JPMorgan Chase is looking to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way within the Consumer and Community Banking – Deposits 2.0 Team
Requirements
- Exposure to AWS, Azure, or GCP.
- Strong technology generalist with experience building and supporting high performance and resilient applications used within a high performance/real time environment and with experience working in a team with strong software development process (build, test, deploy).
- Good knowledge of Unix/Linux commands and shell scripting.
- Experience in test automation, GIT, Jira, Confluence, Wiki.
- Experience in using Jenkins, CI/CD pipelines (e.g. GitHub Actions).
- 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
Responsibilities
- Build out and enhance non-production and production environments and help with or implement solution of test automation.
- Manage documentation, specifications, and design documents.
- Handle release management, such as integrating changes into release tickets for various applications and coordinating/communicating with stakeholders and share responsibility of support for Dev, UAT, and Production with teammates.
- Implement resiliency design and setup, including persistence replication, failover, and DR/HA architecture.
- Liaise with different teams and lead cyber security and stability initiatives.
- Work across entire software development lifecycle – requirements gathering, design, implementation, testing, deployment, handover to support teams.
- Executes standard software solutions, design, development, and technical troubleshooting
Other
- Formal training or certification on software engineering concepts and 2+ years applied experience.
- Adds to team culture of diversity, equity, inclusion, and respect
- Strong analytical development skills and solid understanding of computer science fundamentals.
- Experience across the whole Software Development Life Cycle
- Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)