Leads software engineering within a banking technology team by designing, developing, testing, debugging, and operationalizing secure, scalable applications. Reviews production code, improves resiliency, automates recurring issue remediation, and promotes enterprise-approved AI-assisted development practices. Establishes validation standards for AI outputs, coaches engineers on responsible AI use, and evaluates vendor and architectural solutions. Requires strong SDLC, agile, security, CI/CD, cloud-native, and financial services technology expertise.
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorgan Chase within the Consumer and community banking technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
As a Lead Software Engineer at JPMorgan Chase within the Consumer and community banking technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- 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.
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Advanced in one or more programming language(s)
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Strong 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 coaching engineers on safe, compliant adoption within delivery practices
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- In-depth knowledge of the financial services industry and their IT systems
- Practical cloud native experience
Similar Jobs
Fintech • Financial Services
Leads development of an enterprise agentic AI platform using Python, GenAI, RAG, and multi-agent orchestration. Designs deep agents, tool-calling protocols, configurable workflows, and integrations with enterprise systems. Builds scalable backend services, optimizes retrieval pipelines, and ensures production reliability through observability, resilience, security, containerization, and CI/CD. Collaborates with stakeholders, mentors engineers, and establishes engineering best practices for AI safety and agentic system design.
Top Skills:
Active DirectoryAsyncioAutogenCi/CdCrewaiDeepagents SdkDistributed SystemsEmbeddingsFastapiFlaskGenerative AiGithub ActionsJenkinsKubernetesLangchainLanggraphMcpMongoDBNoSQLOpenshiftPythonRagRbacRest ApisSonarqubeSseSsoVector DatabasesWebsockets
Fintech • Financial Services
Lead the architecture and development of Wells Fargo’s agentic AI platform. Build production Generative AI, RAG, and multi-agent solutions using Python, integrate LLMs and enterprise tools, and create configuration-driven workflows for business users. Ensure scalability, observability, security, resilience, and reliable deployment through Kubernetes, CI/CD, and enterprise authentication. Mentor engineers, establish engineering standards, and collaborate with product, architecture, and business stakeholders on AI-driven automation.
Top Skills:
AdAsyncioAutogenCrewaiDeepagentsEmbeddingsFastapiFlaskGenerative AiGithub ActionsJenkinsKubernetesLangchainLanggraphMcpMongoDBNoSQLOpenshiftPythonRagRbacSonarqubeSseSsoVector DatabasesWebsockets
Financial Services
Leads software engineering within an infrastructure platforms team, developing and operating secure, cloud-native solutions using Golang and/or Java, Kubernetes, and public cloud platforms. Provides technical guidance, reviews code, drives automated testing and validation, improves operational stability, evaluates architectures, and promotes reusable engineering practices. Leads responsible adoption of AI-assisted development tools while ensuring security, correctness, resilience, and compliance across the software development lifecycle.
Top Skills:
AWSAzureCi/CdGCPGoJavaKubernetes
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.
