2027 Software Engineer Program_Summer Analyst (Singapore)

About the role

Job description As an Early Careers Software Engineer Intern, you'll make an immediate impact at JPMorganChase by contributing to high-impact technology projects in a modern engineering environment. You will build strong technical foundations while developing the critical thinking skills and judgment needed to grow into a confident, effective engineer. You will collaborate with experienced engineers to deliver high-quality solutions, expand your skills through continuous learning, and access clear opportunities for career growth within the firm. ABOUT THE PROGRAM As an Early Careers Software Engineer Intern in our Software Engineer Program, you will play a vital role in building and optimizing digital applications and systems that serve millions globally. You will start with an induction that introduces our technology strategies, products, and systems, and provides an overview of our technology community. Working in a collaborative team, you will partner with peers and experienced software engineers to enhance your skills, share ideas and feedback, and help deliver reliable solutions in a modern engineering environment. This internship offers a chance to gain deeper insights into our work culture through networking events, senior speaker sessions, and peer-mentorship programs. As it is a pipeline for future graduate opportunities, based on individual performance and achievements, at the end of the summer, top performers may be invited to join us for a 2027 full-time role upon graduation. We will be filling our classes on a rolling basis, so we strongly encourage you to submit your application as early as possible before job postings close. Job Responsibilities - Develop skills through ongoing training, mentorship, and access to senior leaders. - Design, develop, test, and troubleshoot software solutions. - Write secure, high-quality code in at least one programming language, following established standards and best practices. - Collaborate with engineers, managers, and stakeholders across teams to understand problems, share ideas and feedback, and deliver reliable solutions. - Communicate clearly in writing and verbally by articulating problems, documenting solutions, and effectively prompting approved AI-assisted development tools to produce high-quality outputs. - Leverage approved AI development tools (for example, code generation, refactoring, test creation, and documentation) to improve code quality and productivity, while validating outputs through peer review, automated testing, and secure coding practices. - Apply automation and modern tooling across the software development life cycle, including AI-enabled capabilities, to improve delivery efficiency and reliability. REQUIRED QUALIFICATIONS, CAPABILITIES, AND SKILLS - Pursuing a bachelor's Degree with expected graduation between September 2027 through August 2028 - Available for full time internship from June 2027 to August 2027 - Demonstrated ability to code in one or more general-purpose programming languages such as Java, Python, Go & other programming languages or technologies like Robotics and Mobile Apps etc. - Understanding of software skills such as business analysis, development, maintenance, and software improvement - Proficiency in developmental toolsets - Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security - Have streams and specializations in Computer Science, Information Science, Information Technology, Data Science, Artificial Intelligence, Big Data, or related fields with less than 2 years of experience. - Basic knowledge of industry-wide technology trends and best practices. - Demonstrate the ability to write secure, high-quality code in at least one programming language, following established standards and best practices. - Have experience collaborating with engineers, managers, and stakeholders across teams to understand problems, share ideas and feedback, and deliver reliable solutions. - Demonstrate strong written and verbal communication skills, including the ability to articulate technical concepts, document work, and collaborate effectively across teams and tools. - Apply automation and modern tooling to reduce manual effort and improve consistency across the software development life cycle. - Use approved AI development tools (for example, code drafting, refactoring, testing, and documentation) with appropriate review and validation. - Critically evaluate AI-generated outputs and remain accountable for final solution quality and correctness. - Follow responsible AI practices in engineering workflows, including secure handling of inputs and outputs and adherence to resiliency and security expectations. Preferred qualifications, capabilities, and skills - Demonstrate interpersonal and problem-solving skills, with the ability to thrive in a fast-paced, collaborative environment. - Bring curiosity about emerging technologies and thoughtfully assess wh

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