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

JPMorgan Chase & Co. • Plano, TX

1d

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

Benefits

• We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed