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Salary
$25k – $69k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Middle
Overview
Company
Impact
Profile match
JPMorgan Chase & Co. is a leading global financial services firm and the largest banking institution in the United States by assets. Headquartered in New York City, the company offers a comprehensive range of financial solutions, including investment banking, asset management, treasury services, and commercial banking. Through its widely recognized consumer division, Chase, it delivers retail banking, credit card, and mortgage services to tens of millions of households across the globe.

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 EP, 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 solutions, design, development, and technical troubleshooting
  • Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
  • Applies reuse-first, AI-assisted practices within SDLC/toolchain routines to strengthen security testing and control validation, ensuring traceability/auditability and alignment to resiliency and security expectations
  • Uses enterprise-authorized AI capabilities within the work environment to accelerate vulnerability analysis synthesis and security documentation, validating outputs and ensuring sensitive data is handled appropriately
  • 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
  • Adds to team culture of diversity, opportunity, inclusion, and respect
  • Builds and maintains backend services (APIs and event-driven components) using Java (e.g., Spring Boot)
  • Develops, deploys, and supports solutions on AWS, leveraging core services for compute, storage, networking, security, and observability
  • Participates in production support (on-call/incident response), performing root-cause analysis and driving reliability/resiliency improvements

Required qualifications, capabilities, and skills

  • 3+ years of software engineering experience
  • 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
  • Demonstrable ability to code in Java (e.g., Spring Boot, RESTful services, microservices patterns)
  • Ability to review and validate AI-assisted code/security recommendations before use, escalating when uncertain and following security and data handling requirements
  • Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
  • Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • Working knowledge of AWS fundamentals, including IAM/access concepts and monitoring/logging
  • Exposure to data stores used in backend systems (relational and/or NoSQL) and writing efficient queries
  • Working knowledge of using enterprise-authorized AI capabilities within the work environment to support security engineering workflows with strong validation habits and awareness of data sensitivity

Preferred qualifications, capabilities, and skills

  • Familiarity with modern front-end technologies and Exposure to cloud technologies
  • Experience with AWS services and patterns (e.g., Lambda, ECS/EKS, API Gateway, SQS/SNS, DynamoDB/RDS, CloudWatch)
  • Experience with infrastructure as code and automation (e.g., Terraform or CloudFormation)
  • Familiarity with messaging/streaming (e.g., SQS) and distributed systems troubleshooting
  • Understanding of secure coding practices, authentication/authorization, and secrets management
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