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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Manager of Software Engineering - **Company:** JPMorgan Chase & Co. - **Location:** Houston, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** .NET Framework, Artificial Intelligence, Software Applications, Continuous Delivery, Continuous Integration, Data Intelligence, Python (Programming Language), Machine Learning, Reliability Engineering, Software Engineering, Computer Network Technologies, Spring-boot, Gitlab, Kubernetes, Data Analytics, Terraform, Commvault, Docker, Jenkins, Programming Languages - **Published:** July 21, 2026 - **Apply:** https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/requisitions/preview/210771706 ## About the Role As a Senior Manager of Software Engineering at JPMorgan Chase within the Infrastructure Platforms-Data Protection and Recovery organization team, you are the non-functional requirement owner and champion for the applications in your remit. You are a key influencer in your team's strategic planning, driving continual improvement in customer experience, resiliency, security, scalability, monitoring, instrumentation, and automation of the software in your area. You act in a blameless, data-driven manner and navigate difficult situations with composure and tact., * Formal training or certification on software engineering concepts and 5+ years applied experience * Advanced proficiency in site reliability culture and principles and can demonstrate how to implement site reliability across application and platform teams while avoiding common pitfalls * Experience leading teams in the safe use of enterprise-authorized AI capabilities within the work environment for reliability engineering workflows, including validation habits and awareness of data sensitivity. * Ability to set and reinforce organization-level practices for reviewing AI-assisted recommendations and escalating uncertain decisions while maintaining resiliency, security, and auditability outcomes. * Experience leading technologists to manage and solve complex technological issues at a firmwide level * Ability to influence the team's culture by championing innovation and change for success * Experience hiring, developing, and recognizing talent * Proficiency in at least one programming language (e.g., Python, Java Spring Boot, .Net, etc.) * Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) * Proficiency in continuous integration and continuous delivery tools (e.g., Jenkins, GitLab, Terraform, etc.) * Experience with container and container orchestration (e.g., ECS, Kubernetes, Docker, etc.) and troubleshooting common compute, storage, and networking technologies and hardware issues Preferred qualifications, capabilities, and skills * Ability to code and demonstrate data fluency * Experience with enterprise data protection products such as Cohesity or Commvault ## Description * Demonstrates expertise in site reliability principles and demonstrates an understanding of the fine balance between features, efficiency, and stability * Effectively negotiates with peers and executive partners to ensure optimal outcomes for all * Drives reuse-first adoption of enterprise-authorized AI capabilities within the work environment to improve reliability operations and customer experience outcomes, with human-in-the-loop validation and appropriate handling of sensitive data. * Drives the adoption of site reliability practices throughout the organization * Ensures your teams demonstrate site reliability best practices with the ability to demonstrate this empirically through stability and reliability metrics * Drives a culture of continual improvement and solicits real-time feedback to improve the customer's experience and Ensures your team collaborates with other teams within your group's specialization and avoids duplication of work where possible * Follows blameless, data-driven, post-mortem strategies and conducts regular team debriefs to enable learning from both successes and mistakes * Provides personalized coaching for entry to mid-level team members and Ensures your team documents and shares their knowledge and innovations via internal forums, communities of practice, guilds, and conferences * Establishes team standards for AI-assisted reliability workflows across automation and delivery practices, ensuring traceability/auditability, resiliency, and security controls. ## Related Videos - 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