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

JobID: 210718684 Category: Software Engineering JobSchedule: Full time Posted Date: 2026-03-29T21:33:50+00:00 JobShift : 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! 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