Software Engineer II Python/Observation

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 AI/ML Data Platforms , 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
Hands-on practical experience in system design, application development, testing, and operational stability


* Experience in Python developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages


* Experience in observability such as white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, and others


* Strong understanding of SLI/SLO/SLA and Error Budgets


* Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.


* Ex...