When you mentor and advise multiple technical teams and move financial technologies forward, it's a big challenge with big impact. You were made for this.
As a Senior Manager of Software Engineering at JPMorganChase within the Consumer and Community Banking, you serve in a leadership role by providing technical coaching and advisory for multiple technical teams, as well as anticipate the needs and potential dependencies of other functions within the firm. As an expert in your field, your insights influence budget and technical considerations to advance operational efficiencies and functionalities.
Job responsibilities- Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers that work on basic to moderately complex tasks
- Accountable for decisions that influence teams' resources, budget, tactical operations, and the execution and implementation of processes and procedures
- Sets and scales operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed, quality, and operational outcomes; establishes measurable expectations (e.g., throughput, defect reduction, reliability) and ensures consistent validation, security, resiliency, and reuse of proven patterns.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive efficiency and support capacity unlock initiatives across teams, prioritizing reuse of existing firm technology assets.
- Ensures successful collaboration across teams and stakeholders. Identifies and mitigates issues to execute a book of work while escalating issues as necessary
- Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team
- Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
- Oversee the end-to-end design, development, and deployment of scalable and resilient platform solutions, setting technical direction and standards to ensure secure infrastructure that aligns with organizational objectives and industry best practices.
- Lead cross-functional teams in building secure, high-quality platform components and automation, fostering a culture of technical excellence, innovation, and continuous improvement across engineering disciplines
- Develop and maintain comprehensive architecture and design documentation for platform services and infrastructure, ensuring compliance with enterprise standards, regulatory requirements, and platform design constraints
- Direct the analysis and synthesis of large, diverse data sets to generate actionable insights, visualizations, and reporting that inform strategic decision-making and drive operational excellence
Required qualifications, capabilities, and skills- Formal training or certification on software engineering concepts and 5+ years applied experience . In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise
- Expert-level proficiency in Python and/or Java, with extensive experience in developing, debugging, and maintaining complex codebases and database querying languages.
- Deep expertise in SQL and NoSQL databases, data lakes, and AWS S3, with a proven ability to architect and implement scalable, secure data storage solutions.
- Demonstrated success in deploying and managing enterprise applications using AWS services such as EMR, EKS/ECS, EC2, Event Bus, and S3.
- Mastery of enterprise monitoring and logging tools, including Splunk, Elastic Search, Dynatrace, AppDynamics, Grafana, CloudWatch, and Datadog, with a focus on proactive system health and performance management
- Advanced experience in designing and implementing Continuous Integration and Continuous Deployment pipelines using Jenkins, Spinnaker, and related automation tools.
- In-depth understanding of the full software development lifecycle, agile methodologies, application resiliency, and security principles, with a track record of delivering secure, reliable solutions.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and control expectations; ability to coach managers/leads and influence leaders on safe scaling patterns.
- Experience with hiring, developing, and recognizing talent
- In-depth knowledge of the services industry and their IT systems
- Practical cloud native experience
