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 AI/ML Data Platform 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
- Architect, Build and maintain comprehensive observability systems at scale
- Partner with Customers, Product managers, and Engineering teams to develop systems and align observability objectives across the organization.
- Provide architectural guidance and establish standards for observability implementations with a strong focus on cost optimization and compliance.
- Collaborate with cross-functional teams to drive business impact and customer satisfaction through exceptional software delivery.
- Evaluate and implement modern data storage solutions (data warehouses, data lakes) to support advanced analytics and dashboards.
- Implement best practices for data transformation, real-time processing and modern data storage solutions to support advanced analytics
- Evaluate and introduce new observability tools and technologies, staying current with industry best practices
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Hands-on practical experience in backend development using Python, Java, Node.js, or Golang.
- Expertise with Cloud native observability tools, OpenTelemetry, Grafana/Prometheus/CloudWatch/Datadog etc and associated agents, collectors.
- Experience in designing and architecting large-scale distributed systems and cloud-native architecture in AWS.
- Excellent communication skills and ability to represent and present business and technical concepts to stakeholders.
- Experience with a product-oriented mindset who can see the big picture and engineer solutions centered around customer needs.
- Demonstrate a strong sense of responsibility, urgency, and determination.
Preferred qualifications, capabilities, and skills
- Familiarity with modern front-end technologies
- Familiar with Platform Software Engineer in a dynamic technology company or startup.
- Exposure to cloud technologies
- Exposure working in AI, ML, or Data engineering.
- Exposure in developing Automation frameworks/AI Ops
What the Team is Saying
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands.
Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products.
Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com.
©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
