> Markdown version of [/jobs/ext/4244943-manager-of-software-engineering](https://www.wearedevelopers.com/jobs/ext/4244943-manager-of-software-engineering). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager of Software Engineering - **Company:** JPMorgan Chase & Co. - **Location:** Austin, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, JIRA, Continuous Integration, Systems Development Life Cycle, Microsoft Copilot, Software Engineering, Software Systems, Large Language Models, Agentic-AI, Git, Production Code, Bitbucket, Restful APIs, Microservices - **Published:** October 6, 2026 - **Apply:** https://www.themuse.com/jobs/jpmorganchase/manager-of-software-engineering-2cce99 ## About the Role * Formal training or certification in software engineering concepts and 5+ years of applied experience * Experience leading teams of technologists, with the ability to guide and coach teams to achieve goals aligned with strategic initiatives * Experience with hiring, developing, and recognizing talent * Hands-on practical experience delivering system design, application development, testing, and ensuring operational stability * Experience leading technology projects and managing technologist * Solid understanding of agile methodologies, application resiliency, and security * Working proficiency with development toolsets like GIT/Bitbucket, JIRA, and CI/CD pipelines. * Experience leading responsible adoption of enterprise-authorized AI-assisted development and delivery tools across engineering teams, including defining ways of working (review/validation expectations), measuring outcomes, and ensuring secure handling of data. * Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and governance expectations; ability to coach engineers on compliant and effective usage. * Has to be a UC Citizen or Permanent Resident for 7 continuous years Preferred qualifications, capabilities, and skills * Knowledge in Java, REST, and microservices preferred * Preferred using LLMs, Agentic AI; Copilot in VSCode ## Description This is your chance to change the path of your career and guide multiple teams to success at one of the world's leading financial institutions. As a Manager of Software Engineering at JPMorganChase within the Commercial and Investment Bank, Public Sector Lockbox, you lead multiple teams and manage day-to-day implementation activities by identifying and escalating issues and ensuring your team's work adheres to compliance standards, business requirements, and tactical best practices., * Provides guidance to immediate team of software engineers on daily tasks and activities * Sets the overall guidance and expectations for team output, practices, and collaboration * Anticipates dependencies with other teams to deliver products and applications in line with business requirements * Manages stakeholder relationships and the team's work in accordance with compliance standards, service level agreements, and business requirements * Creates a culture of diversity, opportunity, inclusion, and respect for the team members and prioritizes diverse representation * Lead and inspire a team of entry-level to mid-level software engineers, fostering a culture of collaboration, innovation, and excellence. * Oversee technical design, architecture, and implementation to ensure high-quality, scalable solutions. * Execute software solutions, design, development, and technical troubleshooting, with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems. * Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems. * Leads team adoption of enterprise-authorized AI-assisted engineering practices and SDLC/TLM automation to improve delivery speed, quality, and operational outcomes, while setting expectations for human validation, secure handling of inputs/outputs, and consistent use of reusable patterns across teams. * Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation and support capacity unlock initiatives.