Software Engineer III

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorganChase within the Asset and Wealth Management, infrastructure team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities - Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems - Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems - Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness. - Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. - Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development - Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems - Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture - Follow best practices in SRE, DevOps, and observability to enhance platform health - Analyze large volumes of structured, unstructured, and telemetry data to uncover trends, anomalies, and actionable insights Required qualifications, capabilities, and skills - Formal training or certification on site reliability engineering concepts and 5+ years applied experience . In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise - 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 and Foundational knowledge of distributed systems, microservices, and cloud architecture - Experience leading teams in the safe use of enterprise-authorized AI capabilities within the work environment for reliability engineering workflows, including validation habits and awareness of data sensitivity. - Experience hiring, developing, and recognizing talent - Proficient in at least one programming language such as Python, Java/Spring Boot, .Net - Proficient knowledge of software applications and technical processes within a given technical discipline (e.g., Cloud, AI, Android, etc.) - Proficient with CI/CD practices and related tooling, container/container orchestration, and troubleshooting common networking technologies and issues - Ability to set and reinforce organization-level practices for reviewing AI-assisted recommendations and escalating uncertain decisions while maintaining resiliency, security, and auditability outcomes. Preferred qualifications, capabilities, and skills - Hands-on experience with AWS services (ECS, Lambda, API Gateway, CloudWatch, RDS, EKS) - Experience with AI-powered coding assistants such as GitHub Copilot - Familiarity with prompt engineering, embeddings, or RAG-based systems - Exposure to building operational tools such as chatbots or runbook automation - Proficiency in Java and Python - Familiarity with AWS Bedrock, OpenAI, or other LLM APIs is a plus.