Lead Software Engineer: Automation & Platform Reliability

JP Morgan Chase

Jersey City (NJ)

On-site

USD 180,000 - 240,000

Full time

3 days ago
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Job summary

JPMorganChase in Jersey City seeks a Lead Software Engineer to design and deliver automation that scales provisioning, updates, and operation of virtualized and container platforms. You will own end-to-end technical outcomes and partner across teams to reduce risk, increase reliability, and accelerate delivery.

Responsibilities include automating lifecycle management, configuration, patches, and operational controls, while promoting AI-assisted development, high-quality code, and strong security

Qualifications

  • 5+ years experience in software engineering and system design.

Responsibilities

  • Design and deliver software solutions that automate virtualized cluster lifecycle management from provisioning through decommissioning.
  • Automate configuration, patching, compliance enforcement, and operational controls through platform and infrastructure APIs.
  • Lead production-grade deployments by owning technical solutions and driving operational readiness.
  • Diagnose complex issues using structured troubleshooting and data-driven decisions.
  • Identify recurring operational problems and implement durable automation to improve stability.
  • Establish AI-assisted engineering practices to improve code quality, testing, and incident resolution.
  • Define and improve engineering standards across system design, testing strategy, and service reliability.
  • Document architecture and design decisions to improve auditability and maintainability.

Job description

JPMorganChase in Jersey City seeks a Lead Software Engineer to design and deliver automation that scales provisioning, updates, and operation of virtualized and container platforms. You will own end-to-end technical outcomes and partner across teams to reduce risk, increase reliability, and accelerate delivery.

Responsibilities include automating lifecycle management, configuration, patches, and operational controls, while promoting AI-assisted development, high-quality code, and strong security

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