Develops, tests, troubleshoots, and maintains secure, scalable software solutions within an agile engineering team. Writes Java and Spring Boot code, considers system dependencies, analyzes data to resolve issues, and applies software development lifecycle practices. Uses authorized AI-assisted development tools responsibly, validates generated outputs, and contributes to application resiliency, CI/CD, and security. Preferred experience includes front-end technologies, AWS, Kafka, Cassandra, microservices, REST APIs, GitHub, and Jenkins.
You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.
As a Software Engineer II at JPMorganChase within the Consumer & Community Banking team, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.
Job responsibilities
As a Software Engineer II at JPMorganChase within the Consumer & Community Banking team, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.
Job responsibilities
- Executes standard software solution, design, development, and technical troubleshooting
- Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.
- Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
- 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
- Applies technical troubleshooting to breakdown solutions and solve technical problems of basic complexity
- Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
- Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 2+ 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
- Proficient in coding in Java, Springboot
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.
- Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
Preferred qualifications, capabilities, and skills
- Familiarity with modern front-end technologies (React, Angular)
- Exposure to cloud technologies (AWS)
- Experience in Kafka, Cassandra, Cloud Micro-service Development, Restful API development
- Hands on Experience in DevOps technologies (GitHub, Jenkins, etc.)
- Exposure of AI Skill
Similar Jobs
Financial Services
Develop and troubleshoot Java full-stack software for secure, scalable commercial banking products. Build cloud-native applications on AWS using frontend technologies such as React or Angular, containerization with Kubernetes, microservices, and CI/CD practices. Apply Agile development, system design, testing, deployment, application resiliency, and secure coding. Use authorized AI development tools for coding, testing, documentation, and productivity while validating outputs and following responsible AI practices.
Top Skills:
AngularAWSCi/CdClaude CodeCSSGithub CopilotHTMLJavaJavaScriptKubernetesLlmsMicroservicesPythonReact
Financial Services
Develop and enhance business-critical applications using Java, Spring Boot, ReactJS, REST APIs, and microservices. Collaborate with compliance, operations, front-office, and technology teams to support investment compliance workflows. Drive automation across development, testing, deployment, and operations while applying CI/CD, Agile, observability, SRE, DevOps, secure coding, and responsible AI practices. Troubleshoot complex systems, optimize SQL and database performance, and deliver reliable, scalable software solutions in a regulated financial-services environment.
Top Skills:
AgileAutomated TestingAWSCi/CdDevOpsDockerDynatraceElkGitGrafanaJavaKubernetesMicroservicesOpenshiftPrometheusPythonReactRelational DatabasesRest ApisShellSplunkSpring BootSQLSre
Financial Services
Develops and troubleshoots secure, scalable software using Java, ReactJS, and AWS within an agile team. Responsibilities include full software development lifecycle participation, AI-assisted coding, automated testing, system integration, technical troubleshooting, data analysis, and adherence to security, resiliency, and responsible AI practices.
Top Skills:
Ai-Assisted Software Development ToolsAWSCi/CdJavaReact
What you need to know about the Kolkata Tech Scene
When considering the industries shaping India's tech scene, gaming might not immediately come to mind. However, in the last decade, increased internet usage and greater access to mobile devices have catapulted the industry to new heights, with Kolkata-based companies like Virtualinfocom, Red Apple Technologies and Digitoonz, at the forefront, driving the design and animation of new gaming titles for players.
