Lead Software Engineer: AI-Driven Cloud & Security

Aumni; Columbus (OH); On-site; USD 150,000 - 190,000; Full time

Job summary

JPMorganChase is seeking a Lead Software Engineer within the Cybersecurity and Technology Controls team in the United States. You will contribute as a core technical member of an agile team to build trusted technology products with a secure, scalable architecture.

The role blends software development, DevOps, and cloud engineering, requiring rapid learning and automation to support enterprise-grade solutions across multiple business functions.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Advanced in one or more programming language(s): Java, Python, or Go.
• Proficient in all aspects of the Software Development Life Cycle.
• Practical cloud native experience.
• Expertise with AWS infrastructure such as networking, EC2, Lambda, serverless solutions, VPC, Route 53, auto scaling, Transit Gateway, API Gateway, Step Functions, Secrets Manager, storage services, and containers (EKS, ECS, Fargate).
• Proficient in core concepts for networking, public cloud architecture, and Infrastructure as Code (IaC), with hands-on Terraform experience.
• Expertise in designing and developing complex cloud architectures, deploying scalable solutions, and applying DevOps practices, including creating and managing CI/CD pipelines, application resiliency, and triaging issues.
• Testing proficiency from unit to end-to-end, with tools such as Cucumber (functional testing), JUnit 5 or pytest (unit testing), JMeter (performance testing), and Gremlin (resiliency testing).
• Experience with SQL and NoSQL databases
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.

Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leverages DevOps tools to build, deploy, and operate a cloud-based orchestration platform, infrastructure as code, and automated compliance capabilities, keeping delivery automated and elastic
• Leads the design and development of new cloud implementations, with strategies for end-to-end automation, architecture design, performance and monitoring, proofs of concept, and transition to operations
• Creates automated functional, performance, resiliency, and end-to-end tests and makes them required quality gates in the pipeline
• Regularly provides technical guidance and direction to the business and its technical teams, mentors engineers, and leads communities of practice across Software Engineering
• Learns new technologies and services quickly as the platform evolves, and delivers production-ready work on them with minimal ramp-up
• Builds the tooling that lets an environment owner diagnose why their environment is unhealthy in production and fix it themselves

Skills

Java

Python

Go

CI/CD

Cloud native

DevOps

AI-assisted tools

Security best practices

Tools

AWS

Terraform

Kubernetes

EKS

ECS

Fargate

JMeter

JUnit

pytest

Cucumber

Gremlin

GitHub Copilot

Job description

JPMorganChase is seeking a Lead Software Engineer within the Cybersecurity and Technology Controls team in the United States. You will contribute as a core technical member of an agile team to build trusted technology products with a secure, scalable architecture.

The role blends software development, DevOps, and cloud engineering, requiring rapid learning and automation to support enterprise-grade solutions across multiple business functions.