JPMorgan Cloud Lead Software Engineer 

United Kingdom, Scotland 

390919413

Job responsibilities:

• Utilize hands-on experience with AWS.
• Implement and manage infrastructure using Terraform, Docker, and Kubernetes technologies.
• Apply knowledge of various database technologies such as Oracle, PostgreSQL, MySQL, Mongo, and Cassandra.
• Demonstrate proficiency in one or more modern programming languages.
• Engage in coding and enjoy building prototypes and reference implementations.
• Leverage advanced knowledge of application, data, and infrastructure architecture disciplines.
• Exhibit empathy for developers and a passion for enhancing productivity and experience for engineering teams.
• Initiate tasks independently and navigate comfortably through ambiguity.
• Collaborate within a large, matrixed organization to achieve common goals and foster an innovative culture.
• Contribute to a team culture of diversity, equity, inclusion, and respect.

qualifications, capabilities, and skills

• Formal training or certification on Java concepts and proficient advanced experience.

• Proficiency in Java (or Python) and SQL, with the ability to write efficient and scalable code for applications, data processing and analysis.

• Exposure to Data Lake or Big Data technologies, with familiarity in working with large-scale data storage solutions.

• Strong knowledge of AWS, including the ability to design, implement, and manage cloud-based solutions using services such as S3, EC2, Lambda, and Glue.

• Proficiency in Terraform for infrastructure as code to automate the provisioning and management of cloud resources.

• Experience in producing technical documentation and/or user guides, with the ability to create clear, concise, and comprehensive materials for various stakeholders.

• Hands-on practical experience in system design, application development, testing, and operational stability.

• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.

• Overall knowledge of the Software Development Life Cycle.

• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.

• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).