Develops, troubleshoots, and maintains secure, scalable software within an agile Payments Technology team. The role involves Python development, observability using OTel and Dynatrace, SDLC practices, AI-assisted coding, data analysis, microservices, AWS deployments, Terraform, and relational databases. Responsibilities include writing high-quality code, addressing technical issues, considering system dependencies, and contributing to resilient application development.
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 Python, Observability, OTel, Dynatrace
- 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 Python developer experience in enterprise application development
- Strong experience in SDLC delivery in Agile methodologies
- 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)
JPMorganChase Mumbai, Maharashtra, IND Office
B11, B9, B10, Nirlon Knowledge Park, near Mrinal Tai Gore Flyover, Cama Industrial Estate, Mumbai, Maharashtra, India, 400063
Similar Jobs
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
Collaborates with internal and client teams to analyze business problems, translate requirements into technical designs, and implement technology solutions. Develops technical features using appropriate methodologies, testing practices, and technology stacks. Supports project implementation planning, interprets business requirements, and contributes to small- and medium-scale client engagements involving databases, programming, cloud platforms, and analytics.
Top Skills:
AWSGoogle Cloud PlatformAzureMicrosoft CopilotPythonRdbmsSQL
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
Leads engineering teams building end-to-end data and analytics platforms. Owns technical design, architecture changes, scalability, performance, code reviews, estimation, delivery tracking, client presentations, innovation, and mentoring. Requires expertise in big data, distributed computing, cloud platforms, containerization, DevOps, CI/CD, monitoring, batch and real-time processing, migration, disaster recovery, and business continuity.
Top Skills:
Apache KafkaSparkApplication MonitoringAWSAws EcrAws EcsAws KinesisAzureBatch ProcessingCi/CdData CurationData GovernanceData IntegrationData QualityData VirtualizationDevOpsDockerGoogle Cloud PlatformHadoopHiveKubernetesMaster Data ManagementRabbitMQReal-Time Processing
Financial Services
Lead the Mumbai-based Investment Governance team, designing oversight frameworks, conducting methodology and periodic reviews, and delivering analytics and automation solutions. Translate findings into leadership insights, drive strategic governance initiatives, and partner with Due Diligence, Risk, Compliance, Middle Office, Product, and Technology teams. Manage, coach, and develop team members while ensuring analytical rigor, strong documentation, timely issue resolution, and continuous process improvement.
Top Skills:
Ai-Assisted Coding ToolsPythonWorkflow Automation
What you need to know about the Mumbai Tech Scene
From haggling for the best price at Chor Bazaar to the bustle of Crawford Market, the energy of Mumbai's traditional markets is a key part of the city's charm. And while these markets will always have their place, the city also boasts a thriving e-commerce scene, ranking among the largest in the region. Driven by online sales in everything from snacks to licensed sports merchandise to children's apparel, the local industry is worth billions, with companies actively recruiting to meet the demands of continued growth.
