JPMorganChase
Principal Software Engineer - Java/Python, Data Platforms, Cloud
Be an Early Applicant
Principal Software Engineer responsible for designing scalable software frameworks, writing and reviewing secure production code, and leading cloud-native data platform development. The role architects and governs agentic AI-enabled engineering workflows, establishes responsible AI and security guardrails, advises cross-functional teams, and serves as a technical subject matter expert. It requires strong Java or Python expertise, system design and application development experience, cloud and data platform knowledge, executive communication skills, and leadership in adopting AI-assisted development practices.
If you are looking for a game-changing career, working for one of the world's leading financial institutions, you’ve come to the right place.
As a Principal Software Engineer at JPMorgan Chase within the Finance Technology team, which is aligned to Corporate Technology division, you will provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organisation to drive best-in-class outcomes across various technologies to support one or more of the firm’s portfolios.
Job responsibilities
As a Principal Software Engineer at JPMorgan Chase within the Finance Technology team, which is aligned to Corporate Technology division, you will provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organisation to drive best-in-class outcomes across various technologies to support one or more of the firm’s portfolios.
Job responsibilities
- Creates complex and scalable coding frameworks using appropriate software design frameworks
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Architects and governs agentic AI-enabled engineering workflows (using enterprise-authorised tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root-cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorised AI-assisted development and automation capabilities, to improve the value realised by automation at scale.
- Advises cross-functional teams on technological matters within domain of expertise
- Serves as the function’s go-to subject matter expert
- Contributes to the development of technical methods in specialised fields in line with the latest product development methodologies
- Creates durable, reusable software frameworks that are leveraged across teams and functions
- Influences leaders and senior stakeholders across business, product, and technology teams
Required qualifications, capabilities, and skills
- 10+ years relevant experience while having an overall of min 15+ years of technology experience
- Expert in Java or Python programming
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Experienced in Data & cloud-native platforms
- Demonstrated experience designing and leading adoption of agentic AI-enabled development practices (using enterprise-authorised tools within the work environment) across teams, including setting standards for human-in-the-loop validation, auditability/traceability of changes, and secure handling of sensitive data.
- Strong understanding of responsible AI use and control expectations in engineering workflows, including security/resiliency implications, data sensitivity, and risk-based governance; ability to influence senior technical leaders on safe scaling patterns and reuse.
- Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplines
- Ability to present and effectively communicate with senior leaders and executives
- Practical cloud native experience
Preferred qualifications, capabilities, and skills
- Familiarity with agile methodologies
- Knowledge of emerging industry trends
- Experience with Databricks
JPMorganChase Bengaluru, Karnataka, IND Office
Devarabeesanahalli, Bellandur, Outer Ring Road, Bengaluru, Karnataka, India, 560103
Similar Jobs
Fintech • Financial Services
Leads software engineering initiatives focused on generative AI. Designs, codes, tests, debugs, documents, and deploys complex technology solutions while guiding less experienced engineers. Develops AI and machine learning applications, including RAG pipelines, model training, tuning, microservices, cloud infrastructure, integrations, CI/CD, observability, and DevOps practices. Collaborates with technical stakeholders, resolves complex issues, supports enterprise risk and compliance requirements, and evaluates emerging technologies through proofs of concept.
Top Skills:
AjaxAngularAnsibleSparkAWSAzureDatadogDevOpsElk StackGoogle Cloud Platform (Gcp)GrafanaHadoopHarnessInfrastructure As CodeJavaScriptJenkinsJqueryLangchainLanggraphLarge Language Models (Llms)MicroservicesPrometheusPythonPyTorchReactRestRetrieval-Augmented Generation (Rag)ServicenowSoapTensorFlowTest-Driven DevelopmentVector Databases
Fintech • Financial Services
Supports institutional investment operations through trade processing, transaction reconciliation, inquiry research, exception resolution, documentation review, and operational issue management. Maintains risk, audit, compliance, and control requirements; recommends process improvements; participates in initiatives; and guides less experienced team members. Collaborates with internal and external stakeholders to deliver accurate, timely services. Requires at least two years of institutional investment operations experience and availability for a 5:30 PM to 2:30 AM shift.
Fintech • Financial Services
Develop, test, debug, document, upgrade, and deploy Java full-stack applications and microservices. Improve service quality and availability, evaluate technology solutions, resolve technical issues, and support security and compliance requirements. The role requires strong experience with Java, microservices architecture, APIs, cloud and distributed systems, Angular front-end development, testing frameworks, observability tools, and modern architectural patterns. Candidates may also lead a small technical team and contribute to Scrum-based development.
Top Skills:
Ai ToolsAngularAngularjsApigeeAppdynamicsAWSBootstrapCucumberDistributed LoggingDistributed TracingDomain-Driven DesignElk StackFongoGitGradleJ2EeJavaJunitKafkaMicroservicesMockitoMongoDBPcfPrimengRdbmsService DiscoveryService MeshSplunkSpring Cloud GatewayTestng
What you need to know about the Bengaluru Tech Scene
Dubbed the "Silicon Valley of India," Bengaluru has emerged as the nation's leading hub for information technology and a go-to destination for startups. Home to tech giants like ISRO, Infosys, Wipro and HAL, the city attracts and cultivates a rich pool of tech talent, supported by numerous educational and research institutions including the Indian Institute of Science, Bangalore Institute of Technology, and the International Institute of Information Technology.
