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Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Develop and maintain scalable full-stack applications using Java, Spring Boot, React, REST, gRPC, microservices, databases, and event streaming. Design APIs, user interfaces, automated tests, and optimized database solutions while applying TDD, CI/CD, and AI-assisted engineering. Own initiatives through production, troubleshoot issues, participate in architecture and code reviews, mentor engineers, and promote secure, maintainable, high-performance development practices.
Top Skills:
Apache KafkaChatgptCi/CdContext ApiCSS3Github CopilotGrpcHibernateHTML5Java 17/21JavaScriptJestJpaJunit 5MicroservicesMockitoOraclePlaywrightPostgresProtocol BuffersReactReact Testing LibraryReduxRest ApisSpring BootSpring Boot TestSpring DataSpring FrameworkSQLTest-Driven DevelopmentTypescript
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Leads product strategy, roadmaps, requirements, and end-to-end delivery for Mastercard payment platform capabilities. Partners with Product Management, Engineering, Architecture, Operations, and global stakeholders to launch scalable products, prioritize investments, define KPIs, and optimize customer and business outcomes. Uses data analytics and AI tools to improve product discovery, decision-making, operational efficiency, and payment experiences. Presents strategies, business cases, risks, and recommendations to senior leaders.
Top Skills:
AgileAIData AnalyticsData VisualizationDigital Payment TechnologiesPayment Processing PlatformsScrum
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Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Develop and scale globally relevant data analytics and agentic AI products for enterprise and credit risk customers. Partner with analytics, machine learning, engineering, operations, legal, customer experience, commercial, and product teams. Gather customer feedback, analyze data, define product direction, create requirements and user stories, communicate product updates and risks, and support go-to-market initiatives throughout the product lifecycle.
Top Skills:
Machine LearningExcelPythonSQL
Lead development of scalable trading technology across pre-trade, trade capture, and pricing systems. Responsibilities include designing new systems, analyzing legacy platforms, building proof-of-concepts, supporting real-time trading applications, leading transformation initiatives, adopting AI-assisted engineering practices, and collaborating with trading, risk, P&L, management, and business stakeholders. The role also involves mentoring teams, establishing secure validation standards, developing performance metrics, and piloting new technologies.
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's Spread 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. Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job Responsibilities
- Design and develop trading tools, technical solutions and streamline technological stack across pre-trade, trade capture and pricing domain.
- Conduct thorough analysis of legacy systems and processes; identify areas for improvement and innovation
- 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.
- Develop metrics and KPIs to measure the success of transformation initiatives and report progress to senior leadership
- Drive the design and development of the new system, deep dive in-to existing system and processes to propose solutions
- Collaborate with wider SPG Trading, Risk and P&L teams to build scalable and robust solutions that support business needs
- Quickly develop proof-of-concept solution to prove feasibility of technological solutions
- Proactively communicate to management and business stake holders
- Lead pilot projects to test new technologies and methodologies, evaluating their potential impact on the firm
Required qualifications, capabilities, and skills
- Formal training or certification on Software Engineering concepts and 5+ years applied experience
- Experience using Java or Python, Spring Boot and messaging system.
- Excellent programming and problem-solving skills with 100% hands-on development, support, and bug fixes for real-time trading system
- Good working knowledge SQL/Stored Procedure
- Experience in developing software using Kafka, IBM MQ, Tibco and AMPS as messaging hubs
- Exposure to AWS technology is must.
- 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
- Experience in developing transformation projects with latest technological skills in Fixed Income trading system domain
- Demonstrated prior experience influencing across highly matrixed, complex organizations and delivering value at scale
- Experience in working on complex projects supporting system design, testing, and operational stability
Preferred qualifications, capabilities, and skills
- Strong soft skills, including presentation, negotiation, mentoring, and stakeholder management.
- Strong problem-solving, analytical, and communication skills.
- Ability to drive broader impact by sharing and contributing best practices
- Experience in the banking domain.
- AWS certification.
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.
