Develops secure, scalable software solutions for JPMorgan Chase’s Payments Technology team. Responsibilities include designing applications, writing and troubleshooting production code, creating architecture artifacts, using AI-assisted development tools, analyzing data to improve systems, and maintaining application resiliency and security within an agile SDLC. The role requires experience with system design, application development, testing, operational stability, modern programming languages, database querying, and CI/CD, with front-end and cloud familiarity preferred.
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
- 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
Financial Services
Develops and supports secure, scalable Java full-stack applications using React, Spring Boot, microservices, REST, cloud technologies, and databases. Responsibilities include software design, coding, troubleshooting, production monitoring, architecture documentation, CI/CD, cloud deployments, Kafka integration, and responsible use of AI-assisted development tools. The role analyzes application data, improves system reliability and architecture, resolves production issues, and collaborates with business and technology stakeholders.
Top Skills:
Ai-Assisted Software Development ToolsAppdynamicsAWSCi/CdCurlDynatraceGrafanaHibernateJavaJunitKafkaMicroservicesMockitoOraclePerlPostgresPostmanPythonReactRestShell ScriptingSpringSpring Boot
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Develop, test, document, implement, maintain, and support secure, scalable software applications. Build API and UI test automation, CI/CD quality gates, and automation frameworks while following software quality standards. Collaborate with cross-functional Agile teams, address emerging issues, report project metrics, and deliver solutions using Java, Angular, Spring Boot, cloud platforms, and related technologies.
Top Skills:
AngularAWSGradleHibernate/JpaJavaJava MicroservicesJenkinsMavenPivotal Cloud FoundryPl/SqlPostmanRestRest AssuredSeleniumShell ScriptingSoapSpring BatchSpring BootTestngUnix
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Lead technical design and build scalable data pipelines and platforms to support AI Ops, SRE, and analytics. Set standards for quality, security, and observability, mentor engineers, operationalize models, and contribute to roadmap and documentation for the ONE Data Lake.
Top Skills:
AICloud Data PlatformsClouderaData EngineeringData PipelinesMachine LearningObservabilityOne Data LakeOrchestration Tools
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
