Lead Software Engineer - Python/Java Developer

Take on a crucial role where you'll be a key part of a high-performing team delivering secure software solutions. As a Lead Software Engineer at JPMorganChase within the Cybersecurity & Technology Controls team in Corporate Technology, you will be an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you will be responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job Responsibilities: Execute software solutions, design, development, and advanced technical troubleshooting, thinking beyond conventional approaches to solve complex problems. Develop secure, high-quality production code, review and debug code, and automate remediation of recurring issues to improve operational stability. Lead resiliency design reviews, deconstruct complex problems into actionable work for other engineers, and act as the main point of contact during major incidents. Lead initiatives to improve reliability, stability, and performance of applications and platforms using data-driven analytics to enhance service levels. Drive collaboration to identify comprehensive service level indicators, establish service level objectives and error budgets with stakeholders and customers. Offer high-level technical expertise within one or more technical domains, proactively identifying and solving technology-related bottlenecks. Document and share knowledge within the organization via internal forums and communities of practice, driving awareness and adoption of new technologies. Required Qualifications, Capabilities, and Skills: Formal training or certification in software engineering concepts and 5+ years’ applied experience. Demonstrated proficiency in reliability, scalability, performance, security, enterprise system architecture, toil reduction, and site reliability best practices. Advanced hands-on experience delivering system design, application development, testing, and operational stability. Fluent in at least one modern programming language (Python, Java/Spring Boot,). Advanced knowledge of software applications and technical processes, with emerging depth in one or more technical disciplines (e.g., cloud, distributed systems). Proficient in automation and continuous delivery methods, including CI/CD pipelines. Proficient with observability tools and service level objective alerting. Proficient with container and orchestration technologies (ECS, Kubernetes, Docker). Experience troubleshooting networking technologies and issues. Practical cloud native experience. Actively self-educates, evaluates new technology, and recommends suitable solutions. Preferred qualifications, capabilities, and skills: Observability Tools (e.g. Splunk, Grafana) Data Streaming Frameworks AWS services Kubernetes Terraform #CTC