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Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Lead software development for Mastercard’s fraud decision management platform. Design, build, maintain, and support high-performance distributed backend systems using Java and modern cloud technologies. Lead SDLC activities, design and code reviews, Agile planning, production incident resolution, vendor coordination, offshore development, security compliance, and deployment planning. Mentor engineers, provide technical training, evaluate technologies, and improve engineering standards and delivery processes.
Top Skills:
AgileAWSCassandraCi/CdCweDockerGrpcIbm OdmJavaJenkinsKafkaKubernetesMqOracleOwaspSafeSei CertSpring Boot
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Leads software engineering for Mastercard Send, owning complex service-level problems, architecture, secure coding, testing, integration, automation, and production reliability. Writes and reviews code, drives prioritization and agile delivery, improves CI/CD pipelines, conducts troubleshooting and incident postmortems, mentors engineers, guides architecture, supports product acceptance, and participates in hiring and promotion decisions. The role requires cross-functional collaboration across globally distributed teams and ownership of high-availability digital payment services.
Top Skills:
APIsAWSAzureBddCheckmarxCi/CdContainerizationCweDevOpsGitGitflowJavaJavaScriptJenkinsKanbanOwaspScrumSei CertSonarSQLTddVirtualizationXl ReleaseZally
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Lead development of high-performance Java backend services for Mastercard’s fraud decision-management platform. Responsibilities include system design, production development, code and security reviews, CI/CD and cloud-native delivery, production support, SDLC documentation, vendor and offshore coordination, technical training, mentoring, and Agile SAFe participation. The role also drives engineering standards, technology evaluations, performance benchmarking, deployment planning, and secure coding practices.
Top Skills:
AgileAWSCassandraCi/CdCweDockerGrpcIbm OdmJavaJenkinsKafkaKubernetesMqOracleOwaspSafeSei CertSpring Boot
Leads software engineering for secure, scalable financial technology products. Designs, develops, reviews, debugs, and troubleshoots production code; improves automation, resiliency, and operational stability; and guides adoption of AI-assisted engineering practices. Evaluates vendor and internal architectures, establishes validation standards for AI outputs, and coaches teams on responsible, secure AI use. Requires advanced Java, AWS, AI/ML, LLM orchestration, RAG, modern front-end, automation, and financial services technology expertise.
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As a Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank Payments 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 JPMorganChase within the Commercial & Investment Bank Payments 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
- Demonstrable depth in AI/ML systems. Strong experience with AWS
- Advanced proficiency in Java, with strong experience in at least one additional programming language (e.g., Python) and modern front-end technologies (e.g., React)
- Practical understanding of LLM orchestration, RAG, tool calling, prompt engineering, and dynamic reasoning
- Proficiency in automation and continuous delivery methods. Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- In-depth knowledge of the financial services industry and their IT systems. 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
Preferred qualifications, capabilities, and skills
- Experience with vector databases and search (e.g., FAISS, OpenSearch/Elasticsearch, equivalents)
- Experience with Observability Stack.
- Knowledge of Splunk, DynaTrace, Geneos, etc
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.
