Technology Support II Python AWS

Propel operational success with your expertise in technology support and a commitment to continuous improvement.

As a Technology Support II team member within JPMorgan Chase, you will play a vital role in ensuring the operational stability, availability, and performance of our production application flows. You will be responsible for troubleshooting, maintaining, identifying, escalating, and resolving production service interruptions for all internally and externally developed systems, thereby supporting a seamless user experience and fostering a culture of continuous improvement.

Job Responsibilities

• Analyze and troubleshoot production application flows to ensure end-to-end application or infrastructure service delivery supporting the business operations of the firm
• Improve operational stability and availability through participation in problem management
• Monitor production environments for anomalies and address issues utilizing standard observability tools
• Assist in the escalation and communication of issues and solutions to the business and technology stakeholders
• Identify trends and assist in the management of incidents, problems, and changes in support of full stack technology systems, applications, or infrastructure
• May require the role to provide on-call coverage during weekends

• Possess 2+ years of experience, ideally working with Data/Python applications in Production environment.
• Experience in programming or scripting language (Python).
• Experience working with containers and container orchestration (Kubernetes)
• Experience working with orchestration tools (Control-M)
• Experience with cloud platforms (AWS), ideally provisioning infrastructure using Terraform.
• Exposure to observability and monitoring tools and techniques
• Good communication and collaboration skills, with the ability to work effectively in a fast-paced, dynamic environment.

• Significant advantage to have experience supporting applications on platforms such as Databricks, Snowflake or AWS EMR (Databricks preferred).
• Actively self-educates, evaluate new technology, and recommend suitable ones.
• Knowledge of virtualization, cloud architecture, services and automated deployments.