-based applications and services
• Collaborate with architects and engineers to ensure design solutions are aligned with business goals
• Optimize applications for performance, scalability, and security
• Identify opportunities to eliminate or automate the remediation of recurring issues to enhance the overall operational stability of software applications and systems
• Participate in code reviews and provide constructive feedback to peers
• Stay up to date with emerging cloud and AI/ML technologies and industry trends to drive innovation and continuous improvement
• Lead communities of practice across Software Engineering to promote awareness and adoption of new and leading-edge technologies

Technologies:

• AI
• AWS
• Azure
• CI/CD
• Cloud
• CloudWatch
• Datadog
• DevOps
• Docker
• Dynatrace
• ELK
• Flyway
• Git
• Grafana
• Groovy
• Hibernate
• JPA
• Java
• Kubernetes
• LLM
• NoSQL
• Oracle
• Prometheus
• Python
• SQL
• Security
• Serverless
• Snowflake
• Spring
• Spring Boot
• Terraform
• NodeJS

More:

We are J.P. Morgan, a global leader in financial services providing strategic advice and products to some of the worlds 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, and we strive to build trusted, long-term partnerships that help our clients achieve their business objectives. We value the diverse talents our people bring to our global workforce and are committed to diversity and inclusion, equal opportunity, and reasonable accommodations where needed. This full-time role sits within our Commercial & Investment Bank, a global leader across banking, markets, securities services, and payments, serving corporations, governments, and institutions in more than 100 countries.

last updated 40 week of 2026