Lead a cross-functional agile team to design, develop, and maintain secure, scalable .NET-based cloud applications. Produce architecture artifacts, write high-quality code, troubleshoot complex issues, use CI/CD and cloud-native tooling, analyze large datasets for improvement, and drive adoption of approved AI-assisted engineering practices and validation standards.
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 Commercial & Investment Bank, 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 software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Contributes to software engineering communities of practice and events that explore new and emerging technologies.
- 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.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Hands-on practical experience in system design, application development, testing, and operational stability
- Proficient in coding in Microsoft .NETCore and SQL
- Hands on experience on micro services based architecture, kubernetes, Docker, Terraform/cloud formation etc. Design, building, configuring and maintaining cloud services to meet business needs
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Excellent Low Level Design and Implementation. Able to work independently with distributed development team and user base
- Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals
- Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
- Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud (AWS, Azure etc) , artificial intelligence, maFchine learning, mobile, etc.)
- 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
Preferred qualifications, capabilities, and skills
- General Capital markets, Securities Processing and Custody knowledge is highly desirable along with Automation, DevOps, SDLC & Agile methodologies
- Nice to have Proficiency on - React JS & Related Technologies, Entity Framework,. Knowledge of Heterogeneous Platforms Integration, Knowledge of Financial Domain
Similar Jobs
Financial Services
Designs, develops, tests, and maintains secure, scalable Java/Spring Boot and React applications. Produces architecture and design artifacts, analyzes large datasets to improve systems, leverages enterprise AI-assisted development tools, follows SDLC and CI/CD practices, and contributes to team culture and engineering communities.
Top Skills:
AWSCi/CdEnterprise Ai-Assisted Development ToolsJavaMicro Front-EndMicroservicesReactRestSpring Boot
Financial Services
Lead multiple engineering teams to design, migrate, and operate resilient AWS cloud platforms. Own cloud migrations, platform performance, cost optimization, automation (IaC/DevOps), monitoring, and secure AI-assisted engineering adoption while ensuring compliance and strong cross-functional collaboration.
Top Skills:
Ai-Assisted DevelopmentAnsibleApi GatewayArtifactoryAWSAzureCloud FoundryCloudFormationCloudfrontCloudwatchDatadogDockerDynamoDBDynatraceEc2EcsEfsEksElbGCPGitGoJavaJenkinsKubernetesMavenMftsNode.jsPrometheusPythonRdsRestful MicroservicesRoute53S3ScalaSnsSonarqubeSplunkSpring BootSQLSqsTerraformVpc Peering
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Lead development and deployment of production ML models and analytics for wealth management and retail banking. Analyze large datasets, design predictive solutions (segmentation, churn, personalization, risk), build data pipelines and feature engineering, monitor model performance, drive MLOps and responsible AI practices, and communicate insights to stakeholders.
Top Skills:
AWSAzureDatabricksFeature StoresGCPGenerative AiHadoopKerasLightgbmLlmsMlops FrameworksNlpPower BIPysparkPythonPyTorchScikit-LearnSparkSQLTableauTensorFlowXgboost
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.
