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High due to Tier-1 brand, mid-level generalist title, metro hiring, and broad skill requirements.
Medium because core devops/SRE skills transfer across industries, though banking tooling and compliance add domain bias.
High because of explicit 5+ years requirement and mandatory cloud, Kubernetes, monitoring, and incident-management skills.
Lead software development efforts focusing on secure, scalable, and stable market-leading technology products within JPMorgan Chase's Commercial & Investment Bank.
Drive adoption and implementation of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational results, including code review, test acceleration, and incident analysis.
Lead technical evaluations with vendors and internal teams to assess architectural and technical solutions for integration within existing systems and information architecture.
5+ years of applied software engineering experience with formal training or certification in software engineering concepts.
Experience with large-scale technology environments, both on-premises and cloud (including Kubernetes and AWS).
Familiarity with IT ticketing systems such as ServiceNow and Jira Service Desk.
Proficiency in modern programming languages, database querying languages, and knowledge of agile methodologies including CI/CD, application resiliency, and security.
Experienced technical leader capable of driving team-wide adoption of AI-assisted software development tools with a focus on validation for correctness, security, and performance.
Strong background in monitoring and supporting applications and infrastructure, including incident, problem, and change management processes in complex environments.
Comfortable operating in large corporate and financial technology environments, with knowledge of tools like Geneos, Grafana, Splunk, DynaTrace, and cloud-based platforms.