{"schemaVersion":"jobsearcher.job.v1","id":"77926511904b3e8186e0a65a","url":"https://jobsearcher.com/jobs/77926511904b3e8186e0a65a","canonicalUrl":"https://jobsearcher.com/jobs/77926511904b3e8186e0a65a","title":"Software Engineer III - Fullstack, Python, AWS, AI/ML","description":"JobID: 210718684\r\nCategory: Software Engineering\r\nJobSchedule: Full time\r\nPosted Date: 2026-03-29T21:33:50+00:00\r\nJobShift\r\n:\r\nAre you passionate about building the next generation of developer platforms and eager to shape the future of software delivery?\r\nJoin 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!\r\nJob responsibilities\r\n\r\nDevelop Python services, APIs, and tooling to improve CI/CD, deployment orchestration, and developer productivity on AWS\r\nBuild scalable, secure microservices and batch workflows using AWS services; ensure best practices for networking, identity, and security\r\nOwn infrastructure as Code with Terraform (modules, state management, environments); establish standards, reviews, and automation for plans/apply\r\nBuild integrations with enterprise systems and AWS services in Python; create reusable SDKs, CLI tools, templates, and libraries\r\nImplement policy-as-code, audit logging, compliance controls; enforce RBAC and secure secrets handling across applications and infrastructure\r\nOptimize deployment strategies (canary, blue/green), rollbacks, approvals, and gates within CI/CD pipelines\r\nDrive automated testing (unit, integration, contract) with Python frameworks; manage test data and continuous quality gates\r\nEnsure reliability and observability with logging, metrics, tracing, alerts; define SLOs and error budgets\r\nImplement performance tuning and cost optimization across compute, storage, and networking\r\nCollaborate with product, platform, security, and SRE teams\r\nContribute to roadmap, estimation, and delivery plans; manage technical risk, debt, and cross-team dependencies\r\n\r\nRequired qualifications, capabilities, and skills\r\n\r\nFormal training or certification on software engineering concepts and 5+ years applied experience\r\nProficiency in full stack development and strong experience with CI/CD platforms\r\nIn-depth experience designing, deploying, and managing solutions on AWS, including VPC, IAM, EC2, S3, Lambda, and networking/security best practices\r\nHands-on expertise with infrastructure-as-code using Terraform for provisioning and managing cloud resources\r\nProficient in containerization with Docker, including building, optimizing, and securing container images\r\nStrong background in orchestrating and scaling workloads using Kubernetes RBAC, and cluster management\r\nFamiliarity with multi-cloud environments (AWS, Azure, GCP) and integrating cloud-native services into CI/CD pipelines\r\nExpertise in pipeline design, deployment strategies, and release governance in regulated environments\r\nMust have a security-first mindset, secrets management, RBAC, OIDC/SAML, compliance, audit, and policy-as-code (OPA)\r\nProficiency on observability; logs, metrics, tracing (Datadog, Splunk, Prometheus, OpenTelemetry)\r\nStrong architectural design, documentation, and stakeholder communication skills\r\n\r\nPreferred qualifications, capabilities, and skills\r\n\r\nExperience with Agentic AI or integrating AI/ML models into CI/CD workflows\r\nFamiliarity with AI-driven automation, intelligent agents, or LLM-based developer tools\r\nExperience with API Gateway, container orchestration, serverless architectures, and Terraform Cloud/Enterprise\r\nKnowledge of security best practices in AWS, especially as they relate to AI/ML workloads\r\nExposure to prompt engineering, AI workflow orchestration, or embedding AI stages in the SDLC\r\nInterest in continuous learning and experimentation with emerging AI technologies in software engineering","company":"JPMorgan Chase","rawCompany":"jpmorgan chase","city":"Plano","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-05-15T05:54:46.986Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineer III - Fullstack, Python, AWS, AI/ML","description":"JobID: 210718684\r\nCategory: Software Engineering\r\nJobSchedule: Full time\r\nPosted Date: 2026-03-29T21:33:50+00:00\r\nJobShift\r\n:\r\nAre you passionate about building the next generation of developer platforms and eager to shape the future of software delivery?\r\nJoin 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!\r\nJob responsibilities\r\n\r\nDevelop Python services, APIs, and tooling to improve CI/CD, deployment orchestration, and developer productivity on AWS\r\nBuild scalable, secure microservices and batch workflows using AWS services; ensure best practices for networking, identity, and security\r\nOwn infrastructure as Code with Terraform (modules, state management, environments); establish standards, reviews, and automation for plans/apply\r\nBuild integrations with enterprise systems and AWS services in Python; create reusable SDKs, CLI tools, templates, and libraries\r\nImplement policy-as-code, audit logging, compliance controls; enforce RBAC and secure secrets handling across applications and infrastructure\r\nOptimize deployment strategies (canary, blue/green), rollbacks, approvals, and gates within CI/CD pipelines\r\nDrive automated testing (unit, integration, contract) with Python frameworks; manage test data and continuous quality gates\r\nEnsure reliability and observability with logging, metrics, tracing, alerts; define SLOs and error budgets\r\nImplement performance tuning and cost optimization across compute, storage, and networking\r\nCollaborate with product, platform, security, and SRE teams\r\nContribute to roadmap, estimation, and delivery plans; manage technical risk, debt, and cross-team dependencies\r\n\r\nRequired qualifications, capabilities, and skills\r\n\r\nFormal training or certification on software engineering concepts and 5+ years applied experience\r\nProficiency in full stack development and strong experience with CI/CD platforms\r\nIn-depth experience designing, deploying, and managing solutions on AWS, including VPC, IAM, EC2, S3, Lambda, and networking/security best practices\r\nHands-on expertise with infrastructure-as-code using Terraform for provisioning and managing cloud resources\r\nProficient in containerization with Docker, including building, optimizing, and securing container images\r\nStrong background in orchestrating and scaling workloads using Kubernetes RBAC, and cluster management\r\nFamiliarity with multi-cloud environments (AWS, Azure, GCP) and integrating cloud-native services into CI/CD pipelines\r\nExpertise in pipeline design, deployment strategies, and release governance in regulated environments\r\nMust have a security-first mindset, secrets management, RBAC, OIDC/SAML, compliance, audit, and policy-as-code (OPA)\r\nProficiency on observability; logs, metrics, tracing (Datadog, Splunk, Prometheus, OpenTelemetry)\r\nStrong architectural design, documentation, and stakeholder communication skills\r\n\r\nPreferred qualifications, capabilities, and skills\r\n\r\nExperience with Agentic AI or integrating AI/ML models into CI/CD workflows\r\nFamiliarity with AI-driven automation, intelligent agents, or LLM-based developer tools\r\nExperience with API Gateway, container orchestration, serverless architectures, and Terraform Cloud/Enterprise\r\nKnowledge of security best practices in AWS, especially as they relate to AI/ML workloads\r\nExposure to prompt engineering, AI workflow orchestration, or embedding AI stages in the SDLC\r\nInterest in continuous learning and experimentation with emerging AI technologies in software engineering","datePosted":"2026-05-15T05:54:46.986Z","dateModified":"2026-05-15T05:54:46.986Z","hiringOrganization":{"@type":"Organization","name":"JPMorgan Chase","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Plano","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"77926511904b3e8186e0a65a"},"url":"https://jobsearcher.com/jobs/77926511904b3e8186e0a65a"}}