We have an opportunity to impact your career and provide an adventure where you can push the limits of what’s possible.
As a Software Engineer III at JPMorganChase within the Corporate Investment Bank Markets Technology team, youare an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives
Job responsibilities
- Design, develop, and implement cloud-based applications and services.
- Collaborate with architects and engineers to ensure design solutions are aligned with business goals.
- Optimize applications for performance, scalability, and security.
- Identify opportunities to eliminate or automate the remediation of recurring issues to enhance the overall operational stability of software applications and systems
- Participate in code reviews and provide constructive feedback to peers.
- Stay up to date with emerging Cloud and AI/ML technologies and industry trends to drive innovation and continuous improvement
- Lead communities of practice across Software Engineering to promote awareness and adoption of new and leading-edge technologies
- 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 applied experience
- Experience in cloud development, with a focus on application design and development.
- Proficiency in programming languages such as Java, Python, or Node.js.
- Strong experience with cloud platforms like AWS, Azure, or Google Cloud Platform.
- Experience building RESTful APIs and working with event-drivenorserverless architectures.
- Experience with Git, CI/CD pipelines, automated testing frameworks and DevOps practices.
- Experience with monitoring and logging tools likeCloudWatch, Dynatrace, Datadog,Prometheus, Grafana, or ELK stack.
- Proficiency in data warehousing solutions like Snowflake and Iceberg and relational databases such as RDS or Oracle.
- Experience in Infrastructure as code (IAC) such as Terraform or equivalent
- 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 Chain toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Preferred qualifications, capabilities, and skills
- Experience in automation in any scripting languages such as python/groovy etc.
- Exposure toweb-development frameworks e.g. React JS, Angular
- Relevant certifications such as AWS Certified Developer, Microsoft Certified: Azure Developer, or Google Professional Cloud Developer
- Familiarity with database technologies such as SQL, NoSQL, and cloud-native databases.
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