Lead Software Engineer – Software Reliability

JPMorgan Chase & Co.; Glasgow; On-site; GBP 90,000 - 130,000; Full time

Job summary

JPMorgan Chase & Co. in the United Kingdom seeks a Lead Software Engineer – Software Reliability to design, build, and operate scalable, resilient systems using Python and modern reliability practices.

You will apply SRE principles to improve availability, performance, and security while setting engineering standards across the product team. You will collaborate with engineering and product partners to troubleshoot, optimize, and maintain production services, drive incident reviews and RCA, and

Qualifications

• Hands-on experience in system design and production software engineering.
• Experience in large corporate environments with modern programming languages.
• Knowledge of the SDLC, AWS, troubleshooting, resiliency, and automation.
• Understanding of CI/CD, application resiliency, and security.
• Knowledge of software applications and technical processes within a technical discipline (cloud, AI/ML).
• Experience with chaos engineering and incident analysis.

Responsibilities

• Design and develop scalable and resilient systems using Python to support continuous improvement and apply SRE concepts to enhance system reliability and performance.
• Execute software solutions, including design, development, and troubleshooting and 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 and contribute to software engineering communities of practice and events exploring new and emerging technologies.
• Foster a team culture of diversity, opportunity, inclusion, and respect and participate in post-incident reviews and drive root cause analysis for system failures.

Skills

Python

SRE principles

Monitoring

Alerting

Automated recovery

Incident response

Root cause analysis

CI/CD

Cloud AWS

Performance testing

Tools

JMeter

MongoDB

AWS

Job description

As a Lead Software Engineer – Software Reliability at JPMorgan Chase as a part of our product team, you will design, build, and operate scalable, resilient systems using Python and modern reliability practices. You will apply Site Reliability Engineering (SRE) principles to improve availability, performance, and operational excellence, and you will help establish engineering standards that increase system reliability and security. You will collaborate with engineering and product partners to troubleshoot, optimize, and maintain production services while fostering a collaborative and inclusive team culture.

Job Responsibilities

• Design and develop scalable and resilient systems using Python to support continuous improvement and apply Site Reliability Engineering (SRE) concepts to enhance system reliability and performance
• Execute software solutions, including design, development, and technical troubleshooting and 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 and contribute to software engineering communities of practice and events exploring new and emerging technologies
• Foster a team culture of diversity, opportunity, inclusion, and respect and 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 and 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 and ability to implement and maintain system health checks and performance metrics
• Commitment to writing maintainable, testable, and high-quality code
• Understanding of SRE principles, including SLIs, SLOs, and error budgets and experience with incident response and root cause analysis
• Experience with chaos engineering practices to test system resiliency and proficiency in performance testing tools such as JMeter

Preferred qualifications, capabilities, and skills

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