Software Engineer III Fullstack, Python, AWS, AIML

Plano, TX - USA

Monthly Salary: Not Disclosed

Posted on: 10 hours ago

Vacancies: 1 Vacancy

Job Summary

Description

Are you passionate about building the next generation of developer platforms and eager to shape the future of software delivery

Join JPMorganChases Asset and Wealth Management technology team where youll not only engineer robust CI/CD solutions but also have the unique opportunity to work at the forefront of AI-driven software development. As we embark on an ambitious roadmap to embed Agentic AI stages within the SDLC lifecycle youll gain hands-on experience with cutting-edge AI technologies collaborate with experts in the field and help define how intelligent automation transforms the developer experience. If youre excited to learn innovate and drive the adoption of AI in real-world engineering workflows this is the role for you!

Job responsibilities

Develop Python services APIs and tooling to improve CI/CD deployment orchestration and developer productivity on AWS
Build scalable secure microservices and batch workflows using AWS services; ensure best practices for networking identity and security
Own infrastructure as Code with Terraform (modules state management environments); establish standards reviews and automation for plans/apply
Build integrations with enterprise systems and AWS services in Python; create reusable SDKs CLI tools templates and libraries
Implement policy-as-code audit logging compliance controls; enforce RBAC and secure secrets handling across applications and infrastructure
Optimize deployment strategies (canary blue/green) rollbacks approvals and gates within CI/CD pipelines
Drive automated testing (unit integration contract) with Python frameworks; manage test data and continuous quality gates
Ensure reliability and observability with logging metrics tracing alerts; define SLOs and error budgets
Implement performance tuning and cost optimization across compute storage and networking
Collaborate with product platform security and SRE teams
Contribute to roadmap estimation and delivery plans; manage technical risk debt and cross-team dependencies

Required qualifications capabilities and skills

Formal training or certification on software engineering concepts and 5 years applied experience
Proficiency in full stack development and strong experience with CI/CD platforms
In-depth experience designing deploying and managing solutions on AWS including VPC IAM EC2 S3 Lambda and networking/security best practices
Hands-on expertise with infrastructure-as-code using Terraform for provisioning and managing cloud resources
Proficient in containerization with Docker including building optimizing and securing container images
Strong background in orchestrating and scaling workloads using Kubernetes RBAC and cluster management
Familiarity with multi-cloud environments (AWS Azure GCP) and integrating cloud-native services into CI/CD pipelines
Expertise in pipeline design deployment strategies and release governance in regulated environments
Must have a security-first mindset secrets management RBAC OIDC/SAML compliance audit and policy-as-code (OPA)
Proficiency on observability; logs metrics tracing (Datadog Splunk Prometheus OpenTelemetry)
Strong architectural design documentation and stakeholder communication skills

Preferred qualifications capabilities and skills

Experience with Agentic AI or integrating AI/ML models into CI/CD workflows
Familiarity with AI-driven automation intelligent agents or LLM-based developer tools
Experience with API Gateway container orchestration serverless architectures and Terraform Cloud/Enterprise
Knowledge of security best practices in AWS especially as they relate to AI/ML workloads
Exposure to prompt engineering AI workflow orchestration or embedding AI stages in the SDLC
Interest in continuous learning and experimentation with emerging AI technologies in software engineering

Required Experience:

DescriptionAre you passionate about building the next generation of developer platforms and eager to shape the future of software deliveryJoin JPMorganChases Asset and Wealth Management technology team where youll not only engineer robust CI/CD solutions but also have the unique opportunity to work ...

Description

Are you passionate about building the next generation of developer platforms and eager to shape the future of software delivery

Job responsibilities

Develop Python services APIs and tooling to improve CI/CD deployment orchestration and developer productivity on AWS
Build scalable secure microservices and batch workflows using AWS services; ensure best practices for networking identity and security
Own infrastructure as Code with Terraform (modules state management environments); establish standards reviews and automation for plans/apply
Build integrations with enterprise systems and AWS services in Python; create reusable SDKs CLI tools templates and libraries
Implement policy-as-code audit logging compliance controls; enforce RBAC and secure secrets handling across applications and infrastructure
Optimize deployment strategies (canary blue/green) rollbacks approvals and gates within CI/CD pipelines
Drive automated testing (unit integration contract) with Python frameworks; manage test data and continuous quality gates
Ensure reliability and observability with logging metrics tracing alerts; define SLOs and error budgets
Implement performance tuning and cost optimization across compute storage and networking
Collaborate with product platform security and SRE teams
Contribute to roadmap estimation and delivery plans; manage technical risk debt and cross-team dependencies

Required qualifications capabilities and skills

Formal training or certification on software engineering concepts and 5 years applied experience
Proficiency in full stack development and strong experience with CI/CD platforms
In-depth experience designing deploying and managing solutions on AWS including VPC IAM EC2 S3 Lambda and networking/security best practices
Hands-on expertise with infrastructure-as-code using Terraform for provisioning and managing cloud resources
Proficient in containerization with Docker including building optimizing and securing container images
Strong background in orchestrating and scaling workloads using Kubernetes RBAC and cluster management
Familiarity with multi-cloud environments (AWS Azure GCP) and integrating cloud-native services into CI/CD pipelines
Expertise in pipeline design deployment strategies and release governance in regulated environments
Must have a security-first mindset secrets management RBAC OIDC/SAML compliance audit and policy-as-code (OPA)
Proficiency on observability; logs metrics tracing (Datadog Splunk Prometheus OpenTelemetry)
Strong architectural design documentation and stakeholder communication skills

Preferred qualifications capabilities and skills

Experience with Agentic AI or integrating AI/ML models into CI/CD workflows
Familiarity with AI-driven automation intelligent agents or LLM-based developer tools
Experience with API Gateway container orchestration serverless architectures and Terraform Cloud/Enterprise
Knowledge of security best practices in AWS especially as they relate to AI/ML workloads
Exposure to prompt engineering AI workflow orchestration or embedding AI stages in the SDLC
Interest in continuous learning and experimentation with emerging AI technologies in software engineering

Required Experience:

Key Skills

APIs
Docker
Jenkins
REST
Python
AWS
NoSQL
MySQL
JavaScript
Postgresql
Django
GIT

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About Company

JPMorganChase

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans ov ... View more

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