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 in Infrastructure Platforms, you join an agile Network Automation team enhancing and delivering secure, stable, scalable technology. We seek a Python developer (Associate) who designs, builds, and troubleshoots software across multiple components of products, applications, and systems. You will partner daily with stakeholders to stay aligned on shared goals, and thrive in a collaborative, trusting, thought-provoking environment that values diverse perspectives and innovative engineering solutions in our clients’ best interests while growing skills and experience to advance role.
Job responsibilities
- Executes standard software solutions, design, development, and technical troubleshooting, including troubleshooting and resolving technical issues across the stack.
- Develop Python-based products and features.
- Provide end-to-end support for applications in production.
- Contribute hands-on to application development, testing, and operational stability to deliver high-quality products.
- Implement solutions adhering to microservices architecture.
- Develop integration elements to enable seamless system interoperability.
- Build and maintain data models supporting application and API needs.
- Design and develop APIs and open 3rd-party SDKs.
- Implement and adhere to resiliency patterns.
- 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.
- 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 2+ years applied experience.
- Demonstrates strong experience building highly complex and resilient systems.
- Proficiency in Python, including Django and/or Flask.
- Hands-on experience with Kubernetes (K8s) and/or Cloud Foundry.
- Strong understanding of RabbitMQ, Celery, and asynchronous APIs.
- Good understanding of algorithms and data structures.
- Good understanding of microservices architecture.
- Good understanding of RDBMS databases.
- Proficiency in automated testing.
- 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
Preferred qualifications, capabilities, and skills
- Basic understanding of NoSQL databases like Cassandra, Elastic Search, Cockroach DB
- Understanding of Behavior driven design
- Understanding of Kubernetes, Cloud Foundry, APIGEE and cloud services