Join us and take your software engineering career to new heights, working on cutting-edge technology in a collaborative environment. You’ll have the opportunity to design and deliver market-leading products, leveraging Cloud-native and AI/ML engineering. We value your creativity, problem-solving skills, and passion for learning. Be part of a team that celebrates diversity, equity, and inclusion, and supports your professional growth. Your contributions will help shape the future of financial technology.
As a Software Engineer III at JPMorgan Chase as a part of the Markets Research Technology team, you will be responsible for designing and delivering secure, stable, and scalable technology products. Your role will involve hands-on work across data engineering, backend development, and AI/ML engineering, with a focus on industrializing models at a production scale. You will collaborate with agile teams to tackle complex technical challenges and support the firm's business objectives. Your contributions will have a direct impact on our technology stack and foster innovation within our team culture.
Job Responsibilities:
Execute software solutions, design, development, and technical troubleshootingCreate secure, high-quality production code and maintain algorithmsProduce architecture and design artifacts for complex applicationsBuild engineering stack for Data and AIML products, including Cloud infrastructure, DevOps, and MLOpsDesign and implement data engineering solutions using modern big data technologiesContribute to software engineering communities of practice and technology eventsFoster a team culture of diversity, opportunity, inclusion, and respectEmbrace learning, problem-solving, creative thinking, and a can-do attitudeRequired Qualifications, Capabilities, and Skills:
Formal training or certification on software engineering concepts and proficient applied experienceHands-on experience in system design, application development, testing, and operational stabilityProficient in coding in one or more languages, including PythonExperience developing, debugging, and maintaining code in large environmentsKnowledge of the Software Development Life CycleProven ability in system design, microservices, distributed systems, and data-intensive applicationsExperience with Cloud services, Infrastructure as Code, containerized application development, and big data technologiesPractical experience developing production-scale Cloud-native data engineering solutionsFamiliarity with Cloud Data engineering services and MLOpsAbility to convey design choices and communicate effectively with stakeholdersPreferred Qualifications, Capabilities, and Skills:
Experience with data and application migration to AWSExperience working on recommendation systems or other AI/ML systemsPractical experience with Kubernetes, EKS, Docker, MLOps, and SparkPrior experience collaborating with data scientists