Software Engineer III - AIML Observability Platform

JPMorgan Chase & Co.

Education
Benefits
Qualifications
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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 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
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Confirmed 21 hours ago. Posted a day ago.

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