Top Software Engineer Jobs
Seeking a full stack Software Engineer with AWS and Python experience to assist in the engineering and deployment of Machine Learning solutions. Responsibilities include building cloud-based frameworks, providing software engineering expertise, and collaborating with Data Scientists on various projects.
As a Lead Platform Software Engineer in the Identity & Security workstream at JPMorgan Chase, you will be responsible for managing public cloud infrastructure, implementing IAM technologies, and upholding the risk and controls landscape of the bank. You will work closely with stakeholders in different teams and countries, ensuring compliance with industry standards and best practices in cloud security.
As an Applied AI / ML Lead - Senior Machine Learning Engineer at JPMorgan Corporate Investment Bank, you will lead the development of AI-powered products and services for financial services. Responsibilities include building data science capabilities, designing and deploying ML services, researching and analyzing data sets, and collaborating with cross-functional teams. Required qualifications include hands-on ML engineering experience, a PhD in a quantitative discipline, and expertise in NLP or Computer Vision. Preferred qualifications include experience with MLOps tooling, big data technologies, and microservices.
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Leading a team of engineers in developing tooling for security and controls in a cloud platform for a banking operation. Involves interacting with stakeholders, managing vendors, and supporting developers in their SDLC.
Join JPMorgan Chase as a Software Engineer III in the Global Banking Platform team, developing microservices, integrations, dashboards, and CI/CD pipelines. Responsibilities include designing and implementing scalable microservices, writing secure code, and managing deployments. Required skills include experience with major programming languages, Kubernetes, Terraform, and automated testing. Preferred qualifications include knowledge of banking/finance, AWS certification, and experience with databases and observability tools.
Lead Software Engineer at JPMorgan Chase within the Global Banking Platform (GBP) responsible for designing, implementing, and developing scalable microservices using software engineering best practices. Involves working on cloud native technologies, CI/CD pipelines, and supporting the core banking platform at a global scale.
Lead Software Engineer at JPMorgan Chase within the Global Banking Platform, responsible for designing, implementing, and developing microservices using best practices. Also includes writing secure code, managing deployments, mentoring engineers, and driving adoption of new technologies.
As a Software Engineer II at JPMorgan Chase, you will design, implement, and develop scalable microservices using best practices. Responsibilities include writing secure code, automated tests, troubleshooting deployments, and interfacing with other teams. Required skills include experience in system design, application development, testing, major programming languages (Go, Python, Java), and automated testing. Preferred qualifications include RESTful APIs, agile methodologies, banking/finance knowledge, cloud experience, database familiarity, and experience with client/server architectures, microservices, and orchestration tools.
As a Software Engineer II at JPMorgan Chase, you will be responsible for designing, implementing, and developing scalable microservices using best practices. You will write secure code, automate tests, troubleshoot deployments, and collaborate with other engineering teams. Knowledge of software development life cycle tools is essential.
Be an integral part of a team at JPMorgan Chase within the Global Banking Platform, enhancing, building, and delivering top-notch technology products. Responsibilities include designing scalable microservices, writing secure code, testing, troubleshooting deployments, and contributing to team culture. Required skills include proficiency in Go, Python, or Java, experience with RESTful APIs, and knowledge of agile methodologies.
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