Software Engineer III

Responsibilities

• Lead end-to-end software delivery, including design, development, and debugging, with the ability to tackle non traditional problems and break down complex technical challenges.
• Produce secure, high-quality production code and maintain algorithms that operate in coordination with related systems.
• Leverage enterprise authorized AI coding assist tools to boost code quality, delivery speed, and productivity on complex deliverables such as code generation, refactoring, unit tests, and documentation, validated through peer review, automated testing, and secure coding standards; share learnings and reusable patterns to enhance team effectiveness.
• Apply knowledge of the software development life cycle toolchain, including enterprise AI-assisted development and automation capabilities, to maximize automation value.
• Create architecture and design artifacts for sophisticated applications and ensure code aligns with defined constraints.
• Gather, analyze, synthesize, and present visualizations and reports from large, diverse data sets to support continuous software improvements.
• Proactively identify hidden data patterns and use these insights to enhance coding hygiene and system architecture.
• Follow best practices in SRE, DevOps, and observability to improve platform health.
• Analyze large volumes of structured, unstructured, and telemetry data to uncover trends, anomalies, and actionable insights.

Requirements

• Formal training or certification in site reliability engineering concepts plus 5+ years of applied experience.
• Additionally, 2+ years of experience guiding technologists to solve complex items within the relevant domain.
• Experience in SRE, DevOps, or Platform Engineering environments.
• Exposure to observability tools such as OpenTelemetry, Grafana, Prometheus, ELK, or CloudWatch.
• Basic understanding of automation, operational tooling, and event-driven workflows.
• Foundational knowledge of distributed systems, microservices, and cloud architecture.
• Experience leading teams in the safe use of enterprise-authorized AI capabilities for reliability engineering workflows, including validation practices and awareness of data sensitivity.
• Experience hiring, developing, and recognizing talent.
• Proficiency in at least one programming language such as Python, Java/Spring Boot, or .Net.
• Solid understanding of software applications and technical processes within a given discipline (for example Cloud or AI).
• Proficiency with CI/CD practices, containerization/orchestration, and troubleshooting common networking issues.
• Ability to establish and reinforce organization-wide practices for reviewing AI-assisted recommendations and escalating uncertain decisions while maintaining resiliency, security, and auditability.

Technologies

• Python, Java/Spring Boot, .Net
• AWS ECS, AWS Lambda, AWS API Gateway
• AWS CloudWatch, AWS RDS, AWS EKS
• OpenTelemetry, Grafana, Prometheus, ELK
• GitHub Copilot, AWS Bedrock, OpenAI

Benefits

• Comprehensive health care coverage
• On-site health and wellness centers
• Retirement savings plan
• Backup childcare
• Tuition reimbursement
• Mental health support
• Financial coaching

About Us

JPMorganChase is a historic financial institution delivering innovative solutions to consumers, small businesses, and institutional clients under the JPMorganChase brands. With a history spanning more than two centuries, the firm leads in investment banking, consumer and small business banking, commercial banking, financial transaction processing, and asset management.

About the Team

J.P. Morgan Asset & Wealth Management provides investment management and private banking solutions to individuals, advisors, and institutions. The team spans the full spectrum of asset classes through a global network of investment professionals to help clients pursue their financial goals.