Software Engineer (Asset & Wealth Infrastructure)

Salary: $61,000 - 101,000 per year Requirements: Formal training or certification in software engineering concepts and at least 3 years of applied experience. Experience in SRE, DevOps, or platform engineering, with ownership of reliability, performance, and incident response. Experience with AWS services such as ECS, VPC, S3, IAM, Lambda, Aurora PostgreSQL, Route 53, ELB, and API Gateway. Strong knowledge of automation and infrastructure as code, such as Terraform, including configuration and network as code. Experience guiding teams in safe, responsible use of enterprise-authorized AI tools for reliability engineering, with attention to validation and sensitive data. Hands-on experience with enterprise-authorized AI-assisted software development tools for coding, testing, troubleshooting, and documentation, including validating and refining outputs for correctness, performance, and security. Understanding of responsible AI practices in engineering, including secure handling of inputs and outputs, data sensitivity, resiliency, and security; able to advise colleagues on effective use. Knowledge of the software development lifecycle, from design and build through testing, release, and operations. Understanding of agile methods and CI/CD, with a focus on application resilience and security. Proficiency in at least one programming language and service-development ecosystem, such as Java and Spring Boot, plus familiarity with testing practices and frameworks. Ability to establish and reinforce practices for reviewing AI-assisted recommendations, escalating uncertain decisions, and maintaining resilience, security, and auditability. Preferred: Experience building scalable microservices with Java, Spring Boot, and Kafka in financial services or similarly regulated environments. Preferred: Experience with CI/CD tools such as Git, Maven, Jenkins, and SonarQube, and automated testing frameworks such as JUnit and Mockito. Preferred: Experience developing and maintaining deployment, monitoring, and operations automation, including incident-response tooling and runbook automation. Preferred: Strong working knowledge of observability patterns and tools, including metrics, logs, and traces, for troubleshooting complex production issues. Preferred: Experience coaching teams to adopt AI coding assistants such as GitHub Copilot, Cursor, or Claude while maintaining secure coding and validation practices. Responsibilities: Design, develop, and troubleshoot software solutions, applying creative problem-solving to improve system reliability, scalability, and performance. Create secure, high-quality production code and maintain services and algorithms that integrate reliably with dependent systems and platforms. Use enterprise-authorized AI coding assistants to support coding, refactoring, test creation, and documentation; verify results through peer review, automated testing, and secure coding practices, and share reusable approaches with the team. Apply software lifecycle tools, including CI/CD and authorized AI-assisted development and automation, to reduce manual work and improve deployment, monitoring, and operational efficiency. Create architecture and design artifacts for complex applications, including infrastructure, configuration, and network as code, ensuring implementations meet design constraints and non-functional requirements. Analyze and visualize large, diverse datasets and produce reporting that supports ongoing improvements to applications and operations. Identify underlying patterns in production issues and data, then use findings to improve code quality, system architecture, and operational stability. Apply SRE, DevOps, and observability practices to monitor platform health, address risks proactively, and troubleshoot complex production incidents. Analyze structured, unstructured, and telemetry data to identify trends and anomalies and turn findings into reliability and performance improvements. Technologies: AI API AWS Lambda CI/CD Copilot Cursor DevOps Git GitHub IAM Support JUnit Java Jenkins Kafka Maven Network PostgreSQL Security Spring Spring Boot Terraform microservices Cloud More: We are partnering with hackajob to recruit a Software Engineer III for our Asset and Wealth Management Infrastructure team. In this role, you will join an agile team delivering secure, stable, scalable technology in support of our business. JPMorganChase is a longstanding financial institution serving consumers, small businesses, and corporate, institutional, and government clients, with businesses spanning investment banking, banking, payments, and asset management. Our Asset & Wealth Management division provides investment management and private banking solutions through a global network of investment professionals. We offer a competitive total rewards package, with compensation based on role, experience, skills, and location, plus eligible incentive compensation and benefits such as health coverage, wellness resources, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching. We are an equal opportunity employer and value diversity and inclusion; reasonable accommodations are available for applicants and employees. last updated 42 week of 2026