Similar Jobs
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Develop, test, deploy, troubleshoot, and refactor scalable software applications and components. Build full-stack services, APIs, interfaces, persistence layers, and distributed systems using Java, Python, Spring Boot, Kafka, cloud technologies, and AI development tools. Participate in design, testing, documentation, CI/CD, and feature rollouts while mentoring junior engineers and interns and contributing to technical decisions.
Top Skills:
APIsCi/CdClaude CodeCloud ComputingDatabasesGithub CopilotJavaKafkaLangchainLanggraphLlamaindexMcpPythonSpring BootVersion Control
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
Leads a global team of Technical Program Managers and governs a portfolio of engineering programs from inception through delivery. Responsibilities include portfolio governance, risk and dependency management, executive communication, resource planning, process standardization, performance management, and escalation resolution. The role partners with Product, Engineering, Architecture, Security, Operations, and Business teams; facilitates planning sessions; develops TPM talent; and drives predictable, efficient delivery of technology initiatives.
Develops secure, scalable backend software within an agile Payments Technology team. Responsibilities include coding, system design, troubleshooting, testing, SDLC participation, data analysis, AI-assisted development, and operational stability. Preferred experience includes Java, microservices, AWS EKS/ECS/EC2 deployments, Terraform, and relational databases such as Oracle or PostgreSQL.
You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.
As a Software Engineer II at JPMorganChase within the Commercial & Investment Bank- Payments Technology team, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.
Job responsibilities
As a Software Engineer II at JPMorganChase within the Commercial & Investment Bank- Payments Technology team, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.
Job responsibilities
- Executes standard software solution, design, development, and technical troubleshooting
- Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.
- Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
- 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
- Applies technical troubleshooting to breakdown solutions and solve technical problems of basic complexity
- Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
- Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 2+ years applied experience ( NAMR/APAC – India/ LATAM/ Hong Kong)
- Hands-on practical experience in system design, application development, testing, and operational stability
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
- 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 across the whole Software Development Life Cycle
- Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
Preferred qualifications, capabilities, and skills
- Full stack Java developer experience in enterprise application development
- Strong experience in SDLC delivery in Agile methodologies
- At least two years experience in Java 17+
- Experience developing microservices, packaged into AWS Elastic Kubernetes Service and/or Elastic Container Service, and deployed to EC2 instances
- Experience writing Terraform scripts and deploying in AWS production environment
- Experience in at least one relational database management system (preferably Oracle or PostgreSQL)
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.
