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Client: Location: Null, Ireland
Job Category: Other
EU work permit required: Yes
Job Reference: 5e302f05f5fd
Job Views: 178
Posted: 03.03.2025
Expiry Date: 17.04.2025
Job Description: 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: Automate provisioning of AWS network, compute and storage services that host Macro KDB platform.
Enforce SRE driven approach to monitor performance, capacity and cost of Macro KDB platform, across routine and volatile market events.
Integrate Macro KDB API and services with other AWS natively run apps.
Be an integral part of Macro KDB global team of software engineers.
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.
Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.
Proactively identify hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture.
Contribute to software engineering communities of practice and events that explore emerging technologies.
Required qualifications, capabilities, and skills: Formal training or certification on AWS technical and software engineering concepts.
Expert in automated delivery of AWS core infrastructure as code using Terraform.
Hands-on practical experience in configuring AWS core compute and storage services (EKS clusters, EC2, FSx, S3).
Development experience in Python.
Passionate to work with large amounts of time series data.
Hands-on practical experience in SRE of cloud-based production system.
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
Preferred qualifications, capabilities, and skills: Experience with KDB Insights Microservices.
Expertise in KDB+ technology and Q language.
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