Software Engineer Iii - Sre, Python/Java, Aws, Ai

JPMorganChase; Telangana; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

JPMorgan Chase is seeking a Software Engineer III in the Cloud Engineering team to design, automate, and secure AWS-hosted infrastructure. You will implement IaC with Terraform, write automation scripts in Python/Shell/Ruby, and contribute to monitoring, security, and CI/CD pipelines while supporting on-call incident response.

You will collaborate with development, operations, and security teams to deliver scalable cloud solutions and improve code quality using enterprise AI-assisted tools,

Qualifications

• Formal training or certification on software engineering concepts and 3+ years applied experience.
• Bachelor's degree in Computer Science, Information Technology, or related field.
• Proven experience as a Site Reliability Engineer or similar role.
• Strong proficiency in AWS services and architecture.
• Hands-on experience with enterprise-authorized AI-assisted software development tools with evaluation of outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, secure handling of inputs/outputs, resiliency and security expectations.
• Hands-on experience with Terraform for Infrastructure as Code.
• Proficiency in scripting languages such as Python, Shell, or Ruby.
• Experience with Docker and Kubernetes.
• Knowledge of monitoring, logging, and alerting tools.

Responsibilities

• Design and implement highly available, scalable, and secure infrastructure for AWS-hosted applications.
• Develop and maintain Infrastructure as Code (IaC) solutions using Terraform.
• Write automation scripts for deployment, configuration, and operational tasks using Python, Shell, or Ruby.
• Set up and manage monitoring, logging, and alerting to proactively detect and resolve issues.
• Participate in on-call rotations and incident response, driving post-incident improvements.
• Optimize application and system performance in collaboration with development teams.
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables, 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.
• Implement and enforce security best practices for cloud environments.
• Contribute to CI/CD pipeline implementation for automated deployments.
• Maintain thorough documentation of architecture, configurations, and procedures

Skills

AWS

Terraform

Python

Shell

Ruby

CI/CD

Kubernetes

Monitoring

Education

Bachelor's degree in Computer Science or related field

Tools

Terraform

Docker

Kubernetes

Job description

JOB DESCRIPTION

Join our innovative team to shape the future of cloud infrastructure. Leverage your skills in public cloud, automation, and coding to make a direct impact.

As a Software Engineer III at JPMorgan Chase within the Cloud Engineering team, you will ensure our AWS-hosted applications are reliable, scalable, and secure. You will collaborate with development, operations, and security teams to design and automate robust cloud solutions. Your expertise in public cloud, Terraform, and coding will help us deliver high-performing systems. We value your proactive approach to problem-solving and continuous improvement.

Job responsibilities

• Design and implement highly available, scalable, and secure infrastructure for AWS-hosted applications
• Develop and maintain Infrastructure as Code (IaC) solutions using Terraform
• Write automation scripts for deployment, configuration, and operational tasks using Python, Shell, or Ruby
• Set up and manage monitoring, logging, and alerting to proactively detect and resolve issues
• Participate in on-call rotations and incident response, driving post-incident improvements
• Optimize application and system performance in collaboration with development teams
• 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.
• Implement and enforce security best practices for cloud environments
• Contribute to CI/CD pipeline implementation for automated deployments
• Maintain thorough documentation of architecture, configurations, and procedures

Required qualifications, capabilities and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Bachelor's degree in Computer Science, Information Technology, or related field
• Proven experience as a Site Reliability Engineer or similar role
• Strong proficiency in AWS services and architecture
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
• Hands-on experience with Terraform for Infrastructure as Code
• Proficiency in scripting languages such as Python, Shell, or Ruby
• Experience with containerization and orchestration tools (Docker, Kubernetes)
• Knowledge of monitoring, logging, and alerting tools

Preferred qualifications, capabilities and skills

• Experience with serverless computing (AWS Lambda)
• Knowledge of application-level security best practices
• Experience with AWS managed services for databases, caching, and messaging
• Familiarity with security practices and compliance requirements

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