Software Engineer II Python/Observation

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 110,000 - 165,000; Full time

Job summary

JPMorgan Chase & Co. invites software engineers to join the AI/ML Data Platforms team in Jersey City, NJ, contributing to secure, scalable software components and enterprise-grade data pipelines. You will implement design, development, and troubleshooting across SDLC, using Python and CI/CD practices within an agile framework.

The role emphasizes observability with modern tools, responsible AI usage, and collaboration to deliver reliable, high-quality solutions in a large corporate environment.

Qualifications

• 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 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
• Experience across the whole Software Development Life Cycle
• Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security

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-approved AI coding assist tools to improve code quality, delivery speed, and productivity
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems
• Applies knowledge of SDLC tools and AI-assisted development to improve automation
• Applies technical troubleshooting to solve basic to intermediate problems
• Gathers and analyzes data to identify problems and contribute to secure, stable application development
• Learns and applies system processes for secure, stable code and systems

Skills

Python

System design

CI/CD

Observability

Agile

Tools

Grafana

Dynatrace

Prometheus

Datadog

Splunk

Job description

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.
• Experience across the whole Software Development Life Cycle
• Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Experience in Data pipelines using Spark
• Exposure to AWS & Databricks Platform administration.
• Knowledge of containerization (Docker, Kubernetes) and orchestration.