JPMorgan Manager Software Engineering - Solutions Delivery 

United States, Texas, Austin 

63203156

, 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

Job Responsibilities:

• Provide guidance to a team of software engineers on daily tasks and activities.
• Set overall expectations for team output, practices, and collaboration.
• Anticipate dependencies with other teams to deliver products and applications aligned with business requirements.
• Manage stakeholder relationships and ensure the team's work adheres to compliance standards and service level agreements.
• Lead the transformation of product decisions into high-quality technical deliverables.
• Drive the definition of the technical architecture for deliverables.
• Foster a culture of diversity, equity, inclusion, and respect, prioritizing diverse representation within the team.

Required Qualifications, Capabilities, and Skills:

• Formal training or certification in software engineering concepts with 5+ years of applied experience, including coaching and mentoring.
• Experience leading technology projects and managing technologists.
• Proficiency in automation and continuous delivery methods.
• Proficient in all aspects of the Software Development Life Cycle.
• Advanced understanding of agile methodologies, including CI/CD, application resiliency, and security.
• In-depth knowledge of the financial services industry and its IT systems.
• Practical cloud-native experience.
• Background in Computer Science, Engineering, Mathematics, or a related field with expertise in technology disciplines.

Preferred Qualifications, Capabilities, and Skills:

• Experience working at the code level.
• Familiarity with technologies such as Java, React.js, and event streaming.
• Knowledge of observability tools and standards, such as OpenTelemetry and Grafana.
• Experience performing real-time analytics on large datasets.
• Understanding of data warehouses or time series databases.
• Experience with large enterprise applications using microservice-based architecture.
• Experience with public cloud platforms.