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

• 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.

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