Software Engineer III - Fullstack, Python, AWS, AI/ML

JPMorganChase•Plano, TX

About The Position

Are you passionate about building the next generation of developer platforms and eager to shape the future of software delivery? Join JPMorganChase’s Asset and Wealth Management technology team, where you’ll 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, you’ll 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 you’re excited to learn, innovate, and drive the adoption of AI in real-world engineering workflows, this is the role for you!

Requirements

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

Nice To Haves

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

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