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Lead software engineer - cloud ai / ml

Bournemouth
Permanent
JPMorgan Chase & Co.
Lead software engineer
€90,000 a year
Posted: 12 January
Offer 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
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