Lead Software Engineer

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