Develops secure, scalable software for JPMorgan Chase’s Payments Technology team. Responsibilities include designing and delivering production code, troubleshooting systems, creating architecture artifacts, maintaining algorithms, analyzing large datasets, and improving system quality and resiliency. The role uses Java or Python, enterprise AI-assisted development tools, agile methodologies, CI/CD, and modern databases. Candidates need at least three years of software engineering experience, with Cassandra, CockroachDB, reactive programming, cloud, or frontend exposure beneficial.
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 JPMorgan Chase within the Commercial & Investment Bank Payments Technology team, you will be an experienced member of an agile team, tasked with designing and delivering reliable, market-leading technology products that are secure, stable, and scalable.
Job responsibilities
As a Software Engineer III at JPMorgan Chase within the Commercial & Investment Bank Payments Technology team, you will be an experienced member of an agile team, tasked with designing and delivering reliable, market-leading technology products that are secure, stable, and scalable.
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
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Hands-on practical experience in system design, application development, testing, and operational stability
- Proficient in coding in Java or Python languages
- Familiarity with Cassandra, Cockroach, Reactive Programming
- Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- 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.
- Overall knowledge of the Software Development Life Cycle
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Preferred qualifications, capabilities, and skills
- Familiarity with modern front-end technologies
- Exposure to cloud technologies
Similar Jobs
Artificial Intelligence • Automotive • Computer Vision • Information Technology • Internet of Things • Logistics • Software
Leads advanced data science and machine learning initiatives for global-scale digital map-making. Defines technical direction, develops predictive and statistical models, applies AI technologies, and drives deployment across scalable big data environments. Provides technical leadership for complex projects, collaborates with engineering and architecture teams, explains predictive solutions to executives, and mentors data scientists and engineers.
Top Skills:
Big DataComputer VisionDeep LearningHadoopHiveMachine LearningMatlabPigPoint Cloud ProcessingPredictive ModelingPythonRSASShell ScriptingSparkSQLStatistical Analysis
Automotive • Professional Services • Software • Consulting • Energy • Chemical • Renewable Energy
Leads the strategy, development, commercialization, and full lifecycle execution of UL Solutions’ Marketing Claim Verification Program. Coordinates cross-functional teams, manages stakeholders, risks, budgets, governance reviews, testing methodologies, customer-facing deliverables, and continuous improvement. Supports growth through opportunity development, proposals, customer engagement, and value proposition creation while translating technical concepts into market-focused solutions.
Fintech • Legal Tech • Software • Financial Services • Cybersecurity • Data Privacy
Processes client orders and legal documents, responds to internal and external inquiries, updates customer records, manages portfolios, fulfills orders across jurisdictions, coordinates project progress, navigates multiple databases, and resolves documentation issues while maintaining accuracy and strong customer service.
Top Skills:
MS OfficeSalesforce
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
