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

JPMorganChase

Bournemouth

On-site

GBP 80,000 - 120,000

Full time

14 days+

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Job summary

JPMorganChase is seeking an experienced software engineer to design, develop, and deploy cloud-based applications. You will collaborate with architects to ensure solutions meet business goals while optimizing performance, security, and scalability.

The role involves integrating AI/ML models, working with AWS/Azure/GCP, and leading engineering communities to promote cutting-edge technologies. Strong focus on DevOps, CI/CD and robust monitoring practices.

Qualifications

  • Formal training or certification in software engineering.
  • Experience in cloud development (AWS) focused on design and development.
  • Experience with AI/ML model integration and generative AI.
  • Proficient in Java, Python or Node.js.
  • Strong experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience building RESTful APIs and serverless/event-driven architectures.
  • Experience with Git, CI/CD pipelines, automated testing and DevOps practices.
  • Experience with monitoring and logging tools such as CloudWatch, Dynatrace, Datadog, Prometheus or ELK.
  • Strong understanding of cloud security best practices.
  • Experience with data warehousing solutions like Snowflake/Iceberg and relational DBs like RDS/ Oracle.
  • Experience with Infrastructure as Code (IaC) such as Terraform.
  • Familiarity with Spring, Spring Boot, Spring Integration, JMS/JDBC/Hibernate.

Responsibilities

  • Design, develop, and implement cloud-based applications and services.
  • Collaborate with architects and engineers to align solutions with business goals.
  • Optimize applications for performance, scalability, and security.
  • Identify opportunities to automate remediation for operational stability.
  • Participate in code reviews and provide constructive feedback.
  • Stay updated with cloud/AI trends to drive innovation and improvement.
  • Lead communities of practice across Software Engineering to promote new technologies.

Skills

AWS Cloud Development
Java
Python
Node.js
RESTful APIs
DevOps
Git
CI/CD

Education

Formal training or certification in software engineering

Tools

Terraform
Docker
Kubernetes
CloudWatch
Dynatrace
Datadog
ELK stack

Job description

Job Description
  • 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 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 such as CloudWatch, Dynatrace, Datadog, Prometheus, Grafana, or ELK stack.
  • Strong understanding of cloud security best practices.
  • Proficiency in data warehousing solutions such as 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 – Flyway, Spring, Spring Boot, Spring Integration, JMS, JDBC, Hibernate/JPA, etc.
Preferred Qualifications, Capabilities, And Skills
  • Experience in automation in any 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.
Equal Opportunity Employer Statement

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.

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