Software Engineer III Python/Java

• We execute software solutions, including design, development, and technical troubleshooting, using creative approaches to solve complex problems.
• We create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems.
• We perform platform design, setup, and configuration, and provide engineering support to data engineering, Data Science/ML, and application/integration teams.
• We collaborate with engineering and data teams to optimize infrastructure and deployment processes, with a focus on automation and operational excellence.
• We identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability.
• We leverage enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity, while validating outputs through peer review, automated testing, and secure coding standards.
• We apply knowledge of software development life cycle toolchains, including enterprise-authorized AI-assisted development and automation capabilities, to increase the value realized by automation.
• We lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs, technical credentials, and fit within our systems and information architecture.
• We contribute to software engineering communities of practice and events that explore new and emerging technologies.
• We add to our team culture of diversity, opportunity, inclusion, and respect.

Technologies:

• AI
• AWS
• Big Data
• CI/CD
• Databricks
• Docker
• Incident Management
• Support
• Java
• Kubernetes
• Marketing
• Python
• Security
• Spark
• Cloud

• We require formal training or certification in software engineering concepts, along with applied experience.
• We require extensive experience with AWS Databricks platform administration and engineering support.
• We require a strong understanding of SRE principles, including SLIs, SLOs, error budgets, and incident management.
• We require experience with monitoring tools, automation frameworks, and CI/CD pipelines.
• We require hands-on experience using enterprise-authorized AI-assisted software development tools, with the ability to validate and refine AI-generated outputs for correctness, performance, and security.
• We require an understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resiliency and security expectations.
• We require proficiency in Python and/or Java application development with automated unit testing.
• We require a solid understanding of agile methodologies such as CI/CD, application resiliency, and security.
• We require knowledge of big data distributed compute frameworks such as Spark, Glue, and MapReduce.
• We require excellent troubleshooting, analytical, and communication skills.
• Preferred: experience with data pipelines using Spark.
• Preferred: exposure to AWS and Databricks platform administration.
• Preferred: knowledge of containerization technologies such as Docker and Kubernetes, and orchestration.
• Preferred: familiarity with distributed systems and large-scale data processing.

We are JPMorganChase, a global leader in financial services serving corporations, governments, wealthy individuals, and institutional investors. We are offering a full-time Software Engineer III opportunity within our AI/ML and Data Platform, where you will work as a seasoned member of an agile team to build trusted, market-leading technology in a secure, stable, and scalable way. We value diversity and inclusion, support reasonable accommodations for applicants and employees, and emphasize a first-class business in a first-class way approach. Our corporate functions span finance, risk, human resources, and marketing, and our teams play an essential role in enabling success for our businesses, clients, customers, and employees.