About this role
Salary: £100,000 - 100,000 per year
Requirements: Formal training or certification on software engineering concepts and advanced applied experienceHands-on experience using enterprise-authorized AI-assisted software development tools within the work environment, with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and securityUnderstanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs and outputs, and adherence to resiliency and security expectationsProficiency in coding in Java, GoLang, or equivalent modern programming languagesExperience developing, debugging, and maintaining code in a large, complex environmentSolid understanding of agile methodologies, including continuous integration and continuous delivery, application resiliency, and securityDemonstrated knowledge of software applications and technical processes within a technical discipline such as cloud, artificial intelligence, machine learning, or mobileExperience with DevOps and Site Reliability Engineering principlesFamiliarity with VMware, OpenShift, Hyper-V, and bare metal platformsExperience with public cloud technologies such as AWS, Azure, or Google CloudPassion for innovation, AI, and continuous improvement practicesDemonstrated ability to thrive in a small, high-paced, globally distributed team environment Responsibilities: Execute software solutions across design, development, and technical troubleshooting, thinking beyond routine approaches to build innovative solutions and break down complex technical problemsCreate secure and high-quality production code, maintaining algorithms and systems that support robust private cloud infrastructureProduce architecture and design artifacts for complex applications, ensuring design constraints are met throughout the software development lifecycleDrive adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards and promoting reuse of effective patterns across the teamApply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automationCollaborate with cross-functional teams across the UK, Ireland, and the US to deliver scalable, resilient, and secure private cloud servicesContribute to software engineering communities of practice and events that explore new and emerging technologiesChampion a team culture of diversity, opportunity, inclusion, and respect Technologies: AIAWSAzureCloudDevOpsGolangHyper-VSupportJavaMachine LearningMobileOpenShiftSecurityVMwareMarketing More:
hackajob is partnering directly with JPMorganChase to hire for this role. We are seeking a Lead Software Engineer to join our Atlas On Premise and Next Generation Infrastructure team, where we focus exclusively on private cloud solutions and enabling multiple hypervisor platforms while delivering a consistent end user experience across on-premise and public cloud environments. You will be part of a small, high-paced agile team spanning the UK, Ireland, and the US, working on scalable, secure, and reliable cloud services. We value innovation, continuous improvement, AI tooling, diversity, inclusion, and respect, and we operate as part of J.P. Morgans global Corporate Functions organization.
last updated 39 week of 2026