JPMorgan Software Engineer III 

United States, New Jersey, Jersey City 

353175837

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Collaborates with a global set of stakeholders and developers to understand Platform Infrastructure requirements and then implement them.
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Develops collaborative relationships with local and remote Application Development Teams and a Global Platform Engineering Organization.
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience

• Hands-on practical experience in system design, application development, testing, and operational stability within a globally distributed team.
• Proficient in coding in one or more language(s) including Python, GoLang, Terraform HCL
• 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 including appropriate CI/CD Tooling Strategies.
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Experience of “Infrastructure as Code” Providers e.g. Terraform, and their usage to provision infrastructure across different Operating Environments e.g. On Premise and Cloud.
• Experience operating Kubernetes Clusters through the development, testing and production lifecycles including the investigation of Software Deployment Problems within the cluster.
• Experience optimizing for cost in public cloud solutions, designing systems that provide insights to drive a cost optimized architecture.

Preferred qualifications, capabilities, and skills

• Developing Automated Solutions using Python
• Experience running infrastructure on AWS Cloud.
• Experience in Cost Optimization on AWS.