We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Software Engineer III at JPMorganChase within the Consumer & Community Banking – Risk team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

 

Design and develop innovative software solutions, applying creative problem-solving skills to address complex technical challenges.Provide comprehensive production support, including batch job management, incident troubleshooting, and resolution of data delivery issues to ensure system reliability.Lead automation efforts for monitoring, reporting, and operational tasks to enhance system health, efficiency, and resiliency.Utilize key monitoring tools and drive process improvements to maximize system stability and performance.Gather, analyze, and synthesize large, diverse data sets to develop visualizations and reporting that support continuous improvement of applications and systems.Proactively identify hidden issues and patterns in data, using insights to improve coding hygiene and system architecture.Collaborate with QA and Application Development teams to define and implement quality metrics for data processing, ingestion, API validation, cloud migration, and throughput testing.Oversee release management and software development lifecycle activities, with hands-on experience in Jules and Jenkins pipeline deployments.
 

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 3+ years applied experienceProven software engineering experience with a focus on automation, monitoring, and incident managementProficient in Python, SQL, Databricks, AWS – Proficiency in Python and AWS hands-on knowledge (CLI, API, etc.,) is mandatory for consideration. AWS certified and strong knowledge of AWS Components and Databricks knowledge Skilled in job scheduling tools such as Autosys and AirflowWell versed in AWS lambda, Step functions and Developing Rest APIs using API GatewayExperienced in performance monitoring and capacity management using Grafana, Splunk, and DynatraceStrong communication, collaboration, and problem-solving skillsWilling to participate in support rotations, including weekends

 

Preferred qualifications, capabilities, and skills

Knowledge of Databricks will be an added plus