Sr Lead Software Engineer - Market Risk Technology SRE

Job description

Join a globally recognized financial organization and advance your profession to new heights by contributing to revolutionary projects. You've discovered the perfect environment to have a major impact. As a Sr Lead Softwre Engineer at JPMorganChase within the Market Risk Technology team, you draw upon your advanced knowledge to identify new opportunities to influence critical incident management and improve the end-to-end lifecycle of software development for the firm.

You will have the opportunity to manage, design, and implement infrastructure components to improve reliability and ensure operational efficiency.

Job responsibilities

• Identifies and solves problems of high complexity and drives improvements as outcomes
• Uses enterprise-authorized AI capabilities within the work environment to accelerate complex incident analysis and reliability decisioning, validating outputs and handling operational data according to sensitivity and security requirements.
• Works with development teams throughout the software life cycle ensuring sustainable software releases, leading medium to large projects by bringing together the proper perspectives, identifying road blockers, and integrating feedback from team members and the firm
• Manages, designs, and implements infrastructure components to improve reliability and ensure operational efficiency
• Influences management and stakeholders through clear recommendations and measurable reliability outcomes
• Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices, ensuring traceability/auditability, resiliency, and security controls.

Required qualifications, capabilities, and skills Formal training or certification on engineering concepts and 10+ years applied experience Advanced knowledge of software applications and technical processes with considerable depth in one or more technical disciplines Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve reliability engineering workflows with strong validation habits and awareness of data sensitivity.

Ability to validate AI-assisted operational recommendations before applying changes, escalating when uncertain and following data sensitivity requirements.

• Ability to determine how each system relates to each other and uses a breadth of tools to drive automation, process improvement, and reliability for the firm Experience with translating research, analysis, and tests into business recommendations Preferred qualifications, capabilities, and skills Fluency with Python programming language
• Familiarity with observability and monitoring tools such as Prometheus, Grafana, or OpenTelemetry
• Familiarity with cloud technologies such as AWS or GCP, including deployment, management, and optimization of cloud-based applications Experience working in the financial/fintech industry