Lead Software Engineer - Public Cloud & AI

JPMorgan Chase; Columbus (OH); On-site; USD 110,000 - 150,000; Full time

Job summary

JPMorgan Chase is seeking a Public Cloud Platform Engineer within Global Technology to guide application teams toward public cloud adoption, maintain platforms, and resolve production incidents affecting customers and businesses globally.

You will work with AWS services, Docker/Kubernetes containers, and a suite of DevOps tools to ensure resilient, scalable systems. This role emphasizes automation, IaC, and cross-functional collaboration in a security-conscious environment.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Experience building or supporting web environments on AWS using EC2, ELB, RDS, S3.
• Experience with DevOps tools in a cloud environment (Ansible, Docker, GitHub, Jenkins, Kubernetes, Maven).
• Experience with Infrastructure-as-Code (IaC) using CloudFormation or Terraform.
• Experience with one or more public cloud platforms like AWS, GCP, Azure.

Responsibilities

• Drive, support, and deliver on a strategy to operate and broaden use of AWS services.
• Identify opportunities to improve resiliency, availability, and performance in Public Cloud platforms.
• Improve reliability and reduce incident resolution times for production applications.
• Measure and optimize system performance and push capabilities forward.
• Provide primary operational support and engineering for the public cloud platform.
• Debug and automate routine tasks and collaborate across teams to mitigate production risks.

Skills

AWS experience

DevOps practices

SRE mindset

Programming languages

Monitoring tools

Tools

Docker

Kubernetes

Jenkins

GitHub

Ansible

Artifactory

Terraform

CloudFormation

Prometheus

Datadog

CloudWatch

Maven

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.