Software Engineer II-DevOps - Cloud Platform

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 JPMorgan Chase in Infrastructure Platforms, you design and deliver public cloud infrastructure that helps us build reliable, secure services at scale. You work with us to apply strong software development practices and create automated build, test, and release pipelines to speed up delivery while improving quality. You also build automation tools in Python and Go, manage infrastructure through version-controlled configuration, and strengthen monitoring and audit logging so we can operate with clear visibility and confidence.

Job responsibilities

• Perform weekly release management for Terraform modules and Sentinel policies, including thorough code reviews to ensure quality, compliance, and smooth promotion across environments.
• Identify opportunities to proactively reduce toil and leverage cutting-edge technologies (Copilot/Claude) to automate and expedite deliveries.
• Administer and troubleshoot public cloud services and Infrastructure as Code (IaC) tooling across development, testing, and production environments.
• Develop Python and Go automation scripts to proactively detect anomalies across cloud services and Terraform modules.
• Create and manage automated batch workflows using Lambda and cron for scheduled reporting and health checks.
• Maintain integration and monitoring scripts to ensure seamless interoperability between cloud-native and third-party services.
• Collaborate with cross-functional and cross-region teams (Development, Cyber Controls, SRE, TSE) for deep-dive investigations and Root Cause Analysis (RCA).
• Troubleshoot and resolve infrastructure, deployment, and automation issues, driving continuous improvement through post-incident reviews.
• Apply CI/CD and SDLC best practices to improve reliability, repeatability, and delivery quality across environments.
• 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
• Proficiency in Python for automation, provisioning, monitoring, and operational tooling.
• Experience with Infrastructure as Code (IaC) concepts and tooling in cloud environments.
• Solid understanding of CI/CD tools such as Jenkins and/or Spinnaker.
• Proficiency with version control systems such as GitHub and/or Bitbucket.
• Strong understanding of SDLC best practices and change/release processes.
• 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.
• Experience supporting development, test, and production environments with operational rigor.
• Strong communication and collaboration skills with cross-functional stakeholders.

Preferred qualifications, capabilities, and skills

• Demonstrate multi-cloud exposure and understanding of cloud-agnostic design patterns.
• Build with IaC technologies such as Ansible, Terraform Enterprise, and CloudFormation.
• Use monitoring and logging tools such as Splunk, Grafana, and the ELK stack.
• Apply React knowledge (plus/optional).

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