Leads software engineering for JPMorgan Chase’s Infrastructure Platforms team. Designs, develops, tests, reviews, debugs, and troubleshoots secure, scalable Python applications using microservices, relational and NoSQL databases, and cloud-native technologies. Drives operational stability, automation, resiliency, security, CI/CD, and responsible adoption of AI-assisted development tools. Leads architectural evaluations with vendors and internal teams while mentoring engineers and applying software development lifecycle and agile practices.
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 Infrastructure Platforms 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 Infrastructure Platforms 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 experience with SW Development using Python(Django/FastAPI/Flask), RDBMs, NoSQL with microservice based architecture.
- 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
Preferred qualifications, capabilities, and skills
- Ability to initiate and implement ideas to solve business problems
- Passion for learning new technologies and driving innovative solutions.
JPMorganChase Hyderabad, Telangana, IND Office
JP Morgan Tower, Salarpuria Sattva Knowledge City, HITEC City, Raidurgam, Hyderabad, Telangana, India, 500081
Similar Jobs
Financial Services
Leads design, development, troubleshooting, and technical delivery for secure, scalable software solutions. Builds Python full-stack applications using Django, Flask, or FastAPI, alongside React and AngularJS. Provides technical leadership, reviews code and designs, resolves blockers, and promotes maintainable engineering practices. Develops APIs, integrates systems, supports cloud deployments, and applies CI/CD, resiliency, security, and agile methodologies. Guides responsible use and validation of AI-assisted development tools across the engineering team.
Top Skills:
Ai-Assisted Software Development ToolsAirflowAngularjsApi DevelopmentAstronomerBitbucketCi/CdDjangoDockerFastapiFlaskKubernetesPythonReact
Financial Services
Leads software engineering for secure, scalable Agentic AI products. Provides technical direction, develops and reviews production code, improves AI-assisted engineering practices, establishes validation and governance standards, and influences application design and operations. Requires advanced programming, AI agent frameworks, MCP, database, AWS cloud-native, resilient web services, and responsible AI expertise. Acts as a subject matter expert and mentors engineering teams.
Top Skills:
Agentic AiAi-Assisted Software DevelopmentAWSDynamoDBElasticsearchGoJavaModel Context Protocol (Mcp)MongoDBNosql DatabasesOpensearchPostgresPythonRelational DatabasesSdlc ToolchainsWeb Services
eCommerce • Logistics
Lead backend and cloud-native development while owning CI/CD, infrastructure automation, deployments, reliability, and observability. Build microservices and automated workflows for Azure AI Foundry model and agent lifecycles. Provision infrastructure with Terraform, deploy containerized workloads to AKS using Helm, implement monitoring and testing, troubleshoot production systems, and optimize performance, cost, and security. Collaborate across engineering, cloud, AI, QA, and operations teams using Agile practices.
Top Skills:
AnsibleApache KafkaAzureAzure Ai FoundryAzure Api Management (Apim)Azure App ServiceAzure Foundry SdkAzure FunctionsAzure Key VaultAzure Kubernetes Service (Aks)Azure StorageDockerEfkElkExpress.JsFastapiGitGithub ActionsGoogle Cloud Platform (Gcp)GrafanaHelmJavaJIRAJSONKubernetesNode.jsOpenapiPostgresPostmanPrometheusPythonRestSnowflakeSpring BootSQLTerraformYaml
What you need to know about the Hyderabad Tech Scene
Because of its proximity to leading research institutions and a government committed to the city's growth, Hyderabad's tech scene is booming. With plans to establish India's first "AI city," the city is on track to become one of the world's most anticipated tech hubs, with companies like TransUnion, Schrödinger and Freshworks, among others, already calling the city home.

