DevOps Software Engineer III

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

Job summary

JPMorgan Chase & Co. is seeking a Software Engineer III within the Branch Technologies Team in Columbus, OH. You will grow as a seasoned member of an agile team, delivering trusted technology products securely and at scale.

Responsibilities include building secure production code, designing complex architectures, and using AI-assisted tools to improve quality and speed, while ensuring compliance with security standards and CI/CD practices.

Qualifications

• 3+ years of DevOps and production SRE experience in a cloud environment.
• Hands-on system design, development, testing, and operational stability.
• Experience with AI-assisted software development tools and evaluating outputs.
• Knowledge of responsible AI use, data handling, security expectations, and resiliency.

Responsibilities

• Execute software solutions with design, development, and troubleshooting.
• Produce secure, high-quality production code and maintain algorithms.
• Create architecture/design artifacts for complex apps with design constraints.
• Analyze large data sets to drive software improvements and visualizations.
• Identify hidden data patterns to improve coding hygiene and architecture.
• Contribute to engineering communities of practice and adopt new tech.
• Leverage AI-assisted tooling to improve code quality, speed, and productivity with peer review.

Skills

DevOps

Production SRE

Cloud infrastructure

CI/CD

Secure coding

AI-assisted development

Data pattern recognition

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 JPMorganChase within the Branch Technologies 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

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
• 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.

Required qualifications, capabilities, and skills

• 3+ years of experience in doing DevOps, production SRE tasks, maintaining cloud infrastructure and ensuring environment stability
• Hands-on practical experience in system design, application development, testing, and operational stability
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
• Proficient in coding in one or more languages
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated knowledge of software applications and technical processes within a technical discipline (cloud, artificial intelligence, machine learning, etc.)

Preferred qualifications, capabilities, and skills

• Familiarity with modern DevOps, SRE & production stability maintenance practices
• Experience managing cloud infrastructures