There’s nothing more exciting than being at the center of a rapidly growing field in technology and applying your skillsets to drive innovation and modernize the world's most complex and mission-critical systems.

As a Software Engineer III at JPMorgan Chase within the Corporate Technology , 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

Develop automation scripts and tools using Python, Bash, or other scripting languages. Streamline operational tasks through automation to reduce manual intervention. Set up and manage monitoring tools like Dynatrace, Splunk, Prometheus, and Grafana. Create alerting mechanisms to identify issues before they affect performance. Participate in incident management, troubleshooting, and root cause analysis. Conduct post-incident reviews to identify improvements and prevent recurrences. Optimize systems for performance, latency, and capacity management. Monitor and maintain databases for data integrity and availability. Collaborate with the AD team on database performance tuning and scaling. Architect, deploy, and manage AWS services (EC2, S3, Lambda, RDS) for scalable infrastructure. Implement and manage CI/CD pipelines using Jenkins, GitLab, or similar tools, and support Docker and Kubernetes environments for automated deployment and scaling

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 3+ years applied experience Proficiency in Python, Bash, or other relevant scripting languages. Experience with relational and NoSQL databases. Familiarity with monitoring and observability tools like Dynatrace, Splunk, Prometheus, Grafana, CloudWatch, and AppDynamics. Strong debugging experience in Core Java, Spring Boot, Spring modules, Oracle, or PostgreSQL. Experience with messaging and integration frameworks such as Kafka. Proficiency with AWS or other cloud platforms (GCP, Azure), including services like EC2, S3, EKS, Lambda, SQS, and RDS. Familiarity with CI/CD pipelines using tools like Jenkins, Jules, GitHub, and Spinnaker. Strong problem-solving skills with the ability to troubleshoot complex systems.

Preferred qualifications, capabilities, and skills

Ability to code in at least one programming language, Java , Python  etc