Develops, tests, troubleshoots, and maintains secure, stable, scalable software within an Employee Platforms team. Responsibilities include writing high-quality code, considering system dependencies, using software development lifecycle tools and AI-assisted development tools, analyzing data, troubleshooting technical issues, and applying agile, resiliency, and security practices.
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, you are part of an Employee Platforms 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, you are part of an Employee Platforms 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
- Develop, debug, and maintain code in a large corporate environment using one or more modern programming languages and database querying languages.
- Use enterprise-authorized, AI-assisted software development tools (for example, for coding, testing, troubleshooting, or documentation) while critically evaluating and validating 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.
- Experience across the whole Software Development Life Cycle
- Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
Preferred qualifications, capabilities, and skills
- Exposure to AI technologies
- Knowledge on Cloud
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads the architecture and delivery of enterprise cloud-native AI applications, including multi-agent systems, RAG architectures, LLM integrations, and intelligent automation. Designs Azure-based AI platforms, establishes engineering standards, optimizes production performance and costs, and drives security, governance, DevOps, and responsible AI practices. Provides technical leadership through architecture reviews, mentoring, code reviews, stakeholder collaboration, and resolution of complex production issues.
Top Skills:
APIsAutogenAzureAzure Ai FoundryAzure Ai SearchAzure FunctionsAzure OpenaiCi/CdCognitive ServicesCosmos DbDistributed SystemsDockerEmbeddingsGenerative AiGitInfrastructure As CodeJavaScriptKubernetesLangchainLarge Language Models (Llms)LlamaindexMicroservicesModel Context Protocol (Mcp)PythonReactRetrieval-Augmented Generation (Rag)Semantic KernelSemantic SearchService BusSQLTypescriptVector Databases
Artificial Intelligence • Cloud • Information Technology • Consulting
Develop and maintain complex data center packet-forwarding software for routers and switches. Responsibilities include designing IPv4/IPv6, MPLS, SRv6, EVPN-VXLAN, multicast, firewall, QoS, and DHCP features; debugging microkernel/Linux issues; enhancing automated unit tests; addressing customer issues; sustaining existing features; and collaborating cross-functionally on innovations.
Top Skills:
BarefootBroadcomCC++CosDatapath AsicsDhcpEvpn-VxlanFirewall/FilteringInnoviumIpv4Ipv6LinuxMellanoxMicrokernelsMplsMulti-Core Software ArchitecturesMulticastNpusPythonRoutersSrv6Switches
Financial Services
Develop and troubleshoot secure, scalable software components for JPMorganChase’s Commercial Investment Bank. Responsibilities include designing Java and Spring microservices, working with MongoDB, Kafka, Kubernetes, cloud-native applications, CI/CD, testing, REST/MQ interfaces, and application resiliency. The role requires analyzing data, resolving technical issues, participating in agile delivery, and collaborating with globally diverse teams across the software development lifecycle.
Top Skills:
AntApache KafkaCi/CdCloud ComputingCucumberDockerJavaJmeterJunitKubernetesMavenMicroservicesMongoDBMqRestSeleniumSpring
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.
