Senior Manager of Software Engineering

Job Description

Job Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Senior Manager of Software Engineering at JPMorgan Chase within Consumer and Community Banking Technology, you will be responsible for designing, building, testing, and delivering Infrastructure-as-Code and platform services to accelerate modernization and automation for customers, clients, and employees.

• The role is accountable for end-to-end system reliability and operational efficiency, applying an engineering-first mindset to operations by treating operational challenges as software problems.
• You will drive effective incident prevention and resolution, reduce client impact, and maintain rapid delivery velocity by establishing strong observability, proactive event management, and a disciplined approach to automation.
• You will also guide the adoption of agentic AI-enabled engineering to reduce repeatable toil, improve insight and decisioning, enable self-healing capabilities, and deliver highly resilient, scalable, cost-effective, cloud-agnostic deployments.
• In addition to deep technical leadership, this position requires demonstrated strength in people management—building and developing high-performing teams, coaching and mentoring technologists, setting clear goals, and creating a culture of accountability and continuous improvement.
• The role typically allocates approximately 50% of time to people leadership and 50% to technical and delivery contributions, with direct leadership of a team of 8+ employees.

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Proven track record in technical design and delivery, with strong emphasis on people leadership (hiring, performance management, career development, and team culture)
• Experience leading teams delivering resilient production services with measurable improvements in reliability, efficiency, and automation
• Compute/Platform: Cloud Foundry, VMware ESX, Kubernetes, GPUs
• AI-enabled engineering tools: GitHub Copilot, Claude Code (or similar)
• Development: Java, Spring Boot, Python
• Databases: Oracle, PostgreSQL, Cassandra, CockroachDB, Valkyrie, vector databases
• Replication: GoldenGate, DMS
• Observability & Visualization: Grafana, Dynatrace, Databricks, Prometheus, Temporal, Tableau, cloud-native visualization tooling
• Data Platforms: Hadoop, Spark
• CI/CD & SDLC Tooling: Bitbucket, GitHub, Jenkins, Spinnaker, Harness, Jira

• Cloud certifications (preferred)