Lead Software Engineer - Cloud AI / ML

JPMorgan Chase & Co.; Bournemouth; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading financial institution in Bournemouth is seeking a Lead Software Engineer to design and implement cloud-based applications. In this role, you will collaborate with teams to ensure solutions meet business objectives while optimizing for performance and security. The ideal candidate must have extensive experience in cloud development, proficiency in programming languages like Java or Python, and a strong understanding of cloud security practices. This position offers opportunities to drive innovation in a dynamic environment.

Qualifications

• Extensive experience in cloud development and software engineering.
• Proficiency in major programming languages like Java and Python.
• Strong understanding of cloud security best practices.

Responsibilities

• Design and implement cloud-based applications and services.
• Optimize applications for performance and security.
• Collaborate with engineers to align design solutions with business goals.

Skills

Cloud development

Java

Python

RESTful APIs

Cloud security best practices

Monitoring tools

Infrastructure as code

Education

Formal training in software engineering

Tools

AWS

Azure

Docker

Terraform

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Bank's Post Trade Tech Team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job 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.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and proficient advanced experience.
• Highly experienced in cloud development, with a focus on application design and development.
• Proficiency in programming languages such as Java, Python, or other major languages.
• 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 AI / ML model integration, prompt engineering, or LLM APIs (OpenAI, Bedrock).
• 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.

Preferred qualifications, capabilities, and skills

• Experience in automation in any scripting languages such as python / groovy etc.
• 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 out loosely coupled software and familiarity with SOA / Microservice architectures