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Software Engineer III - AWM Technology

JPMorgan Chase
Jersey City, USA
Full-time
Mid · 3+ years experience
Onsite
Discovered 1 weeks ago
awscloudformationdockerkubernetespythontypescript

Full Job Posting

Job Responsibilities

  • Design, develop, and implement large-scale data integration solutions across complex enterprise systems to support asset management business needs.
  • Build and maintain production-grade Python applications with a focus on reliability, scalability, and performance.
  • Develop and consume microservices and APIs to enable seamless data flow and system interoperability.
  • Utilize AWS cloud services to architect, deploy, and manage cloud-native applications and infrastructure.
  • Collaborate with cross-functional teams including product owners, data architects, and business analysts to translate requirements into technical solutions.
  • Participate in code reviews, testing, and continuous integration/continuous deployment (CI/CD) pipelines to ensure high-quality software delivery.
  • Troubleshoot and resolve production issues, ensuring minimal downtime and optimal system performance.
  • Contribute to the design and evolution of data models to support efficient data storage, retrieval, and processing.
  • Engage in knowledge sharing and mentoring of junior engineers to foster a collaborative engineering culture.
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
  • 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.

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 3+ years applied 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 (Python, TypeScript and/or Jave)) and database querying languages
  • Proven experience with large-scale data integrations in complex enterprise environments.
  • Expertise in designing, building, and consuming microservices and RESTful APIs.
  • Solid experience with AWS cloud services including but not limited to EC2, Lambda, S3, API Gateway, Glue and CloudFormation.
  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
  • Overall knowledge of the Software Development Life Cycle and best practices including version control, automated testing, and CI/CD.
  • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

  • Experience integrating Salesforce platforms
  • Knowledge of data model design principles and experience implementing data models in relational or NoSQL databases.
  • Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes.
  • Proficiency in utilizing AI-powered coding tools, including VS Code integrated plugins such as DevGPT, Claude Code, and similar technologies, to enhance development productivity and code quality.
  • Understanding of financial services domain, particularly asset management workflows and data requirements.

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