Drimva

JPMorgan Chase

SR Director of Software Engineering – Trust and Safety Engineering

Tampa, FL +2 · Director · Full-time · Posted Jun 30, 2026

Location
Tampa, FL
Plano, TX
Austin, TX
Experience
10+ years applied experience, including 5+ years leading technologists.
Education
Formal training or certification on software engineering concepts.

About the job

Leads engineering teams and strategy for high-throughput, low-latency fraud-prevention systems, while advancing agentic AI-enabled engineering practices across departments.

What you'll do

  • Lead multi-department technology implementations, teams, and strategic initiatives; align senior stakeholders across complex projects.
  • Drive delivery and operational reliability of fraud-prevention systems, including DevOps, CI/CD, and infrastructure-as-code adoption.
  • Set and scale agentic AI-enabled engineering and SDLC/TLM automation strategy, governance, standards, and safeguards.

What they ask for

  • Formal training or certification in software engineering concepts and 10+ years of applied experience, including 5+ years leading technologists.
  • Strong background in Java-based backend systems and deep understanding of distributed systems and cloud-native architectures.
  • Experience with cloud platforms, high-throughput/low-latency production systems, DevOps, CI/CD, and infrastructure as code.
  • Experience leading cross-functional teams and multi-organization adoption of agentic AI-enabled engineering models; knowledge of responsible AI risk and controls.

Nice to have

  • Event-driven architectures, data engineering, SRE principles, containerization/orchestration, or API design and management.
  • Security and compliance in regulated environments; performance tuning and scalability optimization.

Tools

Java, Spring Boot, AWS, GCP, Azure, CI/CD, Kafka, Pulsar

AI focus

Leads adoption of agentic AI-enabled engineering and SDLC/TLM automation, including governance, human-in-the-loop decisioning, quality gates, secure handling of inputs and outputs, and responsible AI controls.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 6, 2026 (UTC)