JP Morgan Chase

Runs a consumer bank and an investment bank

Lead Software Engineer

Backend EngineeringConfirmed live in the last 24 hours

Full-timeChicago, IL, USA$137.8k - $185kIn-person

About the Job

Requirements

Hands-on practical experience in system design, application development, testing, and operational stability.
Proficiency 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.
Understanding of agile methodologies such as continuous integration and continuous delivery, application resiliency, and security.
Knowledge of software applications and technical processes within a technical discipline, such as cloud, artificial intelligence, machine learning, or mobile.
Experience with artificial intelligence and full understanding of the Software Development Life Cycle 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 Site Reliability Engineering principles, including Service Level Indicators, Service Level Objectives, and error budgets.
Experience with chaos engineering practices to test system resiliency.
Proficiency in performance testing tools such as JMeter.

Responsibilities

Design and develop scalable and resilient systems using Python to support continuous improvement.
Apply Site Reliability Engineering 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 and Service Level Objectives 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.

Desired Qualifications

Familiarity with modern front-end technologies.
Exposure to cloud technologies.

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

Base Pay/Salary: Chicago,IL $137,750.00-$185,000.00

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1799

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