About the role
Lead Software Engineer
Chicago, IL, United States
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Job Information
Job Identification
210792503
Job Category
Software Engineering
Business Unit
Corporate Sector
Posting Date
09/25/2026, 02:23 PM
Locations
10 S Dearborn St, Chicago, IL, 60603, US
Job Schedule
Full time
Base Pay/Salary
Chicago,IL $137,750.00-$185,000.00
Job Description
As a Software Engineer – Software Reliability in our product team, you will design and develop scalable, resilient systems using Python. You will apply SRE principles, drive operational excellence, and ensure our applications meet the highest standards of reliability and security. You’ll work closely with peers to troubleshoot, optimize, and maintain production code, while fostering a collaborative and inclusive environment. Your expertise will help us advance our software engineering practices and deliver impactful solutions.
Job Responsibilities
Design and develop scalable and resilient systems using Python to support continuous improvement
Apply Site Reliability Engineering (SRE) concepts to enhance system reliability and performance
Execute software solutions, including design, development, and technical troubleshooting
Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems
Produce or contribute to architecture and design artifacts, ensuring design constraints are met
Gather, analyze, and synthesize data to develop visualizations and reporting for software and system improvement
Identify hidden problems and patterns in data to drive improvements in coding hygiene and system architecture
Implement reliability engineering practices such as monitoring, alerting, and automated recovery
Define and measure Service Level Indicators (SLIs) and Service Level Objectives (SLOs) to track system health
Conduct chaos engineering experiments to test system resiliency and identify weaknesses
Perform performance testing using tools such as JMeter to ensure scalability and stability
Collaborate with product teams to enhance system reliability, scalability, and performance
Contribute to software engineering communities of practice and events exploring new and emerging technologies
Foster a team culture of diversity, opportunity, inclusion, and respect
Participate in post-incident reviews and drive root cause analysis for system failures
Required qualifications, capabilities, and skills
Hands-on practical experience in system design, application development, testing, and operational stability
Proficient in coding in Python
Experience developing, debugging, and maintaining code in a large corporate environment with modern programming languages and database querying languages
Knowledge of the Software Development Life Cycle, AWS cloud exposure, troubleshooting abilities, resiliency, and automation focus
Understanding of agile methodologies such as CI/CD, application resiliency, and security
Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Experience with AI and full understanding of the SDLC process, and MongoDB
Familiarity with reliability engineering concepts, including monitoring, alerting, and automated recovery
Ability to implement and maintain system health checks and performance metrics
Experience with incident response and root cause analysis
Commitment to writing maintainable, testable, and high-quality code
Understanding of SRE principles, including SLIs, SLOs, and error budgets
Experience with chaos engineering practices to test system resiliency
Proficiency in performance testing tools such as JMeter
Preferred qualifications, capabilities, and skills
Familiarity with modern front-end technologies
Exposure to cloud technologies
Minimum requirements
- Proficient in Python with hands-on experience in system design, development, testing, and operational stability
- Knowledge of SDLC, AWS cloud, agile methodologies, SRE principles, monitoring, alerting, and automated recovery
- Experience with incident response, root cause analysis, chaos engineering, and performance testing tools like JMeter
This listing was parsed by AI and may not be complete. Check the official posting on JPMorganChase's site for the most accurate information.