Software Engineer III - Data Engineering | Infrastructure Platforms

As a Software Engineer III at JPMorganChase within the Infrastructure Platforms organization, 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., As a Software Engineer III, you contribute to the design, development, testing, deployment, and ongoing improvement of secure, production-ready applications that combine Java-based software engineering with Python-based AI/ML capabilities. The role works across the delivery lifecycle to solve business problems, improve customer experiences, and increase operational efficiency in cloud and hybrid data environments. You use your elevated technical skills to support the design and development of metrics reporting and dashboards to enable Operations Management to execute their strategic objectives and ensure conformance with all controls, policies, and procedures., * Translate stakeholder and business requirements into well-defined technical solutions, prototypes, and delivery plans.

• Using Java and Python, create secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Use SQL to analyze large, heterogeneous datasets, validate assumptions, generate insights, and measure solution impact.
• Contribute to scalable, resilient architectures and support reliable deployment, monitoring, validation, troubleshooting, and iterative improvement.
• Automate operational processes and help eliminate recurring issues to improve platform stability and efficiency.
• Create unit and integration tests and participate in code reviews and continuous validation practices.
• Collaborate with product owners, operations, marketing, engineering, data, and other cross-functional teams to deliver end-to-end solutions aligned with enterprise standards.
• Produce clear technical documentation, reports, and presentations for technical and non-technical audiences.
• Support model and data governance by documenting solution design and providing technical input to risk, privacy, and controls assessments
• 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.

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands-on practical experience in system design, application development (SDLC), testing (unit and integration), and operational stability for building enterprise cloud native applications. Understanding of software engineering fundamentals, APIs, source control, testing, debugging, and continuous integration and delivery practices.
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages (Java & Python) and database querying languages (SQL)
• Experience with frameworks like Spring boot, Hibernate, Envers, etc.
• Experience with data-intensive and statistical applications such as Jupiter notebooks
• Data engineering experience working with BigData, Data Mesh, Data Lake architecture, relational/graph databases, PL/SQL, data analytics and dashboards (Tableau, Qlik-sense,etc.)
• Working with Telemetry systems using tools like Splunk, Elastic Search, etc.
• Experience and solid understanding of Retrieval-Augmented Generation (RAG), agentic workflows, prompt engineering, model development and testing.
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
• Exposure to cloud or hybrid platforms such as AWS and modern data or container platforms such as Databricks or Kubernetes.

Preferred qualifications, capabilities, and skills

• Bachelor’s degree in Computer Science, with specialization
• Experience with Data Analytics
• Experience with Oracle, MongoDB etc.
• Experience with deploying a vector database on services like Google Kubernetes Engine (GKE), Amazon Elastic Kubernetes Service (EKS)

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.