Lead Software Engineer

Salary: $61,000 - 101,000 per year Requirements: We look for formal training or certification in software engineering, plus 5+ years of hands-on experience. We expect strong end-to-end backend delivery experience, including system design, development, testing, deployment, and production support. We need strong proficiency in Python or Go for building services and automation. We require practical CI/CD expertise with Jenkins in enterprise delivery settings. We value solid SDLC execution, including secure coding, test planning, release governance, and operational support. We need cloud-native engineering experience on Azure, AWS, or GCP. We require experience implementing security, audit, and compliance controls in regulated environments. We look for production experience with Kubernetes and workflow orchestration. We need the ability to lead cross-functional delivery and mentor developers with a focus on secure, resilient engineering. We expect demonstrated use of approved AI-assisted software development tools, with clear standards for validating outputs for correctness, performance, and security. We require a strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resilient delivery practices. Preferred: experience delivering and operating security and compliance solutions, including cloud-native security services across Azure, AWS, and GCP. Preferred: experience with policy-as-code and infrastructure-as-code, such as Terraform and cloud policy frameworks. Preferred: experience building event-driven architectures and telemetry pipelines for control evidence and compliance reporting. Preferred: experience integrating third-party security and compliance products into enterprise platforms. Preferred: knowledge of financial-services regulatory and technology risk frameworks. Preferred: experience applying AI-assisted tooling to security engineering and continuous compliance workflows. Preferred: experience with API integration patterns and enterprise authentication and authorization mechanisms. Responsibilities: We design and deliver multi-cloud security and continuous compliance solutions across Azure, AWS, and GCP. We translate regulatory and policy needs into technical controls, measurable KPIs/KRIs, and actionable engineering plans. We build automation for preventive, detective, and corrective controls, including validation, evidence collection, exception handling, and remediation. We implement audit-ready observability and traceability across services and delivery pipelines, including logs, metrics, lineage, and reporting. We write and maintain high-quality production code in Python or Go, and contribute to Java components where needed. We engineer workflow orchestration for control execution, exception processing, and remediation across cloud and platform systems. We build and improve CI/CD pipelines with Jenkins, including DevSecOps quality and security gates. We integrate enterprise systems and APIs such as Jira, Confluence, Bitbucket, identity and authentication platforms, and cloud provider services. We lead reliability and security engineering practices by driving code and architecture reviews, troubleshooting complex incidents with root-cause analysis, and maintaining documentation, runbooks, and control standards. We evaluate and integrate third-party tools, and we guide the responsible adoption of enterprise-approved AI-assisted engineering with strong validation for security, performance, resiliency, and data handling. We promote team adoption of approved AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards and encouraging reuse of effective patterns. We apply SDLC tools, including enterprise-authorized AI-assisted development and automation capabilities, to increase the value delivered through automation. Technologies: AI API AWS Azure Backend BitBucket CI/CD Cloud Confluence DevSecOps GCP Support JIRA Java Jenkins Kubernetes Marketing Python Security Terraform Fullstack More: hackajob is collaborating with J.P. Morgan to connect exceptional professionals with this opportunity. We are hiring a Lead Software Engineer, Full Stack/Multi-Cloud Security to join JPMorgan Chase within the Corporate Sector Cloud Foundational Services team. In this role, we offer the chance to advance your software engineering career while helping us build trusted, market-leading technology in a secure, stable, and scalable way. We provide a competitive total rewards package, with base pay based on role, experience, skills, and location, and eligible roles may include commission or discretionary incentive compensation. Our benefits and programs may include comprehensive health coverage, on-site health and wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, financial coaching, and more, with final compensation details shared during the hiring process. We are committed to diversity and inclusion and are an equal opportunity employer. Our Corporate Functions team spans finance, risk, human resources, marketing, and other essential areas that help set our businesses, clients, customers, and employees up for success. last updated 40 week of 2026