Lead Software Engineer - Public Cloud & AI

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

Job Description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Public Cloud Platform Engineer at JPMorgan Chase within the Global Technology team, you will be guiding application teams on moving to public cloud, support with maintaining, and support resolving production incidents that impact our customers, clients, and businesses around the globe.

Job responsibilities 

• Drive, support, and deliver on a strategy to operate on a build broad use of Amazon's utility computing web services (e.g., AWS EC2, AWS S3, AWS RDS, AWS CloudFront, AWS EFS, CloudWatch, EKS)
• Identify opportunities to improve resiliency, availability, secure, high performing platforms in Public Cloud using JPMC best practices
• Improve reliability, quality, and reduce time to resolve issues in production incidents on software applications 
• Measure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating to continually improve
• Provide primary operational support and engineering for the public cloud platform
• Debug and optimize systems and automate routine tasks.
• Collaborate with a cross-functional team to identify potential risks in production and opportunities to improve user experiences at every interaction.
• Drive work streams to ensure Applications meet strict non-functional requirements for Public Cloud On-boarding 
• Evaluate production readiness through game days, resiliency tests and chaos engineering exercises.
• Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services 
• Monitor metrics and program health, anticipate and clear blockers, manage escalations

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• A deep understanding of business technology drivers and their impact on architecture design, performance and monitoring, best practices
• Experience/knowledge building or supporting web environments on AWS, which includes working with services like EC2, ELB, RDS, and S3
• Experience using DevOps tools in a cloud environment, such as Ansible, Artifactory, Docker, GitHub, Jenkins, Kubernetes, Maven etc.
• Experience across the SDLC process – Design and/or Development and/or support 
• Experience/Knowledge using monitoring solutions like CloudWatch, Prometheus, Datadog
• Experience/Knowledge of writing Infrastructure-as-Code (IaC), using tools like CloudFormation or Terraform
• Experience with one or more public cloud platforms like AWS, GCP, Azure 
• Experience with automation of Infrastructure tasks using Python or other languages
• Knowledge in leveraging AI/LLM tools to enable self-service on diagnosing infrastructure errors/failures

Preferred qualifications, capabilities, and skills

• A proactive approach to spotting problems, areas for improvement, and performance bottlenecks
• SRE mindset Culture/Approaches: To run better production systems by creating engineering solutions to operational problems.