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 JPMorgan Chase within the Corporate and Investment Bank, 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 will drive next-gen implementation of our Macro KDB platform, bringing together best capabilities of on-prem and cloud-based KDB engineering solutions. Additionally, you will assist in building and supporting multi-region AWS services, from Kubernetes to ML, empowering KDB technology driven eTrading analytics.
Job responsibilities
1. Automate provisioning of AWS network, compute and storage services that host Macro KDB platform
2. Enforce SRE driven approach to monitor performance, capacity and cost of Macro KDB platform, across routine and volatile market events
3. Integrate Macro KDB API and services with other AWS natively run apps
4. Be an integral part of Macro KDB global team of software engineers
5. Execute AWS based software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
6. Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
7. Proactively identify hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
8. Contributes to software engineering communities of practice and events that explore emerging technologies
Required qualifications, capabilities, and skills
9. Formal training or certification on AWS technical and software engineering concepts
10. Expert in automated delivery of AWS core infrastructure as code using Terraform
11. Hands-on practical experience in configuring AWS core compute and storage services (EKS clusters, EC2, FSx, S3)
12. Development experience in Python
13. Passionate to work with large amounts of time series data
14. Hands-on practical experience in SRE of cloud-based production system
15. Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Preferred qualifications, capabilities, and skills
16. Experience with KDB Insights Microservices
17. Expertise in KDB+ technology and Q language
18. Experience with SageMaker